发现我们为 database management 精心策划的 MCP 服务器集合。浏览 1604 个服务器,找到满足您需求的完美 MCP。
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
Manages grocery lists via simple CRUD operations, leveraging a Firebase Firestore backend.
Demonstrates how to build and use different types of Model Context Protocol (MCP) servers, including database search, GitHub search, and time services.
Enables large language models to inspect PostgreSQL database schemas and execute read-only queries.
Enables running SQL queries and exposes data insights and schema context from Snowflake databases.
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
Manages long-term agent memory and serves as a Python template for building Model Context Protocol servers.
Facilitates LLMs in querying and analyzing data across multiple disparate MySQL data sources, offering robust enterprise data federation.
Facilitates connecting large language models to live Quickbase data through a Model Context Protocol (MCP) server.
Locates and interacts with PostgreSQL databases used by MCP servers.
Enables secure interaction with MySQL databases for AI assistants through a controlled interface.
Provides secure and controlled access to SQLite databases through a standardized Model Context Protocol interface.
Enables AI assistants to interact with Metabase, providing access to resources, data execution, and management capabilities.
Connects to and manages Notion API data, pages, and databases via the Model Context Protocol.
Query Feyenoord football match data using natural language with this Model Context Protocol (MCP) server.
Integrates Odoo 19 with AI clients using the Model Context Protocol (MCP) via its JSON-2 API for dynamic data access and operations.
Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage.
Enables natural language querying of Oracle Autonomous Databases by generating SQL and performing vector searches.
Provides SQLite-backed memory for agents, featuring a CLI and programmatic API for robust storage and retrieval of information.
Enables large language models to query live Oracle Service Cloud data through a Model Context Protocol (MCP) interface.
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