chu2bard

chu2bard / pgmcp

Public

MCP server for PostgreSQL database operations

database go mcp postgresql server
15
0
69% credibility
Found Feb 11, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

pgmcp is a lightweight tool that enables AI assistants to interact with PostgreSQL databases by offering functions to run queries, list tables, describe structures, explain query plans, and apply migrations.

How It Works

1
🔍 Discover pgmcp

You hear about pgmcp, a simple bridge that lets friendly AI helpers safely explore and manage your PostgreSQL database.

2
🔗 Share database details

You tell the bridge where your database lives, its name, and your login info so it can connect securely.

3
🚀 Launch the bridge

You start the bridge with ease, and it springs to life, ready to link your database to AI magic.

4
💬 Talk to your AI helper

You chat with your AI, asking it to peek at tables, describe data shapes, or fetch specific info.

5
📊 See amazing results

Your AI pulls data, shows plans for questions, or makes safe updates, delivering clear answers instantly.

🎉 Effortless data power

Your database now works hand-in-hand with AI, handling tasks quickly so you focus on what matters.

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AI-Generated Review

What is pgmcp?

pgmcp is a lightweight Go-based MCP server that connects to PostgreSQL databases and exposes practical tools over stdio via JSON-RPC, like running queries, listing tables, describing schemas, explaining execution plans, and applying migrations. Set your Postgres env vars (PGHOST, PGUSER, etc.), run the binary, and AI clients can safely interact with your database—no complex setup needed. It solves the gap for developers wanting AI-driven database ops in tools like GitHub Copilot for VSCode or IntelliJ.

Why is it gaining traction?

In the growing MCP ecosystem—think mcp github copilot integrations, mcp server ai agents in n8n, or even mcp github project manager workflows—this stands out with dead-simple Postgres-specific tools that handle queries, EXPLAIN ANALYZE, and transactional DDL without bloat. Developers grab it for quick mcp server examples or tutorials, especially versus heavier mcp server python alternatives, as Go delivers a snappy, single-binary deploy (docker-friendly too). Low overhead means it slots into mcp github registry lists effortlessly.

Who should use this?

Backend devs building AI agents that query Postgres, like mcp github issues bots or mcp server sap connectors needing schema introspection. AI enthusiasts tweaking GitHub Copilot in VSCode/IntelliJ for database debugging, or n8n users automating mcp server erstellen flows. Skip if you're deep in mcp github python stacks—stick to Go fans wanting mcp server list tools.

Verdict

With 15 stars and a 0.699999988079071% credibility score, pgmcp is raw early-stage—basic README, no tests or Docker image—but its MIT-licensed tools work out of the box for Postgres MCP experiments. Worth a spin if you're prototyping mcp server github/database AI; otherwise, wait for polish.

(198 words)

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