What are the runtime requirements for PostgreSQL MCP Server?
Node.js and npm are required. Access to a PostgreSQL database (host, port, credentials) is also needed.
@assadnasser
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A Model Context Protocol (MCP) server that enables AI agents and applications to connect to PostgreSQL databases. It exposes resources, tools, and prompts for querying, managing schemas, and monitoring database activity via an SSE endpoint.
Clone the repository, install dependencies (npm install), copy the .env.example to .env, configure environment variables (e.g., PGHOST, PGUSER, PGPASSWORD), and start the development server with npm run dev. Connect via the SSE endpoint at /sse and use the provided tools and prompts to interact with your PostgreSQL database.
Node.js and npm are required. Access to a PostgreSQL database (host, port, credentials) is also needed.
Credentials (host, port, user, password, database name) are passed as parameters to the MCP tools (e.g., `query`, `test-connection`) in each request.
By default, query history is stored in memory. If `REDIS_URL` is provided, history is persisted in Redis.
Yes. The server is compatible with Vercel deployment. For production, configure a Redis URL for persistent storage.
It exposes resources (database schema, table structure, query history), tools (execute SQL, list tables, describe table, get stats, clear history), and prompts (generate query, analyze query, explain schema).
Local MCP server for DuckDB and MotherDuck
A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.

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Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

Model Context Protocol Servers
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