Developer · Local MCP server
DataSentry
Local-first MCP server for data-quality discovery, evidence, drift, and controlled repair.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.Jackxiaozhiren/datasentry- Version
- 1.0.4
- Status
- Active
- Category
- developer
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-08-29
- Updated
- 2026-08-29
- Publisher
- Jackxiaozhiren (GitHub)
- Website
- jackxiaozhiren.github.io/datasentry/
- Repository
- github.com/Jackxiaozhiren/datasentry
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | datasentry-ai | 1.0.4 | stdio |
How to connect DataSentry
DataSentry runs locally from a Python package published to PyPI: datasentry-ai version 1.0.4. 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 datasentry-ai.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"datasentry": {
"command": "uvx",
"args": [
"datasentry-ai"
]
}
}
}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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