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larsenweigle

LangExtract MCP Server

by larsenweigle
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Python
Hybrid

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    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap. extract_from_text and extract_from_url handle different input sources, generate_visualization creates visual outputs, and save_extraction_results handles persistence. The boundaries are well-defined and unambiguous.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with clear, descriptive names. The naming convention is uniform throughout (extract_from_text, extract_from_url, generate_visualization, save_extraction_results), making the tool set predictable and easy to understand.

    Tool Count5/5

    Four tools is well-scoped for a structured information extraction server. The tools cover the complete workflow: extraction from different sources, visualization generation, and result persistence. Each tool earns its place without redundancy or gaps in the core functionality.

    Completeness5/5

    The tool set provides complete coverage for the structured information extraction domain. It supports extraction from both text and URLs, visualization of results, and saving for later use. There are no dead ends or missing operations for the intended purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources