DB MCP Server
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TDQS
Scored across 23 tools
Every tool is namespaced by engine (db_, mongo_, redis_, es_) and action, making read, write, and administrative operations easy to separate. Even db_execute vs db_insert/update/delete is clear because execute is for arbitrary SQL statements while the specialized tools target row-level operations.
Tool names follow a mostly consistent <engine>_<operation> pattern, with clear prefixes like db_, mongo_, redis_, and es_. Minor inconsistency exists between verb-only names like db_query, db_execute, and mongo_find versus verb-noun names like db_list_tables and mongo_list_databases.
23 tools is slightly above the typical sweet spot, but the server covers four different database engines, so the breadth is justified. Each tool represents a distinct operation and none feel redundant or purely decorative.
SQL, MongoDB, and Redis have solid CRUD and inspection coverage, and Elasticsearch covers search, indexing, and deletion. Minor gaps exist, such as no ES update/get-by-id, no explicit transaction control, and no SQL database listing, but agents can often work around these with db_execute or search queries.