# io.github.carlisia/mcp-factcheck

> Use this tool when you need to validate content against the MCP specification, as it leverages semantic search and AI to ensure compliance. It solves problems related to content accuracy and consistency, providing outputs that confirm or reject content validity. Ideal for use cases where MCP specification adherence is crucial, this tool accepts content inputs and returns validation results.

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

## Description

An MCP server that validates content against MCP specification using semantic search and AI

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.carlisia%2Fmcp-factcheck)
- **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": "io-github-carlisia-mcp-factcheck"
    }
  }
}
```

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

---
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