IT桔子 MCP Server

by lgyers Your server? Claim it

answering

IT桔子 MCP is answering right now. Last checked 6 min ago. It exposes 21 tools. Last commit 26 Oct 2026.

Hosted MCP for IT桔子 primary market company, funding, investor and sector data.

Uptime history 91 days of history · worst day 0%

91 days agonow

98.9%

Uptime 24h

90 of 91 checks

Tools

read from the server

1353 ms

Response time

average over 24h

Stars

last commit 26 Oct 2026

What changed 6

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 August 2026. No other catalogue keeps this.

12 Oct 2 tool descriptions were rewritten aggregate_funding_by_tags, search_events

12 Oct a tool changed the parameters it asks for aggregate_funding_by_tags

24 Aug 3 tools appeared analyze_closed_company_cohort, get_person_profile, search_people

IT桔子 MCP missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of 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 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add itjuzi-mcp --transport http https://mcp.itjuzi.com/mcp

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

https://mcp.itjuzi.com/mcp

~/.codex/config.toml

[mcp_servers.itjuzi-mcp]
url = "https://mcp.itjuzi.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "itjuzi-mcp": {
      "url": "https://mcp.itjuzi.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "itjuzi-mcp": {
      "type": "http",
      "url": "https://mcp.itjuzi.com/mcp"
    }
  }
}

Available tools 21

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

company

get_company_funding_events

按公司ID分页查询公司融资历史，返回轮次、金额、币种、投资方、FA和估值等信息。

get_company_profile

按公司ID查询公司画像，包括公司简称、工商全称 registered_name、行业、标签、地区、简介、最新融资和历史投资方等字段；工商名称、工商注册名称均对应 registered_name。

search_company_investment_cases

查询企业对外投资案例，按组织关系归并公司和机构投资主体；适合回答某赛道企业做过哪些对外投资，例如具身智能企业投了哪些公司；高权限套餐可查看未披露水下事件标识。

count

count_closed_companies

按行业、标签、地区、成立年份、发展阶段、公司资质、关闭日期、关闭原因或一级关闭原因统计死亡/关闭公司数量。适合回答某赛道倒闭公司有多少家、某年度关闭公司数量、某原因下关闭公司总数；不要为了计数遍历 search_closed_companies 分页。

count_companies

按公司关键词、行业、标签、中国/海外地区、成立年份、发展阶段、千里马、独角兽、公司资质等条件统计对外可见公司总数。适合回答多少家公司、总计几家、数量是多少；不要为了计数遍历 search_companies 分页。

investor

get_investor_profile

按机构ID查询投资机构画像，包括投资案例数、最近投资时间和活跃行业摘要。

search_investor_cases

按机构ID分页查询机构投资案例，可按被投公司标签、行业和轮次筛选，适合回答某机构投过哪些具身智能、机器人、AI等标签公司；高权限套餐可查看未披露水下事件标识。

person

get_person_profile

按人物ID查询人物画像，包括当前职位、当前在职公司、当前在职投资机构、教育经历、过往工作经历和公开社交账号等字段。

search_person_investment_cases

按人物ID或人物姓名分页查询人物投资案例，可按被投公司标签、行业和轮次筛选，适合回答某位投资人个人参与投资过哪些公司；高权限套餐可查看未披露水下事件标识。

aggregate

aggregate_funding_by_tags

按公司标签、时间段和地区聚合融资事件数、披露金额事件数、获投公司数和融资总额，适合回答某赛道或标签集合在全国/城市之间的融资统计和同比、环比对比；date_ranges 和 regions 可省略，默认最近30天和全国；统计默认包含未披露水下事件。

analyze

analyze_closed_company_cohort

按死亡/关闭公司筛选条件聚合分析完整融资历史，返回样本数量、融资事件数、披露融资总额、关闭前最后融资至关闭间隔、最后融资轮次分布、关闭原因分布和代表案例。适合赛道失败复盘、融资失效分析和项目反证尽调；输出历史样本参照，不预测存续公司是否关闭。

cases

search_fa_cases

查询结构化FA服务案例，返回FA机构、被服务公司、融资轮次、金额、时间和行业等信息；高权限套餐可查看未披露水下事件标识。

closed

search_closed_companies

分页查询死亡/关闭公司库。按公司关键词、行业、标签、中国/海外地区、成立年份、发展阶段、千里马、独角兽、公司资质、关闭日期、关闭原因或一级关闭原因筛选，返回公司画像、最新融资摘要、关闭日期和死亡原因。适合回答最近倒闭了哪些公司、某赛道死亡公司清单、某关闭原因下有哪些公司。如用户只问总数、多少家、数量，优先使用 count_closed_companies。

companies

search_companies

按公司关键词、行业、标签、中国/海外地区、成立年份、发展阶段、千里马、独角兽、公司资质等条件分页查询对外可见公司，适合回答有哪些公司、按名称找公司和补充项目背景；工商名称、工商注册名称、工商全称对应字段 registered_name。如用户只问总数、多少家、数量，优先使用 count_companies。

events

search_events

按时间、行业、标签、轮次等条件分页查询事件。event_type 表示物理来源：invse 融资/轮次事件、merger 并购事件；event_category 表示业务分类：investment 投资轮次、listing 上市相关、merger 并购；也可直接使用 ipo、上市、并购等常见词面，服务端会自动归一化；is_underwater 可筛选未披露水下事件，尝鲜版和标准版不可查看水下事件明细。

investors

search_investors

按机构名称关键词搜索投资机构，返回机构ID、案例数、最近投资时间和活跃行业。

lookup

get_lookup_options

查询小型字典选项，用于把自然语言条件映射为ID，例如行业、子行业、融资轮次、省份、发展阶段、机构类型、公司资质和死亡原因。不传 lookup_type 时只返回字典类型和数量摘要。标签数量较大，不要用本工具获取标签全集；赛道或标签词映射请调用 search_tags。

people

search_people

按人物姓名、人物类型、地区、当前公司、当前投资机构、教育经历或过往工作经历搜索人物画像，返回对外可见人物的当前任职、教育经历和过往工作经历等字段。

rank

rank_companies_by_funding

按公司动态汇总融资事件等值人民币金额并排序，支持公司标签、行业、地区、时间和轮次过滤；适合回答某赛道公司融资总额TOP排名，并可排除IPO上市、IPO上市后等轮次；统计默认包含未披露水下事件。

resolve

resolve_companies

批量把用户给出的公司简称或工商全称解析为 IT桔子 company_id，返回每个输入名称的候选匹配；工商名称、工商注册名称、工商全称对应字段 registered_name。适合处理用户给定的一批公司名单，例如先解析19家独角兽公司，再调用 get_company_funding_events 查询融资历史。

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.itjuzi.com/mcp	streamable-http	answering	758 ms	6 min ago

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IT桔子 MCP — questions

Answers built from our own checks of this server.

What can IT桔子 MCP do?

It exposes 21 tools, read directly from the server on our last check. Among them: aggregate_funding_by_tags, analyze_closed_company_cohort, count_closed_companies, count_companies, get_company_funding_events, get_company_profile and 15 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 IT桔子 MCP mostly used for?

Its tools cluster around company, count and person. 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 IT桔子 MCP working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 1353 ms. The bar chart above shows every period we have measured.

How do I connect IT桔子 MCP?

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 IT桔子 MCP need an API key?

No. IT桔子 MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 21 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is IT桔子 MCP?

It answers our handshake in 1353 ms on average, which is faster than 2% 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 IT桔子 MCP open source?

We cannot say either way: written in TypeScript and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.