About pgEdge MCP Server for Postgres
pgEdge Postgres MCP Server lets MCP-compatible clients run SQL queries against PostgreSQL, with a Natural Language Agent that helps form queries. It targets internal tools and developer workflows where all users are trusted, and is not intended for public-facing applications.
Key features
- 01Queries run in read-only transactions by default
- 02Tools for query execution and schema analysis
- 03Hybrid search using BM25 and MMR
- 04Web UI, Go command line client and HTTP mode
- 05User and API token authentication with TLS support
- 06Supports PostgreSQL 14 and higher
Use cases
- 01Querying a database from Claude Desktop or Cursor
- 02Forming and running SQL from natural language
- 03Exploring database structure through a team web interface
MCP support
This project is an MCP server that exposes PostgreSQL query tools, statistics resources and prompts to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm ghcr.io/pgedge/postgres-mcp:latestLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
ghcr.io/pgedge/postgres-mcp:lateststdioTools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEpgEdge Postgres MCP Server and Natural Language Agent
- About the pgEdge Postgres MCP Server
- Installing the MCP Server
- Configuring the MCP Server
- Specifying Configuration Preferences
- Using Environment Variables to Specify Options
- Including Provider Embeddings in a Configuration File
- Configuring the Agent for Multiple Databases
- Configuring Supporting Services; HTTP, systemd, and nginx
- Using an Encryption Secret File
- Enabling or Disabling Features
- Configuring and Using a Client Application
- Reviewing Server Logs
- Authentication and Security
- Reference
- Advanced Topics
- For Developers
- Contributing
- Accessing Online Help
- Troubleshooting
- Release Notes
- Licence
The pgEdge Postgres Model Context Protocol (MCP) server enables SQL queries against PostgreSQL databases through MCP-compatible clients. The Natural Language Agent provides supporting functionality that allows you to use natural language to form SQL queries.
Supported Versions: PostgreSQL 14 and higher.
NOT FOR PUBLIC-FACING APPLICATIONS: This MCP server provides LLMs with read access to your entire database schema and data. It should only be used for internal tools, developer workflows, or environments where all users are trusted. For public-facing applications, consider the pgEdge RAG Server instead. See the Choosing the Right Solution guide for details.
Quick Start
The Quick Start guide covers installation and setup for all supported clients:
| Client | Transport | Best For |
|---|---|---|
| CLI (Stdio) | Stdio | Local single-user development |
| CLI (HTTP) | HTTP | Multi-user or remote access |
| Web UI | HTTP | Browser-based chat interface |
| Claude Code | Stdio | Anthropic CLI agent |
| Claude Desktop | Stdio | Anthropic desktop app |
| Cursor | Stdio | AI code editor |
| Windsurf | Stdio | Codeium code editor |
| VS Code Copilot | Stdio | GitHub Copilot agent |
For a guided demo with sample data, see the Quickstart Demo with Northwind.
Key Features
- Read-Only Protection - All queries run in read-only transactions by default
- Resources - Access PostgreSQL statistics and more
- Tools - Query execution, schema analysis, advanced hybrid search (BM25+MMR), embedding generation, resource reading, and more
- Prompts - Guided workflows for semantic search setup, database exploration, query diagnostics, and more
- Production Chat Client - Full-featured Go client with Anthropic prompt caching (90% cost reduction)
- HTTP/HTTPS Mode - Direct API access with user and token authentication
- Web Interface - Modern React-based UI with AI-powered chat for natural language database interaction
- Docker Support - Pre-built images on GitHub Container Registry with Docker Compose deployment
- Secure - TLS support, user and token auth, read-only enforcement
- Hot Reload - Automatic reload of authentication files without server restart
Development
Prerequisites
- Go 1.21 or higher
- PostgreSQL 14 or higher (for testing)
- golangci-lint v1.x (for linting)
Setup Linter
The project uses golangci-lint v1.x. Install it with:
go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest
Note: The configuration file .golangci.yml
is compatible with golangci-lint v1.x (not v2).
Building
git clone https://github.com/pgEdge/pgedge-postgres-mcp.git
cd pgedge-postgres-mcp
make build
Testing
# Run all tests
make test
# Run server tests with a database
export TEST_PGEDGE_POSTGRES_CONNECTION_STRING=\
"postgres://localhost/postgres?sslmode=disable"
go test ./...
# Run with coverage
go test -v -cover ./...
# Run linting
make lint
Web UI Tests
The web UI has a comprehensive test suite. See web/TEST_SUMMARY.md for details.
cd web
npm test # Run all tests
npm run test:watch # Watch mode
npm run test:coverage # With coverage
Security
- Read-only transaction enforcement (configurable per database)
- User and API token authentication with expiration
- TLS/HTTPS support
- SHA256 token hashing
- File permission enforcement (0600)
- Input validation and sanitization
See the Security Guide for comprehensive security documentation.
Troubleshooting
Tools not visible in Claude Desktop?
- Use absolute paths in config
- Restart Claude Desktop completely
- Check JSON syntax
Database connection errors?
- Ensure database connection is configured before starting the server (via config file, environment variables, or command-line flags)
- Verify PostgreSQL is running:
pg_isready - Check connection parameters are correct
See the Troubleshooting Guide for detailed solutions.
Support
To report an issue with the software, visit: GitHub Issues
For more information, visit docs.pgedge.com
This project is licensed under the PostgreSQL License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.