Discover our curated collection of MCP servers for database management. Browse 1578servers and find the perfect MCPs for your needs.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Connects to MongoDB databases and MongoDB Atlas clusters via the Model Context Protocol.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Provides an MCP server to interact with ClickHouse databases.
Connects Elasticsearch data to any Model Context Protocol (MCP) Client, enabling natural language interaction.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Exposes databases to AI agents and LLM-powered applications via MCP or OpenAPI 3.1 protocols.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.
Enables interaction with OpenSearch clusters using Python.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Enables AI agents to manage and search data within Redis using natural language.
Enables AI systems to interact with Airtable bases for reading and writing data.
Provides LLMs with a scalable knowledge graph memory system, enabling semantic retrieval, contextual recall, and temporal awareness.
Connects large language models to relational databases, enabling exploration, query assistance, and data analysis.
Enables AI assistants to interact with multiple databases simultaneously through a unified interface.
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