postgres-mcp-server
Provides an MCP (Model Context Protocol) server that enables an AI assistant to interact with a PostgreSQL database using three tools: execute_query (SELECT/read), ddl_query (schema changes), and modify_query (INSERT/UPDATE/DELETE). The README claims queries are validated and restricted to block dangerous operations (e.g., DROP/administrative commands) before execution.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README claims query validation and blocking of dangerous operations (e.g., DROP/TRUNCATE/GRANT) and mentions SSL support for PostgreSQL. However, there is no documented MCP-level authentication/authorization, no documented per-tool/per-scope access control beyond the conceptual separation of tools, and no explicit statement about audit logging, SQL parameterization approach in the MCP layer (beyond a claim that GORM helps against SQL injection). Security therefore relies strongly on running the MCP server behind trusted boundaries and using a least-privilege database role.
⚡ Reliability
Best When
You run the MCP server in a trusted environment (e.g., local/dev or tightly controlled backend) and use database credentials with least privilege to limit what the assistant can do.
Avoid When
When you cannot enforce network/trust boundaries or cannot ensure the database user has least-privilege permissions, since the assistant may still be able to execute allowed statements that impact data.
Use Cases
- • Allowing AI assistants to run safe read-only analytics queries (SELECT) against PostgreSQL
- • Enabling controlled schema changes via an AI workflow (CREATE/ALTER/etc.)
- • Performing controlled data modifications (INSERT/UPDATE/DELETE) with validation
Not For
- • Public-facing usage where untrusted users can directly trigger SQL execution via the MCP tool
- • Use cases requiring strict auditing/traceability of every SQL statement beyond basic validation claims
- • Environments that require API-level authentication/authorization for the MCP server itself (no such mechanism is documented here)
Interface
Authentication
No authentication/authorization mechanism for the MCP transport is described. Connection security is handled via PostgreSQL credentials; therefore security depends heavily on where/how the MCP server is exposed and the permissions of the database user.
Pricing
Open source (MIT) per repository metadata; pricing not applicable.
Agent Metadata
Known Gotchas
- ⚠ The server does not automatically LIMIT results; agents should include LIMIT to avoid huge result sets and timeouts.
- ⚠ Tool routing matters: SELECT queries go to execute_query; schema changes go to ddl_query; data modifications go to modify_query.
- ⚠ Validation/rules are described at a high level in README; exact allow/deny behavior may differ, so agents may need to iteratively adapt to rejected queries.
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Scores are editorial opinions as of 2026-04-04.