发现我们为 database management 精心策划的 MCP 服务器集合。浏览 2134 个服务器,找到满足您需求的完美 MCP。
Enables interaction with Timeplus clusters through an MCP server, providing tools for querying, listing databases and tables, and managing Kafka topics and streams.
Enables interaction with Elasticsearch 7.x through the MCP protocol.
Enables Cursor and Windsurf to manage Supabase databases and execute SQL queries safely.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Enables agents like Cursor to interact with the Neon REST API through a lightweight MCP server.
Enables read-only queries for TDengine databases, allowing AI assistants to explore data and database structures.
Enables querying of Dataverse environments using SQL through the Model Context Protocol (MCP).
Provides administrators with a server to manage QueryPie instances, enabling monitoring and management capabilities.
Enables querying live Workday data from LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) interface.
Enables Large Language Models (LLMs) to read and write records in Feishu Base (飞书多维表格) databases.
Provides AI-IDEs with real-time access to PostgreSQL and Supabase database schemas through the Model Context Protocol.
Provides a local, offline memory server for AI agents, leveraging SQLite with advanced search capabilities.
Enables natural language querying and management of RisingWave streaming databases through AI assistants.
Enables AI models to query and retrieve comprehensive materials science data from the Materials Project database via a Model Context Protocol server.
Transforms documents into an intelligent, searchable knowledge base powered by semantic search and vector embeddings.
Convert any existing API into an MCP server to expose as tools for AI clients.
Compiles natural language skill definitions into validated OWL 2 ontologies for building deterministic AI agents.
Provides cognitive memory for AI agents, enabling automatic context recall, decision remembering, and contradiction detection.
Discovers hidden connections and semantic relationships within markdown vaults using AI-powered vector embeddings and PostgreSQL+pgvector.
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