PostgreSQL MCP Server (Model Context Protocol)

@VivekMalipatel

About PostgreSQL MCP Server (Model Context Protocol)

FastMCP Based MCP Server to Control Postgres

#postgresql #mcp #database #ai-integration

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Postgres_MCP_Server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".mcp"
      ]
    }
  }
}

Tools

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Overview

What is PostgreSQL MCP Server?

A FastMCP-powered Model Context Protocol server that gives AI assistants (Claude, Cursor, etc.) full, structured access to a PostgreSQL database — no SQL knowledge required from the user.

How to use PostgreSQL MCP Server?

Clone the repository, create a virtual environment, install dependencies from requirements.txt, and configure a .env file with database credentials. Then connect an MCP-compatible client (e.g., Claude Desktop) by adding the provided JSON block to its MCP config file. Alternatively, run manually with python postgres_mcp_server.py.

Key features of PostgreSQL MCP Server

Exposes database as MCP Resources (read-only) and MCP Tools (read/write)
Parameterised queries throughout — no SQL injection
Structured stdout logs on every tool/resource call
Schema inspection: list tables, column definitions
Read/write/DDL operations via tools
Raw SQL execution via the execute_query tool

Use cases of PostgreSQL MCP Server

AI assistant querying database in natural language
Automated schema exploration and data preview
Performing insert, update, delete operations through conversational interface
Creating and dropping tables via AI assistant

FAQ from PostgreSQL MCP Server

What transport does PostgreSQL MCP Server use?

The server uses stdio transport (MCP protocol over standard input/output).

What are the runtime requirements?

Python 3.8+ and a PostgreSQL server (local or remote) with the uv package runner (recommended) or pip.

How are database credentials configured?

Via a .env file with POSTGRES_HOST, POSTGRES_PORT, POSTGRES_DB, POSTGRES_USER, and POSTGRES_PASSWORD, or directly in the client config's env block.

What dependencies are required?

mcp[cli], asyncpg, psycopg2-binary, python-dotenv, httpx, uvicorn, and uv.

What are the limits on data access?

The postgres://data/{table_name} resource returns only the first 100 rows as a safe preview. Other tools allow configurable limits.

Frequently asked questions

What transport does PostgreSQL MCP Server use?

The server uses stdio transport (MCP protocol over standard input/output).

What are the runtime requirements?

Python 3.8+ and a PostgreSQL server (local or remote) with the `uv` package runner (recommended) or `pip`.

How are database credentials configured?

Via a `.env` file with `POSTGRES_HOST`, `POSTGRES_PORT`, `POSTGRES_DB`, `POSTGRES_USER`, and `POSTGRES_PASSWORD`, or directly in the client config's `env` block.

What dependencies are required?

`mcp[cli]`, `asyncpg`, `psycopg2-binary`, `python-dotenv`, `httpx`, `uvicorn`, and `uv`.

What are the limits on data access?

The `postgres://data/{table_name}` resource returns only the first 100 rows as a safe preview. Other tools allow configurable limits.

Comments

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