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jena-mcp-server

jena-mcp-server

by semivaro
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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

    A4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (e.g., load_rdf_file vs write_graph vs sparql_update), but read_graph and describe_resource overlap somewhat in retrieving graph data, and sparql_query could be used for many read operations. Descriptions help clarify boundaries, so ambiguity is minimal.

    Naming Consistency4/5

    Predominantly snake_case verb_noun pattern (e.g., load_rdf_file, create_dataset, drop_graph), but a few names like dataset_stats and task_status are noun-first rather than verb-first. Still, the convention is mostly consistent and readable.

    Tool Count5/5

    16 tools is well-scoped for a Jena/Fuseki MCP server covering dataset management, graph operations, querying, and background tasks. Each tool earns its place without redundancy.

    Completeness4/5

    Covers most lifecycle operations: create/delete datasets, load/write/read graphs, SPARQL query/update, backup, compact, and task status. Missing a direct tool to list all triples or export a dataset, but these can be achieved via SPARQL. Minor gaps exist but core workflows are covered.

    Resources