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kevinbtalbert

Solr MCP

by kevinbtalbert
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Python
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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

    A3.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    The four query tools (search, sql-select, semantic-select, vector-select) overlap in purpose, but descriptions explicitly steer agents—search for Lucene/full-text, sql-select for the SQL interface, and the two vector variants differ clearly by taking either natural-language text or a precomputed vector. Boundaries are mostly clear with only minor potential confusion between semantic-select and vector-select.

    Naming Consistency4/5

    All names use consistent kebab-case (get-default-text-vectorizer, list-collections, get-schema, sql-select, etc.), which is predictable and readable. Minor deviation: a few tools are noun-style rather than verb_noun (search, sql-select, vector-select), but the pattern is still coherent.

    Tool Count5/5

    Seven tools is well-scoped for a Solr query server, with each tool covering a distinct capability (listing, schema introspection, full-text search, SQL, semantic, vector, and vectorizer defaults). No filler or redundancy that would suggest bloat.

    Completeness3/5

    The read/query surface is fairly complete (collections, schema, multiple query modes), but there are no write operations—no document indexing/update/delete and no collection create/delete—which are core Solr lifecycle operations. Agents can search but cannot mutate data or manage collections, leaving notable gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources