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OLS MCP Server

by seandavi
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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

    B3.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: find_similar_terms uses embeddings for similarity, get_ontology_info and get_term_info retrieve metadata, get_term_ancestors and get_term_children handle hierarchical relationships, and search_ontologies and search_terms perform different types of searches. The descriptions clearly differentiate their functions.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case: find_similar_terms, get_ontology_info, get_term_ancestors, get_term_children, get_term_info, search_ontologies, and search_terms. The naming is predictable and readable throughout the set.

    Tool Count5/5

    With 7 tools, this is well-scoped for an ontology server, covering core operations like searching, retrieving metadata, and exploring term hierarchies. Each tool earns its place without being excessive or insufficient for the domain.

    Completeness4/5

    The tool set provides strong coverage for ontology exploration, including search, metadata retrieval, and hierarchical navigation. A minor gap is the lack of update or management tools (e.g., create_term, update_ontology), but this is reasonable for a read-focused server, and agents can work effectively with the provided tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources