database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1343개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides an AI assistant application integrating FastMCP, MongoDB Atlas, and an LLM endpoint with direct MCP tool calling capabilities.
Provides persistent memory functionalities for AI conversations through a Model Context Protocol server.
Enables AI agents to interact with multiple PostgreSQL databases using the Model Context Protocol (MCP).
Enables Claude to interact with and manage data across SQLite, SQL Server, PostgreSQL, and MySQL databases.
Enables AI systems to connect to and query MySQL databases through the Model Context Protocol.
Provides an MCP server to interact with a Calibre e-book library, enabling search and retrieval of book metadata.
Integrates Qdrant, Neo4j, and Crawl4AI to provide intelligent AI coordination through vector and graph intelligence.
Integrates the Notion API with the Model Context Protocol, enabling AI agents to interact with Notion content and structure.
Provides a Model Context Protocol server enabling Large Language Models to inspect, read, and write data within Airtable databases.
Provides a Model Context Protocol server for seamless interaction with MongoDB Databases and MongoDB Atlas.
Provides an MCP server interface for PostgreSQL database introspection and analysis.
Serves Google Cloud Datastore with simple query and management capabilities via the Model Context Protocol (MCP).
Provides secure time-based operations with timing attack protection and timelock encryption.
Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).
Provides a unified Docker package containing 14 diverse Model Context Protocol servers for AI model integration.
Provides a PostgreSQL database query service for retrieving FAQ and system menu data.
Curates a comprehensive list of over 50 Model Context Protocol servers designed to extend AI capabilities across diverse domains.
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
Establishes a foundational server environment using standard I/O for integrating Model Context Protocol functionalities.
Enables natural language interaction with SQLite databases through a web-based chat interface.
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