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jdocmunch-mcp

by jgravelle
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.9/5.0

    Scored across 64 tools

    Disambiguation4/5

    The 64 tools have mostly distinct purposes, with clear descriptions distinguishing similar functions like get_section vs get_sections vs get_section_excerpt. Some near-overlaps exist (e.g., get_toc vs get_toc_tree vs get_document_outline), but descriptions resolve ambiguity well. Overall, an agent can tell tools apart despite the high volume.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (get_, list_, search_, find_, check_, verify_), but there are exceptions like doc_health_radar, jdocmunch_guide, and tune_weights. The inconsistency is minor and doesn't impede understanding, though a few tools deviate from the dominant convention.

    Tool Count2/5

    With 64 tools, the server is heavily overloaded. While the domain is broad (indexing, retrieval, health, schema, code bridging), many tools are granular variants (e.g., multiple section retrieval/metadata tools) that could be consolidated. The count far exceeds the typical 3-15 range and even the 25+ threshold, making it unwieldy for an agent.

    Completeness4/5

    The tool surface is remarkably comprehensive: it covers local and GitHub indexing, search (sections, titles, code), retrieval (single, batch, excerpts, summaries), navigation, health diagnostics, link analysis, schema operations, and code bridging. Minor gaps exist (e.g., no explicit update tool for existing indexes, but index_local refreshes), but overall the domain is well-covered.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources