Postgres MCP Server

0
0 Reviews
0 Stars
This MCP server allows large language models to interact with PostgreSQL databases by understanding schemas and executing queries, facilitating database management and data retrieval tasks.
Added on:
Created by:
Apr 28 2025
Postgres MCP Server

Postgres MCP Server

0 Reviews
0
0
Postgres MCP Server
This MCP server allows large language models to interact with PostgreSQL databases by understanding schemas and executing queries, facilitating database management and data retrieval tasks.
Added on:
Created by:
Apr 28 2025
Ron Houben
Featured

What is Postgres MCP Server?

The Postgres MCP Server is an experimental protocol server designed to enable large language models to interact seamlessly with PostgreSQL databases. It supports schema discovery, query execution, and data retrieval, making database interactions more intelligent and context-aware. Caution is advised as it is still in development and should not be used on production databases, especially for write operations. The server requires Node.js and specific environment setups for local installation and configuration, providing a developer-focused tool for integrating LLM capabilities with PostgreSQL systems.

Who will use Postgres MCP Server?

  • Developers working on database integration
  • Data scientists experimenting with LLM-db interactions
  • Database administrators exploring automated management
  • AI researchers building context-aware data tools

How to use the Postgres MCP Server?

  • Step 1: Install Node.js on your system
  • Step 2: Clone or download the MCP server repository from GitHub
  • Step 3: Run `npm install` to install dependencies
  • Step 4: Set necessary environment variables (`DATABASE_NAME`, `DATABASE_USER`, etc.)
  • Step 5: Start the server using the specified command, e.g., npm start
  • Step 6: Connect your LLM system to interact with the database through the MCP server

Postgres MCP Server's Core Features & Benefits

The Core Features
  • Schema discovery
  • Query execution
  • Schema-aware data retrieval
The Benefits
  • Enables LLMs to interact with databases intelligently
  • Supports schema understanding for targeted queries
  • Facilitates automated data management and analysis

Postgres MCP Server's Main Use Cases & Applications

  • Automated database querying with LLMs
  • Schema-aware data extraction
  • Prototyping intelligent database management tools
  • AI-powered data analysis and reporting

FAQs of Postgres MCP Server

Developer

  • RonHouben

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

Databases

A client for managing and interacting with MCPs in Chainlit, enabling database queries, view management, and database setup.
A tool that detects, records, and documents schema changes in Supabase PostgreSQL databases automatically.
A client tool designed to facilitate SQL query management and database interactions for enterprise users.
A MCP to enable natural language expense analysis and querying on SQLite databases for expense records.
A Python-based MCP client for PostgreSQL, enabling seamless integration of PostgreSQL databases into MCP workflows.
A server to enable secure and high-performance access to Alibaba Cloud PolarDB clusters using MCP protocol.
A command-line MCP client enabling natural language interactions with SQLite databases through LLM API.
A server that enables direct SQL query execution on PostgreSQL databases, supporting parameterized queries and timeouts.
A Go-based MCP server enabling AI models to interact with MySQL databases for querying and management.
A server enabling natural language interaction with OpenSearch clusters for health, indexing, and search management.