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Auto Ontology MCP

Auto Ontology MCP

by gogoymh
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    TDQS

    B3.3/5.0

    Scored across 33 tools

    Disambiguation3/5

    Most tools target distinct operations, but several search/retrieval tools overlap: search_ontology, search, fetch, get_term, list_terms and describe_table can all surface Term or table information. Similarly, define_entity, save_concept, save_table_terms and update_term all create/update Terms in different scopes, forcing the agent to reason carefully about which one to use.

    Naming Consistency4/5

    Predominantly verb_noun (get_term, save_sql_attribute, validate_sql, find_join_path), with only minor deviations like recent_changes, search and fetch. The convention is predictable overall.

    Tool Count2/5

    With 33 tools, the surface is well above the 3–15 sweet spot and includes redundant search/read tools. Although the domain is broad, the set feels overgrown and could be consolidated.

    Completeness4/5

    Covers datasource registration/scanning, Term modeling, relationships, SQL attributes, glossary, query validation/execution, export/import, personal knowledge records, concepts, sources and wiki export. Minor gaps include no delete-datasource operation and no explicit datasource listing beyond check_readiness.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources