SanYu Research Engine MCP Server

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answering

SanYu Research Engine is answering right now. Last checked 10 min ago. It exposes 147 tools. Last commit 7 Nov 2026.

106 deterministic medical research tools: stats, survival, bioinformatics, primers. Auditable.

Uptime history 36 hours of history · worst hour 25%

36 hours agonow

94.5%

Uptime 24h

86 of 91 checks

147

Tools

read from the server

1474 ms

Response time

average over 24h

Stars

last commit 7 Nov 2026

What changed 330

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 7 November 2026. No other catalogue keeps this.

8 Nov 40 tools appeared academic_polish, acceptance_probability, cover_letter and 37 more

8 Nov 39 tools disappeared act_cover_letter, act_decision_arbitration, act_deep_review and 36 more

7 Nov 145 tools appeared act_cover_letter, act_decision_arbitration, act_deep_review and 142 more

7 Nov 105 tools disappeared act_animal_arrive_check, act_animal_dosing, act_animal_organ_coef and 102 more

7 Nov a tool description was rewritten sanyu_list_actions

SanYu Research Engine does not always answer

Over the last week it answered 96.2% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add sanyu-research --transport http https://sanyu.wentangkeji.com/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://sanyu.wentangkeji.com/api/mcp

~/.codex/config.toml

[mcp_servers.sanyu-research]
url = "https://sanyu.wentangkeji.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "sanyu-research": {
      "url": "https://sanyu.wentangkeji.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "sanyu-research": {
      "type": "http",
      "url": "https://sanyu.wentangkeji.com/api/mcp"
    }
  }
}

Available tools 147

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

topic

topic_feasibility

Topic feasibility check / 选题可行性评估 | USE WHEN: the user asks whether a topic is doable with their time, sample and resources | ALIASES: 可行性, 做得完吗, 条件够不够, 能不能做, 难度, feasibility, can I finish this | RETURNS: 可行性评分与建议

topic_gaps

Research gap mining / 研究空白分析 | USE WHEN: the user asks what is still unknown in a field, where the gap is | ALIASES: 研究空白, 还有什么没做, 切入点, 空白点, gap, research gap, 还没解决的 | RETURNS: 研究空白清单

topic_generate

Research topic generation / AI 生成研究选题 | USE WHEN: the user wants research topic ideas or directions for a field / clinical problem | ALIASES: 选题, 出个题目, 生成选题, 开题方向, 想个课题, topic ideas, research topic, brainstorm topics | RETURNS: 若干候选选题

topic_lit_review

Topic literature review / 选题文献综述 | USE WHEN: the user wants a literature review or state-of-the-art summary for a topic | ALIASES: 文献综述, 研究现状, 综述, literature review, state of the art, 现状梳理 | RETURNS: 综述文本

topic_novelty

Topic novelty check / 选题新颖性检索 | USE WHEN: the user asks whether a topic is new, or whether someone already published it | ALIASES: 创新点, 新不新, 有没有人做过, 查新, 重复了没有, novelty, is this new, already published | RETURNS: 新颖性评估与相似研究

topic_ppt

Topic presentation outline / 选题汇报 PPT | USE WHEN: the user wants slide content / presentation material for a topic (开题汇报 / 组会汇报) | ALIASES: PPT, 汇报, 课件, 开题汇报, 组会, slides, presentation, 做几页 | RETURNS: PPT 内容

topic_prominence

Topic prominence analysis / 选题显示度分析 | USE WHEN: the user asks whether a research direction is hot, influential or crowded | ALIASES: 显示度, 热不热, 影响力, 热度, 关注度, prominence, is this field hot | RETURNS: 显示度指标

topic_research_plan

Topic-level research plan / 生成研究计划 | USE WHEN: the user wants a staged plan (milestones, order of work) for a chosen topic | ALIASES: 研究计划, 怎么安排, 时间表, 进度安排, research plan, milestones, 分几步做 | RETURNS: 研究计划文本

design

design_gate_rules

Design gate rules / 方案设计闸门规则 | USE WHEN: explain why a design step is blocked, or what the platform requires for each step (hard gates G1/G2/G3) | ALIASES: 方案设计闸门, 为什么不让过, 硬性要求, gate rules, validation rules, why blocked | RETURNS: 每步是否有硬闸门、三道跨步闸门 G1/G2/G3 的原文规则

design_next_step

Next design step / 建议下一步该做什么 | USE WHEN: the user asks what to do next in the protocol flow, or which step is still empty | ALIASES: 下一步做什么, 还缺哪步, 设计流程走到哪, next step, what is missing | RETURNS: 下一步的 step 编号、名称、为什么需要它

design_protocol_generate

Full research protocol generation / 生成研究方案 | USE WHEN: the user wants a complete research protocol including sample size, statistical plan and ethics points | ALIASES: 研究方案, 方案正文, 写方案, 方案生成, protocol, full protocol | RETURNS: 研究方案正文

design_step_context

Design step context / 取某一步的上下文 | USE WHEN: load what the user already answered for a design step (PICO / design type / population) before drafting the next step | ALIASES: 方案设计上下文, 上一步内容, 已经填过的信息, design context, previous step, project context | RETURNS: 该步骤可用的前序上下文（pico / design_type / population / topic）

design_type_decision

Study design decision / 研究设计决策推荐 | USE WHEN: the user asks which study design to use (RCT vs cohort etc.) and why; rule-based decision tree with a scoring matrix, not LLM guessing | ALIASES: 用什么设计, RCT还是队列, 设计决策, 选哪个设计, design decision, which design type | RETURNS: 推荐设计类型、框架、推荐依据、分配比例

metabolite

metabolite_heatmap

Metabolite heatmap / 代谢组热图 | USE WHEN: clustered heatmap of metabolites | ALIASES: 代谢热图, 聚类热图, heatmap, metabolite heatmap | RETURNS: 聚类热图

metabolite_pathway

Metabolite pathway enrichment / 代谢物通路富集 | USE WHEN: pathway enrichment for differential metabolites | ALIASES: 代谢物通路, 代谢富集, metabolite pathway, KEGG代谢, 差异代谢物 | RETURNS: 代谢通路富集

metabolite_pca

Metabolite PCA / 代谢组 PCA | USE WHEN: sample separation / outliers in metabolomics (unsupervised) | ALIASES: 代谢组PCA, PCA, 样本分组趋势, 离群, unsupervised, 得分图 | RETURNS: PCA 得分与解释度

metabolite_plsda

Metabolite PLS-DA / 代谢组 PLS-DA | USE WHEN: supervised discrimination and VIP for differential metabolites | ALIASES: PLS-DA, 有监督判别, VIP, 代谢组判别, 判别分析 | RETURNS: PLS-DA 模型与 VIP

metabolite_volcano

Metabolite volcano plot / 代谢组火山图 | USE WHEN: volcano plot of differential metabolites | ALIASES: 代谢火山图, volcano, 差异代谢物火山图 | RETURNS: 火山图

animal

animal_dose_volume

Animal dose & injection volume / 动物给药量计算 | USE WHEN: compute the dose (mg) and injection volume (mL) for an animal from body weight and mg/kg | ALIASES: 动物给药量, 给药体积, 按体重给药, dose volume, mg/kg, 注射体积, 灌胃体积 | RETURNS: 给药量与体积

animal_randomization

Animal randomization / 动物随机分组 | USE WHEN: randomly assign animals to groups as required by ARRIVE | ALIASES: 动物随机分组, animal randomization, 分组表, 动物分组 | RETURNS: 分组表

animal_sample_size

Animal sample size (3R) / 动物实验样本量 | USE WHEN: how many animals per group are needed (power-based, ARRIVE/3R wording) | ALIASES: 动物样本量, 动物要多少只, 每组几只, animal sample size, 3R, power animals | RETURNS: 每组动物数

animal_survival_km

Animal survival analysis / 动物生存分析 | USE WHEN: Kaplan-Meier and log-rank on animal death/survival times | ALIASES: 动物生存分析, 生存曲线, log-rank, animal survival, KM, 死亡时间 | RETURNS: KM 曲线与 log-rank

literature

literature_compare

Compare with published literature / 与已有文献对比 | USE WHEN: the user wants to know how their findings differ from what is already published | ALIASES: 和文献比, 新在哪, 对比已有研究, literature compare, how is this different | RETURNS: 对比结论

literature_digest_card

Literature digest card / 文献摘要卡生成 | USE WHEN: the user gives a paper and wants a structured digest card out of it | ALIASES: 摘要卡, 文献卡片, 精读卡, digest, literature card | RETURNS: 摘要卡

literature_review_outline

Review outline from reading list / 文献综述提纲 | USE WHEN: the user wants a review outline built from the papers already digested | ALIASES: 综述提纲, review outline, 按精读文献出提纲 | RETURNS: 综述提纲

literature_search_pmc

Literature search (1.53M PMC full texts) / 文献检索（站内 153 万篇 PMC） | USE WHEN: search the in-house PMC corpus for literature / evidence / state of the art | ALIASES: 找文献, 文献检索, 检索文献, literature search, PMC, 证据, 研究现状, PubMed替代 | RETURNS: 文献列表（含 PMCID）

protein

protein_digest

In-silico protein digestion / 蛋白酶解模拟 | USE WHEN: choose protease and list peptides for mass-spec sample prep | ALIASES: 蛋白酶解, 质谱前处理, 酶解肽段, digest, trypsin, 肽段清单 | RETURNS: 肽段清单

protein_enrichment

Protein enrichment / 蛋白富集分析 | USE WHEN: GO/KEGG enrichment for a protein list | ALIASES: 蛋白富集, protein enrichment, 蛋白GO, 蛋白通路 | RETURNS: 富集通路

protein_physchem

Protein physicochemical properties / 蛋白理化性质 | USE WHEN: molecular weight, pI, GRAVY, instability index etc. from a protein sequence | ALIASES: 蛋白理化性质, 分子量, 等电点, pI, GRAVY, 疏水性, MW, protein properties | RETURNS: MW/pI/GRAVY 等

protein_ptm

Post-translational modification prediction / 翻译后修饰分析 | USE WHEN: predict phosphorylation / glycosylation and other PTM sites | ALIASES: 翻译后修饰, 磷酸化位点, 糖基化, PTM, phosphorylation, modification sites | RETURNS: 修饰位点预测

evidence

evidence_followup

Evidence follow-up Q&A / 证据追问（多轮） | USE WHEN: multi-turn follow-up on an evidence card (causal judgement) | ALIASES: 证据追问, 继续追问, 证据卡, evidence followup, 因果判断 | RETURNS: 追问答复

evidence_intake

Structured evidence intake / 文献证据分级录入 | USE WHEN: decompose a paper into a structured evidence card by evidence level (Decision OS) | ALIASES: 证据分级, 证据卡, 文献拆解, evidence level, GRADE, 证据录入 | RETURNS: 结构化证据卡

evidence_report

Evidence report narrative / 证据报告叙述 | USE WHEN: turn evidence cards into a readable report | ALIASES: 证据报告, 证据综述, evidence report, 证据叙述 | RETURNS: 证据报告正文

paper

paper_draft_one_click

One-click manuscript draft / 一键生成论文初稿（主线） | USE WHEN: the user wants a full manuscript drafted in one go; this submits a background job that generates chapter by chapter, so the first response is a job id, not the text | ALIASES: 一键写论文, 写整篇, 出初稿, 生成正文, 一键生成, manuscript draft, write the whole paper | RETURNS: 初稿任务（后台逐章生成）

paper_outline

Manuscript outline / 生成论文提纲 | USE WHEN: the user wants the outline / chapter structure before the full text is written | ALIASES: 提纲, 目录, 章节结构, 论文框架, outline, chapter structure | RETURNS: 章节提纲

paper_six_agent_review

Six-agent manuscript review / 论文预审（六智能体） | USE WHEN: the user wants a pre-submission review to find the reasons a paper would be rejected | ALIASES: 预审, 六智能体, 审稿意见, 投稿前审, manuscript review, six agent review | RETURNS: 审稿意见与评分

scrna

scrna_annotate

Single-cell type annotation / 单细胞细胞类型注释 | USE WHEN: automatically annotate cell types in single-cell clusters | ALIASES: 细胞类型注释, annotation, 单细胞注释, cell type, 自动注释 | RETURNS: 细胞类型注释

scrna_cluster

Single-cell clustering / 单细胞分析 | USE WHEN: cluster and embed single-cell data (UMAP) | ALIASES: 单细胞, scRNA, 聚类降维, UMAP, Seurat, single cell | RETURNS: 聚类结果与 UMAP

scrna_markers

Single-cell marker genes / 单细胞 Marker 基因 | USE WHEN: find marker genes per cluster | ALIASES: marker基因, 各群marker, markers, 差异标记, cluster markers | RETURNS: 各群 marker

tumor

tumor_growth_inhibition

Tumour growth inhibition (TGI) / 抑瘤率 TGI | USE WHEN: compute TGI (%) from control vs treated tumour volumes, with a group comparison | ALIASES: 抑瘤率, TGI, 肿瘤抑制率, tumour growth inhibition, 抑瘤实验, 药效评价 | RETURNS: TGI 与统计检验

tumor_microenvironment

Tumour microenvironment / 肿瘤微环境分析 | USE WHEN: assess tumour immune microenvironment from TILs / CD8 / PD-L1 data (typing + prognosis hint) | ALIASES: 肿瘤微环境, TME, 免疫浸润, TIL, PD-L1, CD8, immune microenvironment | RETURNS: 微环境分型与预后提示

tumor_volume_curve

Tumour volume & growth curve / 肿瘤体积计算 | USE WHEN: tumour volume from caliper length/width and the growth curve over days | ALIASES: 肿瘤体积, 长短径算体积, 生长曲线, tumor volume, caliper, 生长抑制曲线 | RETURNS: 体积与生长曲线

citation

citation_format

Citation formatting / 引文格式化 | USE WHEN: reformat references to Vancouver / APA / GB-T 7714 | ALIASES: 参考文献格式, 引文格式, Vancouver, APA, GB/T 7714, citation, 文献格式 | RETURNS: 格式化后的引文

