db-query-mcp
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- AlicenseAqualityBmaintenanceEnables AI agents to inspect database schemas and run strictly read-only SQL queries with guardrails against destructive statements, multi-statement chaining, and unbounded scans. Supports SQLite natively and PostgreSQL optionally.437 PyPIMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to explore and query SQLite databases through read-only tools, with defense-in-depth sandboxing preventing any data modifications.MIT
- AlicenseAqualityCmaintenanceEnables AI agents to safely explore and query a SQLite database in read-only mode, allowing them to inspect schema and run analytical SQL queries without risking data modification.3MIT
- AlicenseAqualityBmaintenanceEnables AI agents and developers to introspect SQLite schemas, run sandboxed read-only queries with pagination, inspect query plans, and generate token-dense database summaries for LLM context. All operations enforce multi-layer read-only safety so databases can be explored without risk of mutation.5MIT
- AlicenseAqualityDmaintenanceEnables safe, read-only SQL access to SQLite databases for AI agents, allowing schema exploration and SELECT queries with defense-in-depth protections.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to explore and query PostgreSQL or SQLite databases read-only, with SQL allow-listing, automatic row limits, statement timeouts, column masking, per-tool rate limits and JSONL audit logging.MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: query executes read-only SQL, while schema lists tables and views. There is no overlap or ambiguity between them.
"query" and "schema" are both simple lowercase single words, but one is an action verb and the other a resource noun, so they do not follow a consistent verb_noun pattern. The convention is mixed yet still readable.
Two tools is quite thin for a database query server. The core operations are present, but many auxiliary capabilities (e.g., describe table, list databases) are missing.
The surface covers running read-only queries and listing tables/views, but lacks structured schema inspection (column types, keys) and other common database operations. Users can work around via PRAGMA queries, but it's a notable gap.