Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connect specialized AI agents through a central REST API for tasks like code analysis, data fetching, and text summarization.
Creates short URLs using the U301 URL Shortener service.
Categorizes software tools into various areas like browser automation, design, and development.
Manages tasks through the Model Context Protocol (MCP).
Provides an MCP server implementation for Frappe.
Extends language models like Claude by providing access to external resources and tools via the Model Context Protocol.
Facilitates the setup and execution of MCP servers with custom tools.
Provides a basic server to assist large language models.
Categorizes various tools based on their functionality within the MCP Server ecosystem.
Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.
Implements Model Context Protocol servers in multiple languages for use with applications like Claude and Cursor.
Exposes Swagger/OpenAPI endpoints through the Model Context Protocol for AI agent accessibility.
Retrieves Wikipedia summaries for AI assistants using a FastAPI server.
Facilitates interaction between LLM applications and the Unsplash image library via the Model Context Protocol (MCP).
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Creates and manages Docker containers using the Model Context Protocol.
Enables AI systems to access real-time web search capabilities.
Manages an AWS Aurora Postgres server configured with the Pgvector extension.
Automates tasks by integrating Gmail and GitHub using an intelligent agent powered by OpenAI.
Provides a demonstration of MCP server capabilities.
Validates GitHub operation execution through a server integration.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Enables AI models to perform real-time web searches using OpenAI's web search preview feature.
Provides a server-side Message Control Protocol for AtendeAi.
Collects and submits usage statistics from AI code assistants for analysis and tracking.
Provides tools categorized for MCP Server applications.
Enables querying and adding of student information.
Manage and deploy server configurations and scripts.
Enables direct interaction with a CockroachDB database within Cursor using the Model Context Protocol (MCP).
Provides a Model Context Protocol (MCP) server for managing and serving custom prompts to Amazon Q.
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