Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Enables AI to inspect SQL databases and analyze query performance.
Provides a secure, enterprise-grade Model Context Protocol (MCP) server for Google Cloud BigQuery, leveraging Workload Identity Federation for keyless authentication.
Enables Cursor to utilize a PostgreSQL database for storing model contexts.
Provides structured food hierarchy and nutrition data through a production-ready Model Context Protocol (MCP) server, integrating StreamableHTTP transport with MongoDB Atlas for scalable data delivery.
Provides long-term memory storage for conversational agents, accessible via a Model Context Protocol server.
Enables AI agents to interact with a PostgreSQL database through a secure, remote Model Context Protocol server.
Enables querying live Stripe data with natural language via CData JDBC Driver and Model Context Protocol (MCP).
Enables Claude Desktop to query live SAS Data Sets data through a read-only MCP server using CData JDBC Drivers.
Connects large language models to live MarkLogic data, enabling natural language querying through a Model Context Protocol interface.
Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).
Enables large language models to inspect PostgreSQL database schemas and execute read-only queries.
Provides secure, read-only access to PostgreSQL databases for AI assistants and MCP clients, enabling schema inspection and safe query execution.
Facilitates secure interaction with Microsoft SQL Server databases through an MCP server, enabling operations like connection, database switching, and read-only queries.
Provides a production-ready Model Context Protocol interface for SQL databases, enabling AI agents to interact with MySQL, MariaDB, PostgreSQL, and SQLite.
Enables querying Presto data from Claude Desktop using CData JDBC Drivers through a read-only Model Context Protocol (MCP) server.
Connects large language models to various databases using natural language.
Provides persistent memory functionalities for AI conversations through a Model Context Protocol server.
Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.
Streamlines common healthcare data pulls and analytics for value-based care, quality measures, and financial metrics.
Enables secure, traceable access to SQL Server databases for development teams directly from their IDEs using natural language commands.
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