Descubre nuestra colección curada de servidores MCP para database management. Explora 2133 servidores y encuentra los MCP perfectos para tus necesidades.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Provides an MCP server to interact with ClickHouse databases.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
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 secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Connects Elasticsearch data to any Model Context Protocol (MCP) Client, enabling natural language interaction.
Exposes databases to AI agents and LLM-powered applications via MCP or OpenAPI 3.1 protocols.
Enables AI agents to manage and search data within Redis using natural language.
Connects to MongoDB databases and MongoDB Atlas clusters via the Model Context Protocol.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Transforms natural language questions into SQL queries using graph-powered schema understanding.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Provides a high-performance, Neo4j-compatible graph database designed for AI agents, offering intelligent features like native embeddings, GPU-accelerated search, and automated relationship discovery.
Empowers AI agents with a lightweight, roll-backable, and visualized external memory system for persistent, structured knowledge.
Connects AI assistants to various databases, enabling natural language querying and analysis through the Model Context Protocol (MCP) and HTTP API.
Provides comprehensive command-line control for PlanetScale Database, managing branches, deploy requests, and other database operations.
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