# Fact Check Tools MCP Server

> Use this tool when you need to verify the accuracy of information or identify misleading content, as it enables interaction with Google's Fact Check Tools API to query and manage fact-check claims and publishers through natural language commands. It solves problems related to misinformation and disinformation by providing a simple interface to access fact-checking data. Ideal for use cases requiring automated fact-checking, such as content moderation or research, with inputs including natural language queries and outputs including verified fact-check claims and publisher information.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-fact-check-tools-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fact-check-tools-api

## Description

An MCP server that enables interaction with Google's Fact Check Tools API, allowing users to query and manage fact-check claims and publishers through natural language commands.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ryvk6urlxa)
- **Repository:** <https://github.com/ag2-mcp-servers/fact-check-tools-api>

## 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": "ag2-mcp-servers-fact-check-tools-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fact-check-tools-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fact-check-tools-api/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