Discover and integrate database MCP servers to extend Claude's capabilities
40 database MCP Servers Available
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
MCP Server for structured and standardized querying of watch-related metadata such as brands, families, and reference details from WatchBase.com.
Japanese Vocab Anki MCP Server
Connect AI agents to the Paradex trading platform. Retrieve market data, manage accounts, and execute trades seamlessly. Enhance your trading experience with automated tools and real-time insights.
A simple MCP ODBC server using FastAPI, ODBC and PyODBC.
making playlists got fun and easier wohoo. chat with claude and build personalized playlists. a spotify mcp server
Interact with lightning addresses and use other common lightning tools with your LLM
A NL2SQL plugin based on FocusSearch keyword parsing, offering greater accuracy, higher speed, and more reliability!
A MCP server that lists all available MCP services for easy copying and usage
MCP Database Server is a new MCP Server which helps connect with Sqlite, SqlServer and Posgresql Databases
Baidu Search MCP Server I A Model Context Protocol (MCP) server that provides web search capabilities through Baidu, with additional features for content fetching and parsing.
DreamFactory MCP Server enables AI assistants like Claude to directly query your databases through DreamFactory's auto-generated REST APIs.
This extension enables developers to implement the MCP server features easily.
AniList MCP server for accessing anime and manga data
A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
