stagenth · 数据工具箱 MCP Server

by stagenth Your server? Claim it

not responding

stagenth · 数据工具箱 is listed as active in the registry but did not answer our last check. It exposes 6 tools.

Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.

Uptime history 91 days of history · worst day 0%

91 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

586 ms

Response time

average over 24h

open, no key

Access

streamable-http

stagenth · 数据工具箱 does not always answer

Over the last week it answered 0.0% 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 data-kit --transport http https://stagenth.com/mcp/data-kit/

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

https://stagenth.com/mcp/data-kit/

~/.codex/config.toml

[mcp_servers.data-kit]
url = "https://stagenth.com/mcp/data-kit/"

.cursor/mcp.json

{
  "mcpServers": {
    "data-kit": {
      "url": "https://stagenth.com/mcp/data-kit/"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "data-kit": {
      "type": "http",
      "url": "https://stagenth.com/mcp/data-kit/"
    }
  }
}

Available tools 6

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

data

data_clean

一步清洗脏数据：去重 / 去空白 / 删全空行列，产物落文件中转站并返清洗统计（1 credit/次）。

data_convert

把数据文件转成另一种格式（csv/json/ndjson/parquet/xlsx），产物存文件中转站返下载 URL（1 credit/次）。典型：把大 CSV 转 parquet 便于后续分析、或把 JSON 日志转 xlsx 给人看。失败自动退款。

data_inspect

查看数据文件结构：列名/类型/行数/每列非空数 + 前 N 行预览。免费(0 credit)。支持 CSV/TSV/JSON/NDJSON/Parquet。取数(data_query)前先调它看清有哪些列、哪些是数值。

data_join

两份数据文件按共同列连接（如订单表×客户表），返回实际数据行 JSON（1 credit/次）。跨文件对齐是单文件 data_query 做不到的；DuckDB 引擎、锁死文件/网络访问。失败自动退款。

data_profile

数据画像：每列类型/去重近似数/空值率 + 数值列 min/max/avg/std/分位数（1 credit/次）。相当于 pandas df.describe()——AI 拿它一眼看清整份数据的分布与质量。失败自动退款。返回 {ok, format, n_rows, n_cols, profile[]}。

data_query

查询 / 过滤 / 分组聚合数据文件，返回**实际数据行（JSON）**供 AI 直接分析（1 credit/次）。支持 CSV/TSV/JSON/NDJSON/Parquet，两种用法： · 原始 SQL（表名固定 t）：sql="SELECT 商品, sum(销量) s FROM t GROUP BY 商品 ORDER BY s DESC LIMIT 5" · 结构化（不用写 SQL）：group_by=["地区"], measures=["销售额"], agg="sum", sort_by="销售额", descending=true, limit=10 SQL 仅允许单条只读 SELECT/WITH，禁止读文件/建表/联网。结果硬上限 1000 行，超出置 truncated=True。失败自动退款。返回 {ok, format, mode, columns, total_rows, returned_rows, truncated, rows[]}。

Endpoints

URL	Transport	State	Latency	Checked
https://stagenth.com/mcp/data-kit/	streamable-http	answering	586 ms	10 min ago

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stagenth · 数据工具箱 — questions

Answers built from our own checks of this server.

What can stagenth · 数据工具箱 do?

It exposes 6 tools, read directly from the server on our last check. Among them: data_clean, data_convert, data_inspect, data_join, data_profile, data_query. 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 →

Is stagenth · 数据工具箱 working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 586 ms. The bar chart above shows every period we have measured.

The registry lists stagenth · 数据工具箱 as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect stagenth · 数据工具箱?

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 stagenth · 数据工具箱 need an API key?

No. stagenth · 数据工具箱 completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.