Pgsql MCP Server
P

Pgsql MCP Server

A PostgreSQL database interaction tool server based on the Model Context Protocol (MCP), supporting high-performance asynchronous operations and transaction safety.
2.5 points
10.2K

What is PgSQL MCP Server?

PgSQL MCP Server is a tool server built on the FastMCP framework, which allows users to interact with the PostgreSQL database through MCP calls. The server uses the SQLAlchemy and asyncpg libraries to provide efficient asynchronous database operation capabilities.

How to use PgSQL MCP Server?

After installation, simply configure the database connection string (DSN) to start the server. You can use the MCP Inspector tool for visual debugging and test calls.

Applicable scenarios

Suitable for application development scenarios that require efficient interaction with the PostgreSQL database, especially projects that require asynchronous operations and transaction security.

Main features

Asynchronous and efficient operation
A fully asynchronous and high-performance PostgreSQL driver implemented based on asyncio and asyncpg
Transaction safety
All DDL, DML, and DCL operations are executed within a transaction, with error handling and rollback mechanisms
Easy deployment
The server can be started through a simple command-line interface
Advantages
High-performance asynchronous operations, suitable for high-concurrency scenarios
Provides transaction safety guarantees to ensure data consistency
Simple and easy-to-use deployment method
Limitations
Only supports the PostgreSQL database
Requires a Python 3.8+ environment
May require a certain learning cost for non-technical personnel

How to use

Installation
Ensure that Python 3.8+ is installed. It is recommended to use uvx for installation.
Debugging and testing
Use the MCP Inspector tool for visual debugging.

Usage examples

Quickly start the development environment
Developers can quickly set up a development environment for interacting with PostgreSQL
Visually debug database operations
Use the MCP Inspector tool to visually debug database operations

Frequently Asked Questions

What version of Python is required?
Which databases are supported?
How to debug the server?

Related resources

PyPI package page
Official PyPI package release page
GitHub repository
Project source code and issue tracking
MCP Inspector tool
A visual tool for debugging the MCP server

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.3K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.1K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.5K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase