# retraction-watch-mcp

> retraction-watch-mcp — handsomezr-netizen-retraction-watch-mcp. Use this tool when you need to verify the integrity of academic papers by checking references against the Retraction Watch database. It solves problems of academic dishonesty and flawed research by identifying retracted sources with high precision, using title, year, and author surname. The tool accepts PDF, DOCX, and LaTeX files as input and provides output via web app, CLI, or MCP server interfaces.

Canonical page: https://skillsregistry.net/skills/handsomezr-netizen-retraction-watch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/handsomezr-netizen-retraction-watch-mcp

## Description

Local-first academic-integrity screening tool. Drag a PDF/DOCX/LaTeX, every reference checked against the Retraction Watch database with three-gate precision (title + year + author surname). Web app + CLI + MCP server, all sharing the same engine.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/handsomeZR-netizen/retraction-watch-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "handsomezr-netizen-retraction-watch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/handsomezr-netizen-retraction-watch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/handsomezr-netizen-retraction-watch-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt