database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2134개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a Node.js implementation of the Model Context Protocol SQLite server, offering an npx-based alternative for environments lacking Python's UVX runner.
Provides access to NebulaGraph 3.x using the Model Context Protocol.
Enables Large Language Models (LLMs) to build full-stack solutions by providing access to Aiven services like PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch.
Provides knowledge graph functionality for managing entities, relations, and observations in memory, with strict validation rules to maintain data consistency.
Provides secure database access capabilities for LLMs by integrating with MySQL databases.
Enables LLM applications to manage and query Nile databases, tenants, and users through a standardized interface.
Provides Unity Catalog Functions as Model Context Protocol tools for AI models.
Integrates SQL Server with Windsurf IDE using a standalone MCP server.
Enables Large Language Models to interact with and query Microsoft SQL Server databases.
Provides a Model Context Protocol (MCP) server to access Consul's functionalities through a standardized interface.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Enables schema operations for Microsoft Dataverse, facilitating the creation and management of tables, columns, relationships, and option sets via the Dataverse Web API.
Enables AI assistants to execute Python code within a persistent Django shell session.
Integrates AI agents with a knowledge graph database to provide persistent memory and contextual continuity for prompts.
Enables AI assistants and agents to manage Linode cloud resources through natural language interaction.
Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.
Connects AI assistants to IBM DB2 for i databases for querying and metadata inspection.
Provides a high-performance knowledge graph engine combining graph storage, semantic search, logical reasoning, and continuous learning for AI systems.
Provides a comprehensive suite of encoding-aware development tools, process management, and remote access capabilities for AI coding agents.
Provides an AI-native graph database combining a full ISO GQL query engine, built-in vector search, graph-native RAG, and agent memory in a single Rust binary.
Scroll for more results...