# mcp-factcheck

> mcp-factcheck — carlisia-mcp-factcheck. Use this tool when you need to validate code or content for technical accuracy, ensuring compliance with official MCP specifications to prevent misinformation. It solves problems related to incorrect or outdated information, providing a reliable interface for inputting code or content and outputting verification results. Ideal for use in development, documentation, and knowledge-sharing contexts where accuracy is crucial.

Canonical page: https://skillsregistry.net/skills/carlisia-mcp-factcheck  
JSON: https://api.skillsregistry.net/v1/skills/carlisia-mcp-factcheck

## Description

Validates code or content against official MCP specifications to ensure technical accuracy and prevent misinformation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cf0km2zcxi)
- **Repository:** <https://github.com/carlisia/mcp-factcheck>

## 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": "carlisia-mcp-factcheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carlisia-mcp-factcheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carlisia-mcp-factcheck/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