发现我们为 database management 精心策划的 MCP 服务器集合。浏览 2133 个服务器,找到满足您需求的完美 MCP。
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Enables AI models to interact with MySQL databases through a standardized Model Context Protocol interface.
Exposes Microsoft Exchange data to LLMs like Claude Desktop through a read-only MCP interface.
Exposes NetSuite data to Large Language Models (LLMs) through a Model Context Protocol (MCP) interface, enabling natural language querying.
Provides a Model Context Protocol server to access the Tsurugi database.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Enables data querying and export operations across diverse databases.
Provides AI-IDEs with real-time access to PostgreSQL and Supabase database schemas through the Model Context Protocol.
Provides a streamable HTTP server for ZenStack applications, enabling secure, auto-generated CRUD operations with integrated authorization and authentication.
Transforms raw text into interconnected knowledge graphs and autonomously generates insights through advanced pattern detection.
Provides a natural language interface for agentic applications to manage, monitor, and query data in CockroachDB.
Enables AI agents to interactively interrogate database schema metadata.
Provides an MCP server interface, enabling large language models to interact with Hydrolix clusters for executing SQL queries and introspecting database schemas.
Provides a comprehensive Model Context Protocol (MCP) server for interacting with Elasticsearch 7, 8, and 9 clusters.
Manages Datomic database connections and operations, including support for in-memory instances.
Manages standardized collection operations across multiple vector database technologies for AI agents.
Provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined within a Model Context Protocol (MCP) server.
Simplifies common tasks in Go development through a modular utility library.
Exposes LDAP directories via the Model Context Protocol (MCP) to enable client-side directory searches and CRUD operations.
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