Database Management MCP Servers
Discover our curated collection of MCP servers for database management. Browse 359 servers and find the perfect MCPs for your needs.
Supabase
Provides full administrative control over Supabase PostgreSQL databases through Cursor's Composer and Codeium's Cascade.
DataHub
Provides a Metadata Change Proposal (MCP) server implementation for data governance.
Adx
Enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
Hologres
Enables seamless communication between AI Agents and Hologres databases for metadata retrieval and SQL operations.
Supabase
Enables LLMs to query Supabase databases and understand their structure through a Model Context Protocol.
Chakra
Enables natural language interaction with databases and subscribed data shares using Anthropic's Model Context Protocol.
Cursor DB
Enables AI assistants to query and interact with Cursor IDE's project data, chat history, and composer information.
Unity Catalog
Provides Unity Catalog Functions as Model Context Protocol tools for AI models.
StarRocks
Bridges AI assistants with StarRocks databases, enabling direct SQL execution and database exploration.
Superset
Enables AI agents to programmatically connect to and control an Apache Superset instance.
Sqlite Literature Management
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Ctgov
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Keboola
Provides a Model Context Protocol (MCP) server for interacting with Keboola Connection, offering tools to list and access data from the Keboola Storage API.
MongoDB
Enables Large Language Models (LLMs) to inspect MongoDB schemas and execute aggregation pipelines.
ArangoDB
Facilitates database interactions with ArangoDB through a Model Context Protocol (MCP) server.
MSSQL
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Trino
Enables listing and querying Trino tables via the Model-Control-Protocol (MCP) using Python.
Datomic
Enables AI models to query a Datomic database using the Modex MCP library.
Postgres
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
Kuzu
Provides access to Kuzu databases for Large Language Models (LLMs) by enabling schema inspection and query execution.
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