PGMCP
MCP server that converts natural language questions into SQL queries against any PostgreSQL database, returning results in table, JSON, or CSV format with streaming support for large result sets.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
PostgreSQL MCP server. Connection string with credentials — use secrets manager. Use read-only DB user for query agents. SQL injection risk for dynamic queries.
⚡ Reliability
Best When
You want a safe, read-only natural language interface to an existing Postgres database and are using a MCP-compatible client like Claude Desktop or Cursor.
Avoid When
You need write access, multi-database federation, or are working with databases other than PostgreSQL.
Use Cases
- • Ask plain-English questions against a production Postgres database without writing SQL
- • Export database data to CSV/JSON via natural language commands
- • Schema discovery and exploration through conversational queries
- • Business analytics queries from non-technical users via AI assistants
- • Read-only database auditing and reporting workflows
Not For
- • Write operations — enforces read-only access by design
- • Non-PostgreSQL databases
- • Environments where connecting an AI to production DB credentials is not acceptable
Interface
Authentication
DATABASE_URL env var required; optional AUTH_BEARER for request authentication; optional OPENAI_API_KEY for AI-powered SQL generation
Pricing
Apache 2.0. OpenAI API calls incur cost if OPENAI_API_KEY is configured; defaults to gpt-4o-mini.
Agent Metadata
Known Gotchas
- ⚠ Requires OpenAI API key for AI-powered SQL generation — without it, NL-to-SQL capability is limited
- ⚠ Read-only enforcement means agents cannot use it for any data mutations
- ⚠ Mixed-case table names and composite keys require correct schema introspection
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for PGMCP.
Scores are editorial opinions as of 2026-03-06.