Discover our curated collection of MCP servers for database management. Browse 1604servers and find the perfect MCPs for your needs.
Indexes local code into a graph database to provide context to AI assistants.
Generate browsable HTML archives from compressed data dumps of link aggregator platforms, including Reddit, Voat, and Ruqqus.
Transforms natural language questions into SQL queries using graph-powered schema understanding.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
Provides database access capabilities to Claude, supporting SQLite, SQL Server, and PostgreSQL databases.
Enables enhanced MySQL operations with anomaly analysis and custom tool extension capabilities.
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Implements the Model Control Panel (MCP) protocol to interact with Apache Doris databases, enabling tasks like query execution and metadata management.
Manage and interact with databases directly within VS Code, combining the power of databases with the convenience of a code editor.
Enables interaction with Elasticsearch clusters using natural language commands through a Model Context Protocol (MCP) server.
Enables natural language queries to retrieve data from databases by converting them into SQL.
Provides access to Milvus vector database functionality through the Model Context Protocol (MCP).
Enables Snowflake Cortex AI capabilities, object management, and SQL orchestration within the Model Context Protocol ecosystem for seamless integration with AI agent clients.
Enforces SQL best practices through over 120 static code analysis rules for SQL Database Projects.
Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.
Empowers AI assistants to programmatically interact with Power BI models, enabling them to read model structures, execute DAX queries, and manage various model components through natural language.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.
Enables Large Language Models (LLMs) to directly interact with MongoDB databases using natural language.
Enables interaction with Snowflake databases through a Model Context Protocol (MCP) server, facilitating SQL query execution and data insight memo management.
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