AI Developer Tools

mcp-postgres

A high-performance MCP server that brings PostgreSQL into Claude Desktop and any MCP-compatible AI tool with 135 built-in tools.

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mcp-postgres

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What is mcp-postgres?

mcp-postgres is a high-performance Model Context Protocol server that connects PostgreSQL databases to AI assistants like Claude Desktop, providing 135 tools for schema inspection, query execution, and database monitoring.

mcp-postgres vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
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
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Comprehensive set of 135 tools covering almost all PostgreSQL operations
  • High performance with lock-free connection pooling and sub-10ms latency
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Requires some technical knowledge to set up and configure
  • Only supports PostgreSQL databases
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • Developers integrating PostgreSQL with AI assistants
  • Database administrators seeking automated management via AI
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use mcp-postgres?

  1. 1Install via `cargo install mcp-postgres` or `brew install mcp-postgres`.
  2. 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.
  3. 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.

This tool is completely free to use

Open Source

Free

Apache-2.0 license

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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