Descubre nuestra colección curada de servidores MCP para database management. Explora 1774 servidores y encuentra los MCP perfectos para tus necesidades.
Enables the Cursor IDE to interact with TiDB AI.
Enables connection to and interaction with multiple database systems through a unified interface.
Enables read-only access to PostgreSQL databases with enhanced multi-schema support for Model Context Protocol.
Provides tools to interact with a ClickHouse database, including running queries and listing databases and tables.
Retrieves real-time information from Pure Storage FlashBlade arrays.
Enables natural language interaction with databases using language models served through Ollama.
Provides a modern, open-source analytics stack designed for data-driven organizations.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Generates MySQL test data for local development environments.
Enables LLMs to query live Microsoft Project data through a simple MCP interface.
Enables comprehensive management and integration with QuickBase applications through a Model Context Protocol (MCP) server.
Enables Large Language Models (LLMs) to query live DocuSign data through a Model Context Protocol (MCP) interface by leveraging CData JDBC Drivers.
Provides a model context protocol server for retrieval-augmented generation queries against a text-based knowledge base.
Provides an interactive SQL learning environment by connecting Claude with PostgreSQL for dynamic data generation and query execution.
Empowers AI agents with persistent memory by integrating with the PolyNeural.ai knowledge graph platform.
Enables MCP Clients to query databases and API endpoints using natural language by abstracting data products and generating proper queries.
Transforms natural language queries into Cypher to retrieve information from a knowledge graph and provide contextual answers.
Enables AI assistants to browse, search, and query Finnish statistical data from Statistics Finland's StatFin database.
Establishes a universal microservices foundation with storage-agnostic APIs, supporting relational, document, cloud, and embedded database engines.
Enables Large Language Models to interact with PostgreSQL, SQLite, and MySQL databases.
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