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RDF4J MCP Server

by odysa
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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

    A3.8/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (e.g., sparql_select vs. sparql_ask vs. sparql_construct). However, describe_resource overlaps significantly with sparql_construct as both return triples, which could cause misselection.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., list_repositories, get_statistics, select_repository). The sparql_* tools use a predictable sparql_<query_type> convention, maintaining overall consistency.

    Tool Count5/5

    13 tools is well-scoped for an RDF4J server, covering querying, schema exploration, and repository management without feeling bloated or sparse.

    Completeness4/5

    The tool set provides strong coverage for querying, schema discovery, and repository selection. Minor gaps include no SPARQL UPDATE/insert/delete operations and no explicit repository creation, but these are not critical for a read-oriented RDF explorer.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources