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DataSentry

MCP server · by Jackxiaozhiren

Developer Tools Python v2.0.0

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

View source ↗ Website ↗ Generate config for multiple servers More servers

Install

registry version 2.0.0

Python
uvx datasentry-ai

Setup by client

Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "datasentry": {
      "command": "uvx",
      "args": [
        "datasentry-ai"
      ]
    }
  }
}

Format verified against the official Claude Desktop docs ↗.

GitHub

⭐ 2 stars · 最近更新于 27 天前 · Apache-2.0 license

About this server

DataSentry Find bad data before your users do. Automatic data quality discovery, evidence backed explanatio…

Summary from the project README — github.com/Jackxiaozhiren/datasentry

Distributed as Python, listed under Developer Tools. Review our MCP security guide before granting access to real data.

Frequently asked questions

What does the DataSentry MCP server do?

DataSentry Find bad data before your users do. Automatic data quality discovery, evidence backed explanatio

How do I install DataSentry?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is DataSentry free to use?

The MCP server itself is free to install. The source is public on https://github.com/Jackxiaozhiren/datasentry. Any third-party service it calls may require its own API key and account.

Which clients support DataSentry?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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