Developer · Local MCP server

DataSentry

Local-first MCP server for data-quality discovery, evidence, drift, and controlled repair.

Visit DataSentry's website

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

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxdatasentry-ai1.0.4stdioNone declared

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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