Developer · Local MCP server

Data Cleaner Agent

Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.wesseltl/data-cleaner-agent
Version
0.1.3
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-08-09
Updated
2026-08-09
Publisher
wesseltl (GitHub) · 4 servers with pages here
Repository
github.com/wesseltl/data-cleaner-agent
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIagentic-csv-cleaner0.1.3stdioNone declared

How to connect Data Cleaner Agent

Data Cleaner Agent runs locally from a Python package published to PyPI: agentic-csv-cleaner version 0.1.3. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx agentic-csv-cleaner.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "data-cleaner-agent": {
      "command": "uvx",
      "args": [
        "agentic-csv-cleaner"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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