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NavinAnik

mcp-knowledge-server

by NavinAnik
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct action on either documents or collections. search_documents and similar_documents are differentiated by input (query text vs. chunk ID), and rag_answer is clearly for answer generation, so there is no ambiguity.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern with snake_case (add_document, delete_document, list_collections). However, 'add' and 'create' are used interchangeably for creation, and 'similar_documents' uses an adjective instead of a verb, creating minor inconsistencies.

    Tool Count5/5

    With 12 tools, the server covers document CRUD, collection management, search/retrieval, and health monitoring. This is well-scoped for a knowledge server and each tool earns its place without redundancy.

    Completeness4/5

    The tool surface provides full document lifecycle (add, get, update, delete, list), collection management (create, delete, list), semantic search, similar-document lookup, and RAG. Minor gaps such as missing get_collection or update_collection exist, but core workflows are fully covered.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources