database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2133개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.
Enables LLMs to interact with SQL databases such as SQLite, SQL Server, and PostgreSQL, along with MongoDB.
Provides sophisticated tools for interacting with PocketBase databases, enabling advanced database operations, schema management, and data manipulation.
Stores and retrieves AI assistant interaction data using a Neo4j graph database.
Facilitates interaction with Redis, AWS Memory DB, and similar key-value stores for caching and data management.
Enables access to Oracle databases via the Model Context Protocol.
Exposes database schemas and tables via an MCP server using FastAPI, ODBC, and SQLAlchemy.
Facilitates interaction with dbt Docs via the Model Context Protocol.
Enables seamless integration with Trino and Iceberg for advanced data exploration and querying.
Implements a Model Context Protocol server for querying and analyzing healthcare data stored in the OMOP Common Data Model.
Connects to a TiDB serverless database using the Model Context Protocol.
Enables AI agents to interact with a Hasura GraphQL endpoint for API discovery, data fetching, mutations, aggregations, and health checks.
Provides a local Model Context Protocol server for client-driven project and task management using a SQLite database.
Execute KQL queries within AI prompts, analyze results, and visualize data from Kusto and Log Analytics.
Provides an MCP server to access UK parliamentary data and enhance research with semantic search capabilities.
Empower Large Language Models with full read-write access to PostgreSQL databases, enabling both querying and modification of content with robust safety controls.
Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.
Optimize PostgreSQL database performance with AI-powered query analysis, index recommendations, and health monitoring.
Provides a persistent memory system for AI robots to learn from experience.
Provides a shared memory system for multi-agent AI applications, enabling seamless knowledge retention and collaboration across diverse systems and machines.
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