db-mcp
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Alternatives to db-mcp
No user-submitted related servers found.
Related Servers
- FlicenseAqualityBmaintenanceGives AI agents read-only analytical access to an e-commerce SQLite database (customers, orders, order_items, products) via SQL queries, table listing, and schema inspection.3-
- FlicenseAqualityCmaintenanceEnables an AI agent to inspect and analyze a local SQLite shop database through read-only, single-query SELECT operations, with schema inspection and paginated querying.2-
- FlicenseAqualityCmaintenanceEnables AI agents to read-only query an online store's SQLite database, listing tables, inspecting schemas, and running SELECT queries over customers, products, orders, and order items.3-
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to query an SQLite e-commerce database read-only, supporting analytical questions about customers, products, orders, and revenue.-
- FlicenseAqualityCmaintenanceEnables AI agents to analyze an SQLite e-commerce database via secure read-only SQL queries, providing tools for table inspection and analytical requests.2-
- FlicenseAqualityCmaintenanceEnables AI agents to answer analytical questions about an online store's SQLite database through specialized read-only tools, without any risk of modifying the underlying data.8-
TDQS
Scored across 6 tools
Each tool has a clearly distinct role: schema discovery, ad-hoc querying, and specific analytical reports. The specialized analytics tools explicitly tell agents to use them instead of writing equivalent queries, and the query tool remains the catch-all for anything else.
Tool names consistently follow an imperative verb first pattern: list_tables, describe_table, query, get_top_customers, etc. There is no mixing of naming conventions or vague duplicate verb prefixes, making the set predictable.
Six tools is well-scoped for a read-only database MCP server. The set covers discovery, raw querying, and common analytics needs without unnecessary redundancy or bloat.
For a read-only shop database server, the surface is complete: discover tables, inspect schemas, run arbitrary SELECT queries, and pull common analytics reports. The raw query tool covers edge cases not handled by the specialized reports, so there are no obvious dead ends.