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An MCP server that validates content against MCP specification using semantic search and AI
24LimitedInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"carlisia-mcp-factcheck": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/carlisia/mcp-factcheck:v1.0.0"
],
"env": {
"OPENAI_API_KEY": ""
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| OPENAI_API_KEY | Yes | OpenAI API key for embedding generation and content validation |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
A Model Context Protocoll (MCP) server that validates content against official MCP specification using semantic search and AI-powered validation.
FAQ
- What is mcp-factcheck?
- An MCP server that validates content against MCP specification using semantic search and AI
- How do I install mcp-factcheck?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is mcp-factcheck official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 24 (Limited). The formula is published on the methodology page.
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