Database Management MCP Servers
Discover our curated collection of MCP servers for database management. Browse 359 servers and find the perfect MCPs for your needs.
MindsDB
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Convex
Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.
Cognee
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Supabase Query
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Pg
Enables AI agents to discover, connect to, query, and understand PostgreSQL databases using the Model Context Protocol.
Qdrant
Connects language models to a Qdrant vector database for storing and retrieving information.
MySQL
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Neo4j
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Neon
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
OpenAI Gemini Llama Example
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.
Dbhub
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
MySQL
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
ClickHouse
Provides an MCP server to interact with ClickHouse databases.
Memory Service
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Alchemy
Connects large language models to relational databases, enabling exploration, query assistance, and data analysis.
Supabase
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Atlas
Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.
Pinecone
Enables reading and writing to a Pinecone index via the Model Context Protocol, facilitating retrieval-augmented generation (RAG).
Mongo
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Supabase
Connects Large Language Models to Supabase projects using the Model Context Protocol.
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