postgres-readonly-mcp
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- FlicenseAqualityDmaintenanceEnables AI agents to inspect and query PostgreSQL databases safely, with features like listing tables, retrieving schemas, and running read-only SQL queries.3-
- FlicenseNot gradedqualityCmaintenanceEnables LLM agents to explore and query a Postgres database through secure, read-only tools.-
- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI assistants with safe, controlled access to PostgreSQL databases with read-only defaults, granular permissions, query safety features, and schema introspection capabilities.1-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query PostgreSQL, inspect schemas, and explain queries, designed for local and development databases with read-only safety by default.36 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with PostgreSQL databases, providing tools for querying, table listing, schema exploration, and multi-environment management with write protection and schema scoping.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to query and analyze PostgreSQL databases through a controlled interface. Supports SQL query execution, table schema inspection, and optional write operations with safety controls.84 npm180MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: listing environments, running queries, listing schemas, listing tables, and describing a table. There is no overlap in their intended use, and descriptions reinforce the boundaries.
All tool names follow a consistent snake_case verb_noun pattern: list_environments, run_query, list_schemas, list_tables, describe_table. The slight variation in verbs (list, run, describe) is appropriate and predictable.
Five tools are well-scoped for a read-only PostgreSQL server, covering environment discovery, query execution, and schema introspection without bloat or omission of core operations.
The surface covers essential read-only operations: environment listing, ad-hoc queries, schema/table listing, and column description. Minor gaps exist for more granular introspection (e.g., indexes, foreign keys, constraints), but agents can work around them with run_query.