database management向けの厳選されたMCPサーバーコレクションをご覧ください。1578個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.
Exposes JDBC database functionalities through the Model Context Protocol (MCP).
Enables AI agents to interact with Google BigQuery databases via natural language queries and schema exploration.
Enables AI models to query and retrieve comprehensive materials science data from the Materials Project database via a Model Context Protocol server.
Provides AI models with structured access to Trino's distributed SQL query engine via the Model Context Protocol.
Execute read-only MySQL queries for AI assistants and tools using the Model Context Protocol.
Manages aaPanel server instances by providing remote access to system information, website configurations, databases, Docker containers, and email accounts.
Enables AI assistants to interact with Meilisearch through a standardized Model Context Protocol (MCP) interface.
Provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Apache Druid clusters through the Model Context Protocol.
Demonstrates integration of Azure OpenAI-based AI agents with Microsoft Fabric data warehouses through GraphQL using the Model Context Protocol (MCP).
Provides semantic search capabilities by leveraging a local Qdrant vector database and OpenAI embeddings.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Enables LLM agents to interact with Gel databases using EdgeQL queries for automated schema learning, query writing, validation, and execution.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Optimizes PostgreSQL operations with 63 AI-native tools for query optimization, index tuning, EXPLAIN analysis, and comprehensive database health management.
Provides Large Language Models transparent access to ODBC-accessible data sources.
Connects to PostgreSQL databases, executes read-only SQL queries, and provides detailed table information through MCP-compatible clients.
Enables AI agents to interactively interrogate database schema metadata.
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Enables AI assistants to interact with Apache Solr for search, indexing, and management tasks.
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