15 skills found
danny-avila / LibreChatEnhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.
ruvnet / ruflo🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration
UnicomAI / wanwuChina Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.
AmoyLab / Unla🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications.
jonigl / mcp-client-for-ollamaA text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
andrea9293 / mcp-documentation-serverMCP Documentation Server - Bridge the AI Knowledge Gap. ✨ Features: Document management • Gemini integration • AI-powered semantic search • File uploads • Smart chunking • Multilingual support • Zero-setup 🎯 Perfect for: New frameworks • API docs • Internal guides
spences10 / mcp-omnisearch🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
marcuspat / turbo-flowAdvanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud Shell, and more! Features 600+ AI subagents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent multi-agent swarms, coordinate autonomous workflows.
isuzu-shiranui / UnityMCPUnity Editor integration with Model Context Protocol (MCP) enabling AI assistants like Claude to interact with Unity projects. Features a TypeScript MCP server and C# Unity plugin with extensible command handler architecture, TCP/IP communication, and dynamic plugin discovery.
dannySubsense / youtube-mcp-serverA comprehensive Model Context Protocol (MCP) server providing real-time YouTube Data API access for AI assistants. Features 14 functions including intelligent content evaluation with technology freshness scoring for knowledge base curation.
Abhishekrajpurohit / motion-dev-mcpA MCP server providing offline Motion.dev documentation access and intelligent animation code generation for React, JavaScript, and Vue. Features multi-framework support, advanced search capabilities, and production-quality component generation through AI.
opensourceops / canny-mcp-serverCanny MCP Server for Canny API integration with AI Assistants. Features Jira linking, batch operations, ETA management, company MRR tracking, and PM-focused workflows.
NERVsystems / cotlibcotlib is a secure, high-performance Go library for parsing, validating, and generating Cursor-on-Target (CoT) XML messages. It features a comprehensive, embedded type catalog with metadata and XSD catalogue, robust validation logic, and LLM/AI-friendly search APIs. Designed for reliability, composability, and security.
aws-samples / sample-ecs-mcp-serverThis sample demonstrates how to deploy an Agentic AI architecture using AWS Fargate for Amazon ECS with AWS CDK. The sample features an AI Service that connects to multiple Model Context Protocol (MCP) servers to perform various actions
UjjwalSaini07 / MCP-Quantum-ServerSeamlessly 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 custom alerts via email, ensuring smarter workflows.
