mcp-postgres
A high-performance MCP server that brings PostgreSQL into Claude Desktop and any MCP-compatible AI tool with 135 built-in tools.
mcp-postgres
What is mcp-postgres?
How to use mcp-postgres?
- 1Install via `cargo install mcp-postgres` or `brew install mcp-postgres`.
- 2Run with your PostgreSQL connection string: `mcp-postgres --database-url "postgres://user:pass@localhost:5432/mydb" --stdio` for Claude Desktop or without --stdio for TCP.
- 3Add to Claude Desktop config by including the command in `claude_desktop_config.json`.
mcp-postgres Key Features
- 135 PostgreSQL tools including query execution, schema inspection, DDL operations, batch operations, monitoring, and more
- Lock-free connection pool with zero-mutex CAS loops
- Dual-protocol support: TCP (port 3000), HTTP/2 (port 3001), and stdio
- Sub-10ms latency with allocation-free hot path
- SQL injection prevention with identifier validation and quote_ident sanitization
- PG version-aware queries verified against PostgreSQL 16-18 with graceful fallbacks
mcp-postgres Use Cases
- Integrate PostgreSQL with AI assistants for natural language database queries
- Automate database schema inspection and modification via chat
- Perform database maintenance tasks like vacuum, analyze, and indexing
- Export and import data in CSV and JSON formats
- Monitor database health and performance through AI tools
mcp-postgres Pricing & Free Credits
mcp-postgres currently operates on a Free model.
mcp-postgres Pros & Cons
Pros
- Comprehensive set of 135 tools covering almost all PostgreSQL operations
- High performance with lock-free connection pooling and sub-10ms latency
- Easy integration with Claude Desktop and other MCP-compatible AI tools
- Open source and actively maintained
Cons
- Requires some technical knowledge to set up and configure
- Only supports PostgreSQL databases
- Limited to MCP protocol compatible clients
What is mcp-postgres best for?
- Developers integrating PostgreSQL with AI assistants
- Database administrators seeking automated management via AI
- AI enthusiasts building custom workflows with databases
mcp-postgres FAQ
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