database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1735개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables reading and writing to a Pinecone index via the Model Context Protocol, facilitating retrieval-augmented generation (RAG).
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
Provides safe, read-only access to SQLite databases for exploration and querying by Large Language Models (LLMs).
Enables AI assistants to interact with Metabase, providing access to data and analytical tools.
Executes MySQL database queries and streams the results via Server-Sent Events (SSE).
Provides a Model Context Protocol (MCP) server for streamlined PocketBase database interactions.
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Bridges AI assistants with StarRocks databases, enabling direct SQL execution and database exploration.
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
Provides AI agents with robust, reliable access to Microsoft SQL Server databases using the Model Context Protocol.
Manages persistent context for AI coding assistants within an MCP server environment.
Implements a sophisticated database design for Artificial General Intelligence (AGI) memory management, featuring multiple storage and retrieval mechanisms inspired by human cognitive architecture.
Empowers AI assistants to interact with Power BI datasets using natural language.
Provides a unified knowledge graph and shared memory storage for connecting AI agents and multi-agent systems.
Connects MCP-compatible clients to diverse databases like MySQL, PostgreSQL, Oracle, and SQL Server, offering advanced features beyond basic connectivity.
Provides professional, read-only operations and monitoring for PostgreSQL databases, offering performance insights, structure visibility, and configuration details.
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