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kevinbtalbert

Solr MCP

by kevinbtalbert
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Python
Hybrid

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    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