ClaimsMCP MCP Server

An implementation of the "Claimify" methodology for factual claim extraction, delivered as a local Model Context Protocol (MCP) server. This tool

Local serverstdioPython

What is the ClaimsMCP MCP Server?

An implementation of the "Claimify" methodology for factual claim extraction, delivered as a local Model Context Protocol (MCP) server. This tool implements the

What you get

Claimify extracts verifiable, decontextualized factual claims from text using a sophisticated four-stage pipeline:

  • Research-based methodology — Implements the peer-reviewed Claimify approach
  • Structured outputs — Uses OpenAI's structured outputs for reliable, type-safe responses
  • MCP integration — Seamlessly integrates with development environments
  • Robust parsing — Handles various text formats including lists and paragraphs
  • Context-aware — Uses surrounding sentences to resolve ambiguities
  • Multi-language support — Preserves original language while extracting claims

Configuration and credentials

  • OpenAI API: Requires an OpenAI API key (if your MCP host does not support sampling (Github Copilot in vsCode does)) - Compatible Model: Must use a model that supports structured outputs: - gpt-4o (recommended) - gpt-4o-mini (faster and cheaper) - Python 3.10+: For proper type hints and Pydantic support

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the ClaimsMCP MCP Server

{
  "mcpServers": {
    "claimify-local": {
      "command": "/path/to/your/claimify-env/bin/python",
      "args": [
        "/path/to/your/project/claimify_server.py"
      ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • OpenAI API: Requires an OpenAI API key (if your MCP host does not support sampling (Github Copilot in vsCode does)) - Compatible Model: Must use a model that supports structured outputs: - gpt-4o (recommended) - gpt-4o-mini (faster and cheaper) - Python 3.10+: For proper type hints and Pydantic support
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

An implementation of the "Claimify" methodology for factual claim extraction, delivered as a local Model Context Protocol (MCP) server. This tool implements the Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.