larsenweigle/langextract-mcp

FastMCP for Google's langextract library

35
/ 100
Emerging

Exposes langextract's LLM-powered structured extraction with precise source grounding through the Model Context Protocol, enabling Claude Code and other MCP clients to extract and ground information from unstructured text via Gemini models. Features intelligent schema caching, persistent connection pooling, and server-side credential management optimized for long-running AI assistant environments. Provides tools for text/URL extraction, result persistence, and visualization generation with configurable extraction passes, temperature, and parallel processing parameters.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 9 / 25
Community 17 / 25

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Stars

28

Forks

9

Language

Python

License

MIT

Last pushed

Aug 06, 2025

Commits (30d)

0

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