Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Serves as a foundational FastAPI application demonstrating integration with the Model Context Protocol for client communication.
Provides a conversational AI REST API that intelligently answers user queries about movies using a multi-agent LangGraph workflow.
Manages airline crew data, qualifications, certifications, and automates pay calculations for regulatory compliance and operational efficiency.
Facilitates AI-accessible database operations for PostgreSQL and MongoDB, enabling intelligent applications to interact with data safely and efficiently.
Provides a Model Context Protocol server for seamless integration with the Cliniko practice management system.
Enables interaction with MS SQL Server databases through a conversational AI interface.
Integrates MongoDB databases with AI assistants, enabling natural language queries for CRUD operations, aggregations, and database management.
Enables natural language interaction with Upstash services through the Model Context Protocol.
Connects and interacts with PostgreSQL databases, offering structured access to data for analysis through resources, tools, and prompts.
Connects large language models like Claude Desktop to live Exact Online data via CData JDBC Drivers for natural language queries.
Provides AI-powered performance analysis and tuning capabilities for MySQL databases.
Exposes relational database operations as MCP tools, enabling LLMs and agents to securely query and manipulate data.
Exposes MongoDB data to LLMs like Claude Desktop through a read-only Model Context Protocol (MCP) server, leveraging CData JDBC Drivers.
Enables remote access to a PostgreSQL database via the Model Context Protocol (MCP) using Cloudflare Workers.
Provides structured safety data on food products and contaminants by accessing EFSA's OpenFoodTox database for chemical hazards.
Establishes a Rust-based server for managing and interacting with a PostgreSQL database, optionally configured with the pgvector extension.
Exposes Apache HBase data as a read-only Model Context Protocol (MCP) server for querying via Large Language Models.
Provides a Model Context Protocol (MCP) server for analyzing Trino database schemas and managing their structure.
Provides a server to interact with the PostgreSQL temporal_tables extension, enabling users to manage and explore historical data.
Integrates Senzing's entity resolution capabilities with AI assistants by exposing its SDK functionality via the Model Context Protocol.
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