SERVER

DataClean

Rank #36,973

io.github.ArceeDev/dataclean-mcp

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

1 version

by ArceeDev (5 servers)View repository ↗Homepage ↗

First listed

Nov 5, 2026

Last publish date

Nov 6, 2026

PURPOSE

What you can do with DataClean

DataClean is a Model Context Protocol (MCP) server published by ArceeDev. It ranks #36,973 of 173,664 active servers on MCP Toplist. DataClean is listed across 2 registries — Official MCP and Glama, with 1 tracked version. It was first listed on Nov 5, 2026 and most recently updated on Nov 6, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What DataClean can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using DataClean

DeclaredNo credentialsNo credentials declared

The registry listing declares no required environment variables or authentication. This is declared metadata, not a verified install — the repository README is the authority.

Verified by MCP Toplist on Nov 8, 2026: the public endpoint answered an unauthenticated connection with 401 Unauthorized, so it requires sign-in or an API key.

Declared by the Official MCP Registry, last synced Nov 12, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

KEYFLINT_LICENSE · required

Hosted endpoint requires authentication (it answered 401 to an unauthenticated connection).

INSTALLATION AND FIRST TASK

Connect DataClean and confirm it works

Remote · HTTP

claude mcp add --transport http dataclean-mcp https://mcp.keyflint.dev/dataclean/mcp

Python package (PyPI)

claude mcp add dataclean-mcp -e "KEYFLINT_LICENSE=<your KEYFLINT_LICENSE>" -- uvx dataclean-mcp

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.dataclean-mcp]
url = "https://mcp.keyflint.dev/dataclean/mcp"

Add to ~/.codex/config.toml.

Python package (PyPI)

[mcp_servers.dataclean-mcp]
command = "uvx"
args = ["dataclean-mcp"]

[mcp_servers.dataclean-mcp.env]
KEYFLINT_LICENSE = "<your KEYFLINT_LICENSE>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://mcp.keyflint.dev/dataclean/mcp

Settings → Connectors → “Add custom connector”, then paste this URL.

Python package (PyPI)

{
  "mcpServers": {
    "dataclean-mcp": {
      "command": "uvx",
      "args": [
        "dataclean-mcp"
      ],
      "env": {
        "KEYFLINT_LICENSE": "<your KEYFLINT_LICENSE>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "dataclean-mcp": {
      "url": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project).

Python package (PyPI)

{
  "mcpServers": {
    "dataclean-mcp": {
      "command": "uvx",
      "args": [
        "dataclean-mcp"
      ],
      "env": {
        "KEYFLINT_LICENSE": "<your KEYFLINT_LICENSE>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "dataclean-mcp": {
      "type": "http",
      "url": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}

Save as .vscode/mcp.json in your workspace.

Python package (PyPI)

{
  "servers": {
    "dataclean-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "dataclean-mcp"
      ],
      "env": {
        "KEYFLINT_LICENSE": "<your KEYFLINT_LICENSE>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "dataclean-mcp": {
      "serverUrl": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Python package (PyPI)

{
  "mcpServers": {
    "dataclean-mcp": {
      "command": "uvx",
      "args": [
        "dataclean-mcp"
      ],
      "env": {
        "KEYFLINT_LICENSE": "<your KEYFLINT_LICENSE>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "dataclean-mcp": {
      "url": "https://mcp.keyflint.dev/dataclean/mcp"
    }
  }
}

Python package (PyPI)

{
  "mcpServers": {
    "dataclean-mcp": {
      "command": "uvx",
      "args": [
        "dataclean-mcp"
      ],
      "env": {
        "KEYFLINT_LICENSE": "<your KEYFLINT_LICENSE>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by ArceeDev

View all ArceeDev servers →

No task-specific alternatives are catalogued for DataCleanyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Nov 5, 2026
Latest version published: Nov 6, 2026
Version history: 1 version tracked (below)
Requirements evidence: Verified by MCP Toplist on Nov 8, 2026: the public endpoint answered an unauthenticated connection with 401 Unauthorized, so it requires sign-in or an API key.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Nov 11, 2026

Registry sightings

Glama ↗listed since Nov 6, 2026 · still listed
Official MCP ↗listed since Nov 7, 2026 · still listed

Do you maintain DataClean? to show as its verified maintainer and add your own summary, sign-in details and links. The rest of this page is read from the registry listings and from MCP Toplist's own connection check.

VERSIONS

Available versions (1)

Version	Published
0.2.0	Nov 6, 2026

STANDING

#36,973of 173,664 active serversTop 25%

Ranks ahead of 136,691 of 173,664 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.ArceeDev%2Fdataclean-mcp.svg)](https://mcptoplist.com/server/io.github.ArceeDev%2Fdataclean-mcp)

HTML

<a href="https://mcptoplist.com/server/io.github.ArceeDev%2Fdataclean-mcp"><img src="https://mcptoplist.com/badge/io.github.ArceeDev%2Fdataclean-mcp.svg" alt="MCP Toplist: Top 25% of 173,664" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

FAQ

Frequently asked questions

Who maintains DataClean?: DataClean is maintained by ArceeDev, which publishes 5 MCP servers (8 total versions) tracked on MCP Toplist.
Is DataClean listed on the Official MCP Registry?: Yes — DataClean is listed on the Official MCP Registry, alongside Glama.
How many versions does DataClean have?: MCP Toplist tracks 1 version of DataClean, most recently published on Nov 6, 2026.
Where can I find the source code for DataClean?: The source code for DataClean is hosted at github.com/ArceeDev/dataclean-mcp.

Used in projects

Do you run this server?

Community projects list the MCP servers behind real agents and apps. Publish yours and this page will link to it.

EXPLORE

All MCP Servers Official MCP Servers GitHub MCP Servers Best MCP Servers Most Active MCP Servers New MCP Servers Best New MCP Servers