citation_verify

Verify citation authenticity / 引文真实性核验 | USE WHEN: check whether references are fabricated (existence check against the local corpus) | ALIASES: 核验参考文献, 引用是真的吗, 假文献, citation verify, 参考文献真实性, hallucinated reference | RETURNS: 逐条核验结果

dataset

dataset_columns

List data columns / 读取数据列名 | USE WHEN: list the variables in an uploaded data file (do this before Table 1 / modeling so you use real column names) | ALIASES: 列名, 有哪些变量, 字段名, columns, variables, 变量清单, 表头 | RETURNS: 列名与类型

dataset_profile

Dataset profile / 数据快速画像 | USE WHEN: first look at a data file: distributions, missingness, outliers, data quality overview | ALIASES: 数据长什么样, 描述统计, 缺失情况, 数据质量, data profile, descriptive, summary stats, EDA | RETURNS: 描述统计与质量概览

flow

flow_cluster

Flow cytometry clustering / 流式细胞聚类 | USE WHEN: unsupervised clustering of flow cytometry data into cell populations | ALIASES: 流式聚类, 无监督分群, flow clustering, 细胞群, FlowSOM | RETURNS: 细胞群与比例

flow_gate

Flow cytometry gating / 流式门控分析 | USE WHEN: gating / population percentages from flow cytometry data | ALIASES: 流式门控, 圈门, gating, 阳性比例, flow cytometry | RETURNS: 门控比例

gene

gene_info_lookup

Gene information lookup / 基因信息检索 | USE WHEN: what a gene does: full name, aliases, function, location | ALIASES: 基因信息, 这个基因是干什么的, gene function, 别名, gene info, 基因全称 | RETURNS: 基因信息

gene_pathway_disease

Gene → pathway → disease network / 基因-通路-疾病网络 | USE WHEN: from a gene list, find pathway / disease / drug associations and build a mechanism network | ALIASES: 基因通路, 机制网络, gene pathway, 疾病关联, 药物靶点, network, 通路疾病 | RETURNS: 通路/疾病/药物关联

pico

pico_refine

PICO refinement / PICO 精炼 | USE WHEN: turn a vague clinical question into a structured PICO (Population / Intervention / Comparator / Outcome) | ALIASES: PICO, 把问题拆开, 研究问题怎么提, refine question, 结构化问题, PICO拆解 | RETURNS: 结构化 PICO

pico_structure

PICO structuring (design flow) / PICO 结构化精炼 | USE WHEN: the user says refine my PICO / turn this sentence into PICO / how to split PICO; only structures what the user said and reports missing elements instead of inventing them | ALIASES: 精修PICO, PICO拆解, 做成PICO, 结构化PICO, pico refine, structure pico | RETURNS: PICO 四要素结构化结果 + 提示缺哪些要素

protocol

protocol_export

Export protocol document / 导出研究方案书 | USE WHEN: the user wants the full protocol document exported; run the export check first and report blocking issues honestly instead of exporting silently | ALIASES: 导出方案, 方案书, 生成方案文档, 协议导出, export protocol, protocol document | RETURNS: 方案书全文（分章节：题目/PICO/设计/假设/纳排/样本量/伦理/变量字典/干预/随机化/偏倚/预算）

protocol_export_check

Protocol export readiness check / 方案导出前检查 | USE WHEN: the user asks can I export / check the protocol for holes before ethics submission; covers SPIRIT 2025 coverage, GCP approval status and cross-document consistency | ALIASES: 能不能导出, 导出前检查, 方案有没有漏洞, 方案检查, export check, SPIRIT, GCP | RETURNS: can_export、SPIRIT 覆盖度与缺失项、G3 一致性问题清单与改法、阻断原因

qpcr

qpcr_bayesian_design

qPCR Bayesian design / 贝叶斯自适应设计（qPCR） | USE WHEN: design a qPCR experiment / digital-twin PCR simulation for a target | ALIASES: qPCR设计, 贝叶斯自适应, digital PCR, 实验设计, target, 扩增效率 | RETURNS: 实验设计方案

qpcr_ddct

qPCR 2^-ddCt relative expression / qPCR 相对表达量（2^-ΔΔCt） | USE WHEN: compute dCt, ddCt and 2^-ddCt fold change from target and reference Ct values, with a group test (calibrated on the mean control dCt) | ALIASES: qPCR, 2^-ddCt, 相对表达量, 倍数, dCt, ddCt, fold change, 内参, Ct值, 基因表达 | RETURNS: fc（2^-ΔΔCt 相对倍数，已按对照组 ΔCt 均值校准）、fold_values、p_value、stat_method（welch_ttest_on_dct / student_ttest_on_dct …

sanyu

sanyu_job_status

Get progress and result of an asynchronous job. 生成类动作（topic_generate / paper_draft_one_click / …）提交后返回 job_id（engine_status=queued），用这个工具轮询：每 3 秒查一次，最多等 300 秒；status=succeeded 取 result，failed 读 error（失败不扣分）。US English: poll a queued generation job until succeeded/failed.

sanyu_list_actions

List every tool on this server as a compact catalogue (name / when-to-use / returns / required params / cost). 列出三域医研全部动作摘要。仅在不确定该用哪个工具时调用；已知工具名可直接调用对应工具。

table

table_one_baseline

Table 1 (baseline characteristics) / 生成 Table 1（基线特征表） | USE WHEN: build the paper's first table: baseline characteristics by group with P values | ALIASES: Table 1, 基线表, 基线特征表, 人口学表, 第一张表, baseline table, characteristics table, 组间比较表 | RETURNS: Table 1 表格 + 可选段落

table_one_subgroup

Subgroup Table 1 / 分组 Table 1（亚组表） | USE WHEN: baseline characteristics split by a subgroup variable (e.g. by sex, by centre) | ALIASES: 亚组基线表, 分层基线表, subgroup table, stratified baseline, 按某变量分层 | RETURNS: 亚组表

academic

academic_polish

Academic language polishing / 中英文润色 | USE WHEN: the user wants a paragraph polished: academic English, remove Chinglish, tighten wording | ALIASES: 润色, 改英语, 中式表达, 语言润色, polish, proofread, 学术英语 | RETURNS: 润色后文本

acceptance

acceptance_probability

Acceptance probability / 录用概率预测 | USE WHEN: the user asks the chance of acceptance at a specific journal | ALIASES: 中稿概率, 录用概率, 能中吗, acceptance, predict success, 投中的机会 | RETURNS: 中稿概率与依据

arrive

arrive_checklist

ARRIVE 2.0 checklist / ARRIVE 2.0 检查 | USE WHEN: check an animal experiment against the ARRIVE 2.0 reporting guideline | ALIASES: ARRIVE, 动物实验规范, 动物伦理报告, animal reporting, ARRIVE 2.0 | RETURNS: ARRIVE 条目核对

assess

pk_pd_assess

PK/PD assessment / PK/PD 评估 | USE WHEN: pharmacokinetic/pharmacodynamic assessment and dose projection | ALIASES: PK/PD评估, 药代药效, 剂量推算, pkpd assess, 暴露量 | RETURNS: PK/PD 评估结果

