Portable Database MCP
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TDQS
Scored across 16 tools
Each tool targets a distinct resource and action across SQL and MongoDB: find vs aggregate vs write for Mongo, query vs execute vs explain for SQL, and separate list/describe tools for schemas, tables, collections, and databases. Hybrid_query and suggest_sql are unique in purpose. No two tools overlap in a way that would cause misselection.
Most tool names follow a consistent verb_noun snake_case pattern (find_documents, aggregate_documents, write_document, list_schemas, describe_table, query_sql, execute_sql, etc.). Minor deviations are health_check (noun_noun) and hybrid_query (adjective_noun), but overall the convention is clear and predictable.
16 tools is slightly above the typical 3-15 sweet spot, but the dual SQL/MongoDB scope justifies separate read, write, schema, transaction, and hybrid operations. Each tool earns its place with no obvious redundancy, though a few could theoretically be merged (e.g., schema listing tools).
The surface covers core CRUD and lifecycle operations for both SQL and MongoDB: connect, inspect schemas/tables/collections, query, write, transact, explain, and hybrid join. Minor gaps include no DDL (create/alter/drop), no index management, and no bulk MongoDB writes, but common agent workflows are well supported.