LangExtract
Enables AI assistants to extract structured information from unstructured text using Google's langextract library through an optimized Model Context Protocol interface.
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This FastMCP server exposes Google's `langextract` library capabilities, allowing AI assistants like Claude Code to securely extract structured information from text documents using Large Language Models while maintaining precise source grounding. It features advanced performance optimizations such as intelligent caching, persistent connections, and server-side credential management, ensuring optimal performance and complete security isolation in long-running environments. The server provides six specialized MCP tools for core text extraction, URL processing, result saving, visualization generation, and server information retrieval, primarily supporting Google Gemini models.
Características Principales
- Server-side credential management for enhanced security
- 0 GitHub stars
- Secure and optimized Model Context Protocol (MCP) interface
- Six specialized MCP tools for comprehensive text extraction workflows
- Intelligent caching and persistent connections for optimal performance
- Support for Google Gemini models with advanced configuration options
Casos de Uso
- Extracting methodologies, findings, and citations from research papers in academia
- Extracting medications, dosages, and treatment protocols from clinical notes in healthcare
- Extracting contract terms, parties, and obligations from legal and compliance documents
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