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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | agentic-csv-cleaner | 0.1.3 | stdio |
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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