database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1735개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables querying live Splunk data from Large Language Models (LLMs) using natural language through a Model Context Protocol (MCP) interface.
Provides read-only access to Datasette databases for AI assistants via the Model Context Protocol.
Facilitates seamless interaction for AI agents with Firebase services through a standardized Model Context Protocol server.
Provides a Model Context Protocol server enabling introspection, management, and interaction with self-hosted Supabase instances.
Connects Large Language Models to live Square data, allowing natural language queries without direct SQL interaction.
Enables AI-powered IDEs to securely connect and interact with DigitalOcean managed databases using an API token.
Provides an enhanced Model Context Protocol server for Qdrant, enabling robust vector memory management with advanced performance and deployment features.
Automate PostgreSQL management, monitoring, security, diagnostics, and optimization through an AI-integrated server, offering 237+ specialized tools for AI assistants like Claude and ChatGPT.
Integrates Vertica Database capabilities into AI assistants and agents through a Model Context Protocol (MCP) server.
Enables Claude to maintain persistent long-term memory across conversations.
Enables AI assistants to manage MySQL databases and execute various operations using natural language commands.
Integrates Postgres database capabilities into AI-powered development environments via the Model Context Protocol.
Provides a standalone server for Snowflake operations, enabling agentic native workflows with AI assistants.
Provides a TinyDB-backed MCP server that offers drop-in long-term memory for chatbots and small-context LLM applications.
Integrates QuestDB with AI assistants by providing a Model Context Protocol server for high-performance time-series data interaction.
Integrates LangChain agents with diverse real-time data servers for intelligent tool calling, automated data storage, and secure AI-driven workflows.
Enables AI assistants to interact with NexusDB databases by exposing database operations as Model Context Protocol (MCP) tools and resources.
Transforms static SQLite databases into conversational entities, enabling natural language interaction for data management.
Empower AI agents and assistants to query, traverse, and mutate graph data by exposing Grafeo as a set of Model Context Protocol (MCP) tools.
Integrates data catalog tasks, collections, and master data management into the Gemini CLI using natural language.
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