atac

atac_diff

ATAC-seq differential accessibility / ATAC 差异可及性 | USE WHEN: differential open regions from ATAC-seq counts | ALIASES: ATAC, 差异可及性, 染色质开放, differential accessibility, peak差异 | RETURNS: 差异 peak

bioequivalence

bioequivalence_compare

Bioequivalence (BE) / 生物等效性评价 | USE WHEN: compare test vs reference AUC/Cmax and judge 80-125% bioequivalence with 90% CI | ALIASES: 生物等效性, BE, AUC Cmax, 90%CI, 等效性判定, bioequivalence | RETURNS: 90%CI 与等效性判定

calibration

calibration_curve

Calibration curve (prediction model) / 校准曲线 | USE WHEN: assess calibration of a risk model and get the curve plus Brier score | ALIASES: 校准曲线, 校准度, Brier, calibration, 预测模型校准, 可靠性曲线 | RETURNS: 校准曲线与 Brier 分数

cell

cell_assay_calc

Cell assay calculator / 细胞实验通用计算 | USE WHEN: CCK8 / wound healing / Transwell / colony formation calculations (pick tool_id: cck8, wound-healing, transwell, colony) | ALIASES: CCK8, 划痕实验, Transwell, 克隆形成, 细胞增殖, 迁移实验, cell viability, wound healing | RETURNS: 计算结果

chip

chip_peak_calling

ChIP-seq peak calling / ChIP-seq Peak calling | USE WHEN: call peaks from ChIP-seq reads | ALIASES: ChIP-seq, peak calling, 峰识别, 转录因子结合, ChIP | RETURNS: peak 清单

classification

classification_metrics

Classification metrics / 分类性能报告 | USE WHEN: full diagnostic performance set: accuracy, sensitivity, specificity, PPV, NPV, F1 | ALIASES: 分类性能, 准确率, 敏感度, 特异度, PPV, NPV, confusion matrix, 诊断指标 | RETURNS: 分类指标全套

clinical

clinical_basic_bridge

Clinical ↔ basic translation bridge / 临床↔基础转化配对 | USE WHEN: from a clinical finding propose mechanistic hypotheses and experiments (or the reverse) | ALIASES: 转化研究, 临床到基础, 机制假说, bench to bedside, Bridge, 实验方案建议 | RETURNS: 转化研究假说与实验方案

cloning

cloning_design

Molecular cloning design / 克隆方案设计 | USE WHEN: design a plasmid construct: homology arms, primers, assembly strategy | ALIASES: 分子克隆, 构建质粒, 同源臂, cloning, Gibson, 酶切连接, 引物设计克隆 | RETURNS: 克隆方案与引物

consort

consort_flowchart

CONSORT flow diagram / CONSORT 流程图 | USE WHEN: draw a CONSORT participant flow diagram from screening/randomization/loss counts | ALIASES: CONSORT流程图, 流程图, 入组流程, flow diagram, 筛选失访 | RETURNS: CONSORT 流程图

cover

cover_letter

Cover letter / 投稿信 Cover Letter | USE WHEN: the user wants a cover letter to the journal editor | ALIASES: 投稿信, cover letter, 给编辑的信, 投稿说明 | RETURNS: 投稿信正文

crf

crf_sdtm_validate

CRF / SDTM validation / CRF 数据校验（SDTM） | USE WHEN: check whether CRF data meets CDISC SDTM conventions before export | ALIASES: CRF校验, SDTM, CDISC, 数据合规, 导出前检查, CRF validate, data standards | RETURNS: 校验结果

dataframe

dataframe_parse

Parse pasted data / infer column types / 数据解析与列类型识别 | USE WHEN: the user pasted a CSV/table blob: get shape, column types, missingness before analysis | ALIASES: 解析数据, 列类型, 粘贴表格, CSV解析, parse data, column types, 数据形状 | RETURNS: 行列数、列类型、缺失情况

decision

decision_arbitration

Multi-option decision arbitration / 决策引擎裁决 | USE WHEN: the user must choose between several options or pipelines and wants a quantified ruling | ALIASES: 裁决, 取舍, 决策引擎, 多方案比较, arbitration, which option is better | RETURNS: 裁决结果与理由

deep

deep_peer_review

Deep peer review (six dimensions) / 深度审稿（六维） | USE WHEN: the user wants reviewer-grade deep comments, as if reviewed by a strict peer reviewer | ALIASES: 深度审稿, 模拟审稿人, 严格审稿, deep review, reviewer comments | RETURNS: 深度审稿报告

delong

delong_auc_compare

DeLong test (compare two AUCs) / 两条 ROC 的 AUC 比较（DeLong） | USE WHEN: compare two ROC AUCs from the same subjects and test whether the difference is significant | ALIASES: DeLong, 两个AUC比较, 哪个指标更好, AUC差异, compare AUC, 曲线下面积比较 | RETURNS: 两 AUC 及差值 P 值

differential

differential_expression

Differential expression (limma-style) / 差异表达分析 | USE WHEN: differential genes from an expression matrix (with volcano plot input) | ALIASES: 差异表达, 差异基因, DEG, differential expression, 火山图, 表达矩阵, limma | RETURNS: 差异基因清单

dna

dna_translate

DNA → protein translation / 序列翻译 | USE WHEN: translate a nucleotide sequence into amino acids in all three frames | ALIASES: 序列翻译, 核酸转蛋白, 翻译, translate, DNA to protein, 氨基酸序列, ORF翻译 | RETURNS: 氨基酸序列

drug

drug_interaction_check

Drug-drug interaction check / 药物相互作用检查 | USE WHEN: can these two drugs be used together? interaction severity and mechanism | ALIASES: 药物相互作用, 能不能一起用, 配伍禁忌, DDI, drug interaction, 相互作用 | RETURNS: 相互作用等级与机制

dunn

dunn_posthoc

Dunn post-hoc test / 多组非参数两两比较（Dunn） | USE WHEN: pairwise comparisons after Kruskal-Wallis (nonparametric, multiple groups) | ALIASES: Dunn, 非参数两两比较, Kruskal-Wallis后续, post hoc, 多重比较 | RETURNS: 两两比较 P 值

egger

egger_bias_test

Egger's test (publication bias) / Meta 发表偏倚（Egger） | USE WHEN: test publication bias in a meta-analysis and get funnel-plot inputs | ALIASES: Egger, 发表偏倚, 漏斗图, publication bias, meta回归, funnel plot | RETURNS: Egger 检验 P 与截距

experiment

experiment_plan_generate

Bench experiment plan / 实验方案生成 | USE WHEN: the user needs an animal or cell experiment plan (basic research) | ALIASES: 实验方案, 动物实验, 细胞实验, 基础实验设计, experiment plan, bench work plan | RETURNS: 实验方案

fibrosis

fibrosis_staging

Liver fibrosis staging / 纤维化分期 | USE WHEN: map fibrosis scores to Ishak / METAVIR stage | ALIASES: 纤维化分期, Ishak, METAVIR, 肝纤维化, fibrosis stage, 病理分期 | RETURNS: 分期结论与解读

figure

figure_legend

Figure legend writer / 图注生成 | USE WHEN: write a figure legend for a given chart type | ALIASES: 图注, Figure legend, 图片说明, 图例, 写图注 | RETURNS: 图注文本

forest

forest_plot

Forest plot / 森林图 | USE WHEN: forest plot from HR/OR/RR with confidence intervals | ALIASES: 森林图, forest plot, HR OR RR, 置信区间图, meta森林图 | RETURNS: 森林图（矢量）

geo

geo_dataset_pipeline

GEO dataset pipeline / GEO 数据全流程 | USE WHEN: end-to-end on a GEO accession: DEG → enrichment → immune infiltration | ALIASES: GEO, GSE, 数据集分析, GEO编号, geo dataset, public data reanalysis | RETURNS: 差异基因、富集结果

gleason

gleason_grade_group

Gleason grade group / Gleason 分级分组 | USE WHEN: Gleason score → Grade Group and risk stratum (prostate cancer) | ALIASES: Gleason, 前列腺癌分级, Grade Group, 格里森评分, 前列腺病理 | RETURNS: Grade Group 与风险分层

ic50

ic50_fit

IC50 curve fitting / IC50 曲线拟合 | USE WHEN: fit a dose-response curve and report IC50 with 95% CI | ALIASES: IC50, 半数抑制浓度, 剂量效应曲线, dose response, 抑制率拟合, GI50 | RETURNS: IC50 值与 95%CI

idea

idea_ignite

Idea ignition / 想法点燃 | USE WHEN: the user gives one vague word or a hunch and wants it expanded into researchable directions | ALIASES: 想法, 一个词, 不知道研究啥, 灵感, 发散一下, idea, hunch, expand this idea | RETURNS: 扩展研究方向

ihc

ihc_hscore

IHC scoring (H-score / Allred) / IHC 免疫组化评分 | USE WHEN: immunohistochemistry scoring from staining intensity percentages (H-score, Allred, positive rate) | ALIASES: 免疫组化评分, H-score, Allred, IHC, 阳性率, 染色评分, ER PR HER2 | RETURNS: H-score / Allred / 阳性率

iptw

iptw_weighting

IPTW inverse probability weighting / IPTW 逆概率加权 | USE WHEN: propensity-score weighting (ATE/ATT) for observational comparisons | ALIASES: IPTW, 逆概率加权, 倾向评分加权, propensity weighting, 加权后效应, ATE | RETURNS: 权重与加权后效应

journal

journal_recommend

Journal recommendation / 智能选刊 V3 | USE WHEN: recommend target journals from title/abstract, in reach / match / safe tiers | ALIASES: 选刊, 投哪个期刊, 期刊推荐, journal, submission target, 冲稳保, 投稿建议 | RETURNS: 候选期刊与三档策略

kaplan

kaplan_meier

Kaplan-Meier curve / Kaplan-Meier 曲线 | USE WHEN: KM curve and median survival only (no multivariable model) | ALIASES: KM曲线, Kaplan-Meier, 中位生存, 生存曲线, 生存率, log-rank | RETURNS: KM 曲线与中位生存

kegg

go_kegg_enrichment

GO / KEGG enrichment / 通路富集（GO/KEGG） | USE WHEN: pathway enrichment for a gene list (GO biological process, KEGG) | ALIASES: 富集分析, GO, KEGG, 通路富集, enrichment, 通路, 功能注释 | RETURNS: 富集通路与 P 值

linear

linear_mixed_model

Linear mixed model (repeated measures) / 线性混合模型（纵向/重复测量，公式模式） | USE WHEN: same subject measured repeatedly (pre/post, multiple follow-ups): compare trajectories over time, group×time interaction; modern replacement for repeated-measures ANOVA (handles missing, no sphericity assumption) | ALIASES: 混合模型, 重复测量, 纵向数据, LMM, mixed model, 交互作用, 多次随访, 每人测多次, repeated measures | RETURNS: 固定效应系数/SE/Wald z/P/95%CI（按真实变量名，不是 X1/X2）、各项整体检验 omnibus、交互项检验、primary_test、ICC、方差成分、n_subjects/n_obs、组间例数、缺失与收敛告警

local

local_literature_compare

Local literature comparison / 本地文献对比 | USE WHEN: the user gives a topic and wants a cross-comparison table of the in-house literature | ALIASES: 本地文献对比, 横向对比, 文献对比表, local literature compare | RETURNS: 对比表

mermaid

mermaid_diagram

Mermaid diagram generation / 生成流程图（Mermaid） | USE WHEN: the user wants a flow chart, sequence diagram or mind map expressed as Mermaid code | ALIASES: 流程图, Mermaid, 时序图, 思维导图, 画流程, diagram, flowchart | RETURNS: Mermaid 代码

mif

mif_phenotype

Multiplex IF phenotyping / 多重免疫荧光表型 | USE WHEN: assign cell phenotypes and proportions from multiplex immunofluorescence markers | ALIASES: 多重免疫荧光, mIF, 细胞表型, phenotype, marker组合, 亚群比例 | RETURNS: 细胞亚群表型与比例

multi

multi_omics_integrate

Multi-omics integration / 多组学整合 | USE WHEN: integrate mRNA / protein / metabolite layers and find cross-layer associations | ALIASES: 多组学, 整合分析, multi-omics, 转录组蛋白组代谢组, cross-omics | RETURNS: 多组学关联结果

nca

pk_nca

Non-compartmental PK (NCA) / NCA 非房室药代分析 | USE WHEN: non-compartmental analysis of concentration-time data: AUC, Cmax, Tmax, t1/2, CL, Vd | ALIASES: NCA, 非房室分析, 药代参数, AUC Cmax T1/2, PK parameters, 血药浓度 | RETURNS: AUC/Cmax/Tmax/T1/2/CL/Vd

nomogram

nomogram

Nomogram / 列线图 Nomogram | USE WHEN: turn a logistic or Cox model into a nomogram figure for clinical use | ALIASES: 列线图, Nomogram, 评分图, nomogram, 风险评分图 | RETURNS: 列线图 SVG

nsfc

nsfc_grant_analysis

NSFC grant fit analysis / 国自然申报分析 | USE WHEN: the user asks whether a topic fits NSFC / provincial funding, which category, and the odds | ALIASES: 国自然, NSFC, 基金申报, 省自然, 命中率, 报什么口子, grant fit | RETURNS: 国自然分析

nuclei

nuclei_count

Nuclei segmentation & counting / 细胞核分割与计数 | USE WHEN: cell density / positive rate from a tissue section (nuclei segmentation) | ALIASES: 细胞核分割, 细胞计数, 密度, nuclei count, segmentation, 阳性细胞率 | RETURNS: 分割统计结果

orf

orf_find

ORF prediction / ORF 预测 | USE WHEN: find open reading frames in a nucleotide sequence | ALIASES: ORF, 开放阅读框, 找编码区, open reading frame, 翻译起始 | RETURNS: ORF 列表与位置

organ

organ_coefficient

Organ coefficient / 脏器系数 | USE WHEN: organ weight / body weight ratio (脏器系数) | ALIASES: 脏器系数, 器官系数, organ coefficient, organ index, 脏器重量比 | RETURNS: 脏器系数

pcr

pcr_primer_design

PCR primer design / PCR 引物设计 | USE WHEN: design PCR primer pairs from a DNA sequence or gene (Tm, GC, product size) | ALIASES: 引物设计, PCR引物, primer, 设计引物, 扩增引物, primer pair | RETURNS: 候选引物对与 Tm/GC

