Enables AI models to interact with PostgreSQL databases through a standardized protocol.
Enables AI models to interact with PostgreSQL databases through a standardized protocol.
This project implements a Model Context Protocol (MCP) server that connects to a PostgreSQL database. It allows AI models to interact with your database through a standardized protocol.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| query | Execute SQL queries with retry logic |
| Variable | Description | Required |
|---|---|---|
| DB_USER | Configuration value read at startup. | Optional |
| DB_PASSWORD | Configuration value read at startup. | Optional |
| DB_HOST | Endpoint or connection string the server talks to. | Optional |
| DB_PORT | Configuration value read at startup. | Optional |
| DB_NAME | Configuration value read at startup. | Optional |
| DB_CREDENTIALS | Configuration value read at startup. | Optional |
Inspect PostgreSQL schemas and run read-only queries with the archived MCP reference server. Review its maintenance status before choosing it.
Connect the Notion MCP server to search workspace content and work with pages and databases through Notion’s hosted OAuth service.
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A Python utility package for building Model Context Protocol (MCP) servers.
Read-only VibeRaven guides: explain a finding, search launch guides, get a Supabase checklist.