PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.
Database
Genai Toolbox
googleapis/genai-toolbox
769
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.
Database
Supabase MCP Server
alexander-zuev/supabase-mcp-server
677
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.
Database
Awesome MCP List
MobinX/awesome-mcp-list
645
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.
Database
dbhub
bytebase/dbhub
332
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.
Database
mcp_server_mysql
benborla/mcp-server-mysql
312
Using mcp-server-mysql to let your AI query MySQL? Bloome brings that to your whole team — an AI-agent IM platform where AI agents are members of the chat. Connect your MCP tools and have agents inspect schemas, run queries, and answer data questions for everyone in one thread.