pdf

pdf_text_pico

PICO from pasted text / 从文本抽取 PICO | USE WHEN: the user pastes an abstract or paragraph and wants PICO extracted from it | ALIASES: 抽取PICO, 从摘要提PICO, 文献PICO, extract pico from text | RETURNS: 结构化 PICO

permutation

permutation_test

Permutation test / 置换检验 | USE WHEN: exact/permutation test when t-test assumptions fail or n is tiny | ALIASES: 置换检验, 随机化检验, permutation, 精确检验, 小样本非参数, resampling | RETURNS: 置换 P 值

pkpd

pkpd_simulate

PK/PD simulation / PK/PD 模拟 | USE WHEN: simulate concentration-effect time course for a dosing regimen | ALIASES: PK/PD模拟, 给药方案模拟, 浓度时间曲线, simulation, 剂量方案 | RETURNS: 模拟曲线与参数

plasmid

plasmid_map

Plasmid map / 质粒图谱 | USE WHEN: draw/describe a plasmid map from a sequence (features, orientation) | ALIASES: 质粒图谱, 载体结构, plasmid map, vector, 质粒构建图 | RETURNS: 质粒图谱

ppi

ppi_network

Protein-protein interaction network / 蛋白互作网络 | USE WHEN: PPI network from a protein list, hub identification (STRING) | ALIASES: 蛋白互作, PPI, STRING, hub基因, 互作网络, network | RETURNS: 互作网络与 hub 蛋白

pre

pre_submission_review

Pre-submission review / 投稿前预审 | USE WHEN: the user wants a pre-submission check to find likely rejection points | ALIASES: 投稿前预审, 会被拒吗, 投稿检查, pre review, desk reject risk | RETURNS: 预审意见

primer

primer_tm

Primer Tm & dimers / 引物 Tm 计算 | USE WHEN: Tm, GC% and self/cross dimer check for given primer sequences | ALIASES: Tm, 引物Tm, 退火温度, GC含量, 二聚体, primer dimer, melting temperature | RETURNS: Tm、GC、二聚体

prisma

prisma_flowchart

PRISMA flow diagram / PRISMA 流程图 | USE WHEN: PRISMA literature screening flow for systematic reviews / meta-analyses | ALIASES: PRISMA, 文献筛选流程, 系统评价流程图, flow diagram, 检索流程图 | RETURNS: PRISMA 流程图

propensity

propensity_score_matching

Propensity score matching (PSM) / 倾向性评分匹配 PSM | USE WHEN: match treated and control subjects on baseline covariates (1:1 nearest neighbour within caliper), then report SMD balance | ALIASES: PSM, 倾向性评分, 倾向评分匹配, propensity score, 1:1匹配, 基线可比, 混杂控制, 匹配后均衡 | RETURNS: 匹配后样本与均衡性

proposal

proposal_review

Proposal / grant review / 标书评审 | USE WHEN: the user pastes a proposal or protocol and wants scoring, weaknesses and revision advice | ALIASES: 标书评审, 方案打分, 本子, 评审意见, proposal review, grant review, 专家怎么挑毛病 | RETURNS: 五维评分与修改建议

psi

psi_stability

PSI model stability / 模型稳定性 PSI | USE WHEN: population stability index between expected and observed score distributions | ALIASES: PSI, 模型稳定性, 群体稳定性, population stability, 漂移 | RETURNS: PSI 值与稳定性判断

pubmed

pubmed_search

PubMed search / PubMed 检索 | USE WHEN: search PubMed for the latest literature (live NCBI E-utilities) | ALIASES: PubMed, 查pubmed, 最新文献, pubmed检索, NCBI, 最新研究 | RETURNS: PubMed 文献列表

randomization

randomization_allocate

Randomization / allocation / 随机化分组 | USE WHEN: produce a reproducible randomization list: simple, block, stratified, or minimization, with a fixed seed | ALIASES: 随机分组, 随机数字表, 区组随机, 分层随机, 最小化法, randomization, random allocation, 分组名单, seed | RETURNS: 分组结果表

renal

renal_dose_adjust

Renal function & dose adjustment / 肾功能剂量调整 | USE WHEN: the user gives age / sex / weight / serum creatinine and asks for creatinine clearance, eGFR, CKD stage, or how to adjust a drug dose in renal impairment (vancomycin, meropenem, metformin, anticoagulants…) | ALIASES: 肾功能剂量, 肌酐清除率, CrCl, eGFR, 肾小球滤过率, 减量, 剂量调整, 肾功能不全, 万古霉素怎么减量, 按肌酐算剂量 | RETURNS: CrCl（Cockcroft-Gault）+ eGFR（CKD-EPI 2021）+ CKD 分期 + 该药的肾剂量分档（含依据与核对提示）

reporting

reporting_checklist

Reporting guideline checklist / 报告规范清单核对 | USE WHEN: check a manuscript against CONSORT / STROBE / PRISMA / TRIPOD / ARRIVE / STARD | ALIASES: 报告规范, CONSORT, STROBE, PRISMA, TRIPOD, STARD, checklist, 投稿前检查, 规范核对 | RETURNS: 逐条核对结果

restriction

restriction_sites

Restriction sites / 酶切位点分析 | USE WHEN: find restriction enzyme sites in a DNA sequence (can it be cut, which enzyme) | ALIASES: 酶切位点, 限制性内切酶, restriction enzyme, 能不能切开, cloning sites | RETURNS: 酶切位点清单

results

results_paragraph_writer

Results paragraph writer / 结果段落生成 | USE WHEN: the user has statistical results and wants them written into a results paragraph | ALIASES: 结果段落, 写结果, 结果描述, results paragraph, write up the results | RETURNS: 结果段落

revision

revision_response

Response-to-reviewers drafting / 审稿意见回复追踪 | USE WHEN: the user has reviewer comments and needs point-by-point replies | ALIASES: 审稿意见回复, 逐条回复, 返修, revision, response to reviewers, reply to reviewer | RETURNS: 逐条回复草稿

risk

risk_ratio_or

Risk ratio / odds ratio / 相对危险度 RR | USE WHEN: RR, OR and 95% CI from a 2×2 table of counts | ALIASES: 相对危险度, RR, OR, 比值比, 四格表, risk ratio, odds ratio, 95%CI | RETURNS: RR、OR、95%CI

rnaseq

rnaseq_deg

RNA-seq differential analysis / RNA-seq 差异分析 | USE WHEN: differential genes from RNA-seq count matrix (negative binomial) | ALIASES: RNA-seq, 转录组差异, 差异基因, DESeq, count matrix, RNA测序 | RETURNS: 差异基因清单

roc

roc_auc

ROC curve & AUC / ROC 曲线与 AUC | USE WHEN: the user has a binary gold standard and predicted scores/probabilities and wants AUC, ROC curve, discrimination, or the best cut-off | ALIASES: ROC, AUC, 曲线下面积, 诊断效能, 最佳阈值, cutoff, discrimination, 敏感度特异度, ROC曲线 | RETURNS: AUC、最优阈值、敏感度特异度

sample

sample_size_calculator

Sample size & power / 样本量计算（设计口径） | USE WHEN: calculate how many subjects are needed (two means / two proportions / correlation / survival), or solve for power | ALIASES: 样本量, 要做多少例, 需要多少病人, sample size, power calculation, 把握度, 最少例数, n per group | RETURNS: 每组例数与合计

sas

sas_r_code

Reproducible SAS/R/Python code / 生成可复现 SAS/R 代码 | USE WHEN: generate the SAS / R / Python code that reproduces a given analysis | ALIASES: SAS代码, R代码, 复现代码, reproducible code, Python代码, 统计代码 | RETURNS: 推荐统计方法与代码

section

section_writer

Single-section writer / 写单个章节 | USE WHEN: the user wants only one section written (abstract / methods / discussion / introduction) | ALIASES: 写方法, 写讨论, 写摘要, 写引言, 单章, section, write one chapter | RETURNS: 该章节正文

shap

shap_explain

SHAP single-case explanation / SHAP 单样本解释 | USE WHEN: explain why one patient was predicted high risk (feature contributions) | ALIASES: SHAP, 解释预测, 为什么高风险, 特征贡献, explain prediction, 可解释性 | RETURNS: SHAP 贡献图

smd

smd_balance

SMD balance check / SMD 均衡性检查 | USE WHEN: standardized mean differences before/after PSM or IPTW (covariate balance) | ALIASES: SMD, 标准化均数差, 均衡性, balance, 匹配后均衡, 协变量平衡, love plot | RETURNS: 各协变量 SMD 与均衡判断

species

species_dose_convert

Species dose conversion / 种属剂量换算 | USE WHEN: convert an animal dose to a human equivalent dose (mg/kg ↔ mg/m², FDA guidance) | ALIASES: 种属换算, 动物剂量换人, 剂量换算, species conversion, HED, mg/m2, 体表面积法 | RETURNS: 换算后剂量与依据

stats

stats_toolbox

Statistics toolbox (97 tests) / 统计中心（97 个统计工具统一入口） | USE WHEN: any statistical test not covered by a dedicated tool: Kappa, ICC, Bland-Altman, VIF, PCA, cluster, Friedman, McNemar, runs test, sign test, trend chi-square, meta-analysis pieces — pass tool_id | ALIASES: 统计检验, Kappa, ICC, Bland-Altman, VIF, PCA, 聚类, Friedman, McNemar, 游程 | RETURNS: 该统计工具的完整结果（含统计量、P 值、95%CI、解读）

study

study_design_advisor

Study design advisor / 研究设计向导 | USE WHEN: the user has a research question but does not know which study design to use (RCT / cohort / case-control / cross-sectional / diagnostic accuracy) | ALIASES: 研究设计选哪个, 设计向导, 用什么研究设计, study design, which design, 研究类型, 队列还是病例对照 | RETURNS: 推荐研究设计与理由

survival

survival_cox

Survival analysis (KM + Cox) / 生存分析（KM/Cox 全流程） | USE WHEN: follow-up time and event data: survival curves, median survival, hazard ratios, log-rank, multivariable Cox | ALIASES: 生存分析, Cox回归, HR, 风险比, log-rank, 中位生存, 随访, 生存率, hazard ratio | RETURNS: 生存曲线、中位生存、HR、log-rank P

systematic

systematic_review_assist

Systematic review assist / 系统评价辅助 | USE WHEN: the user needs screening and extraction support for a systematic review / meta-analysis | ALIASES: 系统评价, Meta筛选, 系统综述, systematic review, 文献筛选提取 | RETURNS: 系统评价框架

technical

technical_roadmap

Technical roadmap (SVG) / 研究技术路线图 | USE WHEN: the user wants a technical route / workflow diagram for a grant or protocol | ALIASES: 技术路线图, 路线图, 流程图, 研究路线, roadmap, technical route | RETURNS: SVG 路线图

text

text_overlap_check

Text overlap self-check / 文字重合度自查 | USE WHEN: compare a passage with the user's own previous papers (self-plagiarism check) | ALIASES: 查重, 文字重合度, 重复率, overlap, self plagiarism, 相似文献 | RETURNS: 重合度与相似文献

top

top_journal_mining

Top-journal topic mining / 顶刊挖掘 | USE WHEN: the user asks what top journals in a field are publishing and how to align the topic with them | ALIASES: 顶刊, 大刊在发什么, 对标顶刊, top journal, what are top journals publishing | RETURNS: 目标期刊与选题倾向

toxicity

toxicity_predict

Toxicity prediction (hERG / DILI) / 毒性预测（hERG/DILI） | USE WHEN: cardiac (hERG) and liver (DILI) toxicity risk from a SMILES string | ALIASES: 毒性预测, hERG, DILI, 心脏毒性, 肝毒性, toxicity, SMILES | RETURNS: 毒性风险分级

toxicology

toxicology_assess

Toxicology assessment / 毒理评估 | USE WHEN: nonclinical toxicology risk: hERG / DILI / genotoxicity, overall risk level | ALIASES: 毒理评估, 毒性风险, 遗传毒, toxicology, nonclinical safety, 安全评价 | RETURNS: 毒性风险分级

tukey

tukey_hsd

Tukey HSD post-hoc / 多组两两比较（Tukey HSD） | USE WHEN: pairwise comparisons after one-way ANOVA with family-wise error control | ALIASES: Tukey, HSD, ANOVA后续, 两两比较, post hoc, 多重比较 | RETURNS: 两两比较 P 值

two

two_way_anova

Two-way ANOVA / 双因素方差分析 | USE WHEN: two factors: main effects and interaction | ALIASES: 双因素方差分析, two-way ANOVA, 交互作用, 主效应, 两个因素 | RETURNS: 主效应与交互

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

act_animal_arrive_check

removed 7 Nov 2026

act_animal_dosing

removed 7 Nov 2026

act_animal_organ_coef

removed 7 Nov 2026

act_animal_randomize

removed 7 Nov 2026

act_animal_sample_size

removed 7 Nov 2026

act_animal_survival

removed 7 Nov 2026

act_animal_tgi

removed 7 Nov 2026

act_animal_tumor_volume

removed 7 Nov 2026

act_atac_diff

removed 7 Nov 2026

act_bayesian_design

removed 7 Nov 2026

act_be_compare

removed 7 Nov 2026

act_bridge_convert

removed 7 Nov 2026

act_calibration

removed 7 Nov 2026

act_cell_tool

removed 7 Nov 2026

act_checklist_check

removed 7 Nov 2026

act_chip_peak

removed 7 Nov 2026

act_citation_format

removed 7 Nov 2026

act_classification_report

removed 7 Nov 2026

act_cloning_design

removed 7 Nov 2026

act_consort_flow

removed 7 Nov 2026

act_crf_validate

removed 7 Nov 2026

act_data_quick_stats

removed 7 Nov 2026

act_ddi_check

removed 7 Nov 2026

act_decision_followup

removed 7 Nov 2026

act_decision_intake

removed 7 Nov 2026

act_decision_report

removed 7 Nov 2026

act_deg_analyze

removed 7 Nov 2026

act_delong

removed 7 Nov 2026

act_design_context

removed 7 Nov 2026

act_design_gate_rules

removed 7 Nov 2026

act_design_guide

removed 7 Nov 2026

act_design_sample_size

removed 7 Nov 2026

act_dose_convert_pharm

removed 7 Nov 2026

act_dunn

removed 7 Nov 2026

act_enrich

removed 7 Nov 2026

act_fcs_cluster

removed 7 Nov 2026

act_fcs_gate

removed 7 Nov 2026

act_fibrosis_stage

removed 7 Nov 2026

act_figure_legend

removed 7 Nov 2026

act_file_columns

removed 7 Nov 2026

act_forest_chart

removed 7 Nov 2026

act_gene_pathway

removed 7 Nov 2026

act_gene_search

removed 7 Nov 2026

act_geo_pipeline

removed 7 Nov 2026

act_gleason

removed 7 Nov 2026

act_ic50_fit

removed 7 Nov 2026

act_ihc_score

removed 7 Nov 2026

act_iptw

removed 7 Nov 2026

act_journal_recommend_v3

removed 7 Nov 2026

act_km_curve

removed 7 Nov 2026

act_literature_overlap

removed 7 Nov 2026

act_lit_search

removed 7 Nov 2026

act_lit_verify_citations

removed 7 Nov 2026

act_lmm_formula

removed 7 Nov 2026

act_metabo_enrichment

removed 7 Nov 2026

act_metabo_heatmap

removed 7 Nov 2026

act_metabo_pca

removed 7 Nov 2026

act_metabo_plsda

removed 7 Nov 2026

act_metabo_volcano

removed 7 Nov 2026

act_meta_egger

removed 7 Nov 2026

act_mif_phenotype

removed 7 Nov 2026

act_ml_nomogram

removed 7 Nov 2026

act_ml_parse

removed 7 Nov 2026

act_ml_psi

removed 7 Nov 2026

act_ml_shap

removed 7 Nov 2026

act_nca_analyze

removed 7 Nov 2026

act_nuclei_segment

removed 7 Nov 2026

act_omics_integrate

removed 7 Nov 2026

act_permutation_test

removed 7 Nov 2026

act_pico_refine

removed 7 Nov 2026

act_pkpd_eval

removed 7 Nov 2026

act_pkpd_simulate

removed 7 Nov 2026

act_ppi_network

removed 7 Nov 2026

act_primer_design

removed 7 Nov 2026

act_primer_tm

removed 7 Nov 2026

act_prisma_flow

removed 7 Nov 2026

act_protein_digest

removed 7 Nov 2026

act_protein_enrichment

removed 7 Nov 2026

act_protein_physchem

removed 7 Nov 2026

act_protein_ptm

removed 7 Nov 2026

act_psm_match

removed 7 Nov 2026

act_pubmed_search

removed 7 Nov 2026

act_qpcr_ddct

removed 7 Nov 2026

act_randomize

removed 7 Nov 2026

act_risk_ratio

removed 7 Nov 2026

act_rnaseq_deg

removed 7 Nov 2026

act_roc

removed 7 Nov 2026

act_sas_r_code

removed 7 Nov 2026

act_scrna_analyze

removed 7 Nov 2026

act_scrna_celltype

removed 7 Nov 2026

act_scrna_markers

removed 7 Nov 2026

act_sequence_enzyme

removed 7 Nov 2026

act_sequence_orf

removed 7 Nov 2026

act_sequence_plasmid

removed 7 Nov 2026

act_sequence_translate

removed 7 Nov 2026

act_smd_balance

removed 7 Nov 2026

act_stat_center

removed 7 Nov 2026

act_survival_analyze

removed 7 Nov 2026

act_table_one

removed 7 Nov 2026

act_table_one_subgroup

removed 7 Nov 2026

act_tme_analyze

removed 7 Nov 2026

act_tox_eval

removed 7 Nov 2026

act_tox_predict

removed 7 Nov 2026

act_tukey_hsd

removed 7 Nov 2026

act_two_way_anova

removed 7 Nov 2026

act_cover_letter

removed 8 Nov 2026

act_decision_arbitration

removed 8 Nov 2026

act_deep_review

removed 8 Nov 2026

act_design_decision

removed 8 Nov 2026

act_design_export

removed 8 Nov 2026

act_design_export_check

removed 8 Nov 2026

act_design_generate

removed 8 Nov 2026

act_design_next_step

removed 8 Nov 2026

act_design_pico_refine

removed 8 Nov 2026

act_experiment_plan

removed 8 Nov 2026

act_idea_ignite

removed 8 Nov 2026

act_lit_digest

removed 8 Nov 2026

act_literature_compare

removed 8 Nov 2026

act_lit_systematic_review

removed 8 Nov 2026

act_material_mermaid

removed 8 Nov 2026

act_nsfc_analysis

removed 8 Nov 2026

act_paper_review

removed 8 Nov 2026

act_pdf_local_compare

removed 8 Nov 2026

act_pdf_pico

removed 8 Nov 2026

act_pdf_review_outline

removed 8 Nov 2026

act_polish

removed 8 Nov 2026

act_predict_success

removed 8 Nov 2026

act_pre_review

removed 8 Nov 2026

act_proposal_review

removed 8 Nov 2026

act_results_paragraph

removed 8 Nov 2026

act_revision_track

removed 8 Nov 2026

act_roadmap

removed 8 Nov 2026

act_topic_feasibility

removed 8 Nov 2026

act_topic_gaps

removed 8 Nov 2026

act_topic_generate

removed 8 Nov 2026

act_topic_lit_review

removed 8 Nov 2026

act_topic_novelty

removed 8 Nov 2026

act_topic_ppt

removed 8 Nov 2026

act_topic_prominence

removed 8 Nov 2026

act_topic_research_plan

removed 8 Nov 2026

act_top_journal_mining

removed 8 Nov 2026

act_write_chapter

removed 8 Nov 2026

act_writing_one_click

removed 8 Nov 2026

act_writing_outline

removed 8 Nov 2026

Endpoints

URL	Transport	State	Latency	Checked
https://sanyu.wentangkeji.com/api/mcp	streamable-http	answering	3193 ms	10 min ago

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SanYu Research Engine — questions

Answers built from our own checks of this server.

What can SanYu Research Engine do?

It exposes 147 tools, read directly from the server on our last check. Among them: academic_polish, acceptance_probability, animal_dose_volume, animal_randomization, animal_sample_size, animal_survival_km and 141 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is SanYu Research Engine mostly used for?

Its tools cluster around topic, metabolite and design. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is SanYu Research Engine working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 86 of 91 checks got a reply (94.5%), average response time 1474 ms. The bar chart above shows every period we have measured.

Did SanYu Research Engine ever remove tools?

Yes. act_animal_arrive_check, act_animal_dosing, act_animal_organ_coef, act_animal_randomize and 140 more are no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.

How do I connect SanYu Research Engine?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does SanYu Research Engine need an API key?

No. SanYu Research Engine completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 147 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is SanYu Research Engine?

It answers our handshake in 1474 ms on average, which is faster than 1% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is SanYu Research Engine open source?

The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at sanyu.wentangkeji.com, which runs on its operator's own terms.