DataSentry

Overview

DataSentry is a Model Context Protocol (MCP) server: Local-first MCP server for data-quality discovery, evidence, drift, and controlled repair. In practice that means any MCP-compatible AI assistant can call DataSentry's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package datasentry-ai (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v1.0.4, published under the Apache-2.0 license, with source at Jackxiaozhiren/datasentry on GitHub.

DataSentry is listed under Development on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain DataSentry for Jackxiaozhiren, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "datasentry": {
      "command": "uvx",
      "args": [
        "datasentry-ai"
      ]
    }
  }
}