MCP Servers
72,220 MCP servers for AI apps. Filter by category, badge and popularity.
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Git-driven MCP server for managing prompt templates with Handlebars support. Store prompts in Git, sync automatically, and use dynamic templates in Cursor, Claude Desktop, and other MCP clients. Features hot-reload, group filtering, version management, and Docker/Kubernetes deployment.
Advanced Local Prompt Intelligence Engine with complete privacy and sophisticated content analysis. Features cross-platform support (Windows, macOS, Linux), binary optimization, and dual-tier processing: AI-aware rules engine + optional LLM enhancement. 100% local processing ensu
Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custo
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector search. It enables AI models to retrieve and process documentation, allowing for
A Model Context Protocol (MCP) server that provides seamless integration with Redmine project management software. This server allows AI assistants to interact with Redmine through a comprehensive set of tools for managing projects, issues, users, time tracking, and more.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
