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ViratGarg2

ElasticMind-MCP

by ViratGarg2
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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

    A3.6/5.0

    Scored across 4 tools

    Disambiguation3/5

    The tools have some overlap in purpose that could cause confusion. Both 'add_text_to_index' and 'ingest_pdfs' add documents to the knowledge base, though from different sources. 'index_documents' also indexes documents but from a specific JSON file, creating potential ambiguity about when to use each ingestion method. The descriptions help clarify the differences, but the boundaries between these three tools are not perfectly distinct.

    Naming Consistency4/5

    The naming follows a mostly consistent pattern with three tools using verb_noun format ('add_text_to_index', 'index_documents', 'ingest_pdfs') and one using verb_noun_noun ('query_knowledge_base'). All use snake_case consistently. The minor deviation is that 'query_knowledge_base' has an extra noun component, but the pattern remains readable and predictable.

    Tool Count5/5

    Four tools is well-scoped for a knowledge base server. Each tool appears to earn its place with distinct functions: document ingestion from different sources, indexing initialization, and querying. This count provides complete coverage without being overwhelming for the apparent scope of managing and querying a knowledge base.

    Completeness3/5

    The tool surface has notable gaps in the document lifecycle. While it covers ingestion from multiple sources and querying, there are no tools for updating, deleting, or managing existing documents in the knowledge base. The server appears focused on building and querying the knowledge base, but lacks maintenance operations that would be needed for a complete CRUD lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources