Dev Tools & GitMCP RegistrypypiB · 74

DataSentry MCP server

Name: DataSentry
Author: Jackxiaozhiren

io.github.Jackxiaozhiren · Updated 9d ago

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

At a glance

DataSentry is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `uvx datasentry-ai`, and declares no required credentials. It scores B (74/100) on the MCP Skills Hub health score as of Oct 27, 2026.

Source 2

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install DataSentry in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install DataSentry in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add datasentry -- uvx datasentry-ai

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install DataSentry in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

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

Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install DataSentry in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

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

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install DataSentry in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.datasentry]
command = "uvx"
args = ["datasentry-ai"]

Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install DataSentry in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

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

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install DataSentry in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

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

How to install DataSentry in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "datasentry": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "datasentry-ai"
      ]
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does DataSentry expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Source analysis currently covers npm packages only. This server ships as a Python package, which needs a different parser.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
Downloads at launch — The package is fetched from its registry each run unless you pin a version.

Last commit today — Actively maintained.
Repository created 2 months ago — Very new project with little track record yet.
2 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 74

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 0 days ago.
Adoption20%14%
2 stars.
Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%100%
Publishes a pinned version (2.0.0).

Documentation

Full README

DataSentry

<strong>Find bad data before your users do.</strong> Automatic data-quality discovery, evidence-backed explanations, and safe reversible repair. <strong>Local-first. Deterministic by default. AI optional.</strong>

Live demo · 30-second start · Use cases · FAQ · PyPI · Examples · MCP setup · Contribute

中文导读：DataSentry 会先自动发现数据质量问题，再给出样本、比例、置信度等证据。修复采用 propose → preview → apply to a copy → verify → rollback 的保守流程。检测与评分不依赖 LLM，AI 只作为可选辅助，数据可以完全留在本机。

Try it in 30 seconds

Install the current PyPI release and run the zero-config product tour:

bash

pip install --upgrade datasentry-ai
datasentry demo

datasentry-demo is also available as a direct console alias.

The demo generates synthetic dirty data, runs the built-in detectors, exports JSON + HTML reports, applies one safe repair to a copy, re-scans the repaired copy, and prints a rollback command. It needs no dataset, cloud service, API key, or LLM.

text

synthetic dirty CSV
        ↓
39 deterministic detectors
        ↓
evidence-backed issues + quality score
        ↓
preview → repaired copy
        ↓
re-scan → verify new/persistent issues

Prefer scanning your own data immediately?

bash

curl -L https://raw.githubusercontent.com/Jackxiaozhiren/datasentry/main/demo-data/orders.csv -o orders.csv
datasentry scan orders.csv
datasentry issues list --severity high

Or launch the interactive interfaces:

bash

datasentry          # terminal UI
datasentry-server   # Web UI + REST API at http://localhost:8000/ui/

Excerpt — the full document is on GitHub.

Alternatives to DataSentry

Maintain DataSentry? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

markdown

[![DataSentry on MCP Skills Hub](https://mcp-skills-hub.vercel.app/badge/io-github-jackxiaozhiren-datasentry)](https://mcp-skills-hub.vercel.app/mcps/io-github-jackxiaozhiren-datasentry)

Catalog data refreshed Oct 27, 2026. Something wrong? Report it.