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DataClean MCP Server

by arceedev Your server? Claim it
answering

DataClean is answering right now. Last checked 3 min ago. 592 installs a week from pypi. Last commit 7 Nov 2026.

Profile, clean and validate CSV/Excel data: schemas, dates, numbers, duplicates. Never guesses.

Installs per day peak 332 · avg 19
a month agotoday
Uptime history 23 hours of history
23 hours agonow
100.0%
Uptime 24h
83 of 83 checks
—
Tools
hidden behind auth
168 ms
Response time
average over 24h
592
Installs / week
npm and PyPI

Nothing serious here today

Today is the operative word: we check DataClean every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add dataclean-mcp --transport http https://mcp.keyflint.dev/dataclean/mcp
Settings → Connectors → Add custom connector, then paste this address
https://mcp.keyflint.dev/dataclean/mcp
~/.codex/config.toml
[mcp_servers.dataclean-mcp]
url = "https://mcp.keyflint.dev/dataclean/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "dataclean-mcp": {
      "url": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "dataclean-mcp": {
      "type": "http",
      "url": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://mcp.keyflint.dev/dataclean/mcp streamable-http sign-in 136 ms 3 min ago

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DataClean — questions

Answers built from our own checks of this server.

Why is there no tool list for DataClean?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is DataClean working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 83 of 83 checks got a reply (100.0%), average response time 168 ms. The bar chart above shows every period we have measured.
How do I connect DataClean?
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. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to DataClean?
No API key is involved. DataClean answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is DataClean?
It answers our handshake in 168 ms on average, which is faster than 80% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use DataClean?
The pypi package dataclean-mcp was installed 592 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is DataClean open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.