Install, run and deploy your own decentralized AI agent service
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects with intelligent agent workflows.
A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge bases to DAWs, home automation to development tools. Includes system prompts, Dockerfiles, and workflows for a complete AI assistant ecosystem.
DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Server for API usage and designed to support OpenWebUI OpenAPI Tool use.
A comprehensive tool to manage Model Context Protocol (MCP) configurations for Claude code
A comprehensive project template for vibe coding in Cursor with pre-configured AI tooling, MCP servers, and intelligent development workflows
Shell scripts to automatically set up old versions of MCP and FML
A minimal, zero-dependency terminal MCP (Model Context Protocol) client built for coding agents like OpenAI Codex.
⭐ Curated collection of high-quality Model Context Protocol (MCP) servers
Agentic Operations & Observability Workshop: Hands-on guide for implementing AI-enhanced observability in cloud apps using Azure Monitor, Application Insights, and Azure SRE Agent. Covers metrics, logs, traces, multi-cloud monitoring, and agentic DevOps best practices.
Terminal command to manage and control your projects.
Add a description, image, and links to the mcp topic page so that developers can more easily learn about it.
To associate your repository with the mcp topic, visit your repo's landing page and select "manage topics."