Discover our curated collection of MCP servers for database management. Browse 1319servers and find the perfect MCPs for your needs.
Enhances AI assistants with persistent conversation context, project history, and code relationships across sessions.
Bridges AI assistants to Microsoft SQL Server databases for querying and exploration.
Analyze data and gain insights by connecting to various data sources and running SQL queries using an AI-powered data analysis/BI tool.
Provides a Metadata Change Proposal (MCP) server implementation for data governance.
Manage Appwrite project resources including databases, users, functions, and teams through an intelligent Model Context Protocol server.
Enables natural language querying of PostgreSQL databases using Ollama's LLM and the Model Context Protocol.
Provides comprehensive tools for interacting with PocketBase databases, enabling advanced database operations, schema management, and data manipulation through the Model Context Protocol (MCP).
Enables Large Language Models to securely query and analyze Azure Cosmos DB data through a standardized interface.
Integrates Neo4j graph databases with Claude Desktop, enabling natural language interactions.
Enables interaction with a Nocodb database using the Model Context Protocol (MCP) to facilitate CRUD operations on Nocodb tables.
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
Enables natural language control of Upstash resources through the Model Context Protocol.
Provides read-only access to MySQL databases.
Connects AI assistants, developer IDEs, and data platforms to SurrealDB databases and SurrealDB Cloud.
Secures database queries through a multi-agent architecture using the A2A protocol, Agent Development Kit, and Model Context Protocol.
Enables querying of a hybrid graph and vector database using the Model Context Protocol for enhanced document retrieval.
Enables programmatic management of Supabase projects and organizations through a standardized interface.
Provides a Model Context Protocol (MCP) memory server with a DuckDB backend for knowledge graph storage and retrieval.
Implements long-term memory capabilities for AI assistants by leveraging PostgreSQL and pgvector for efficient vector similarity search.
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