Browse Skills

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

Trigger.dev – build and deploy fully‑managed AI agents and workflows

Cluster-wide network observability for Kubernetes. Captures L4 packets, L7 API calls, and decrypted TLS traffic using eBPF, with full Kubernetes context. Available to AI agents via MCP and human operators via dashboard.

Yet another WebUI for Nginx

Install, run and deploy your own decentralized AI agent service

MCP Server for Computer Use in Windows

Olares: An Open-Source Personal Cloud to Reclaim Your Data

Connect any AI model to 600+ integrations; powered by MCP 📡 🚀

One command brings a complete pre-wired LLM stack with hundreds of services to explore.

🧩 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.

Connect your browser to AI models. Just use Dia on Chrome, Arc or Firefox.

Plik is a temporary file upload system (Wetransfer like) in Go.

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

MCP Server for kubernetes management commands

A secure sandbox environment for malware developers and red teamers to test payloads against detection mechanisms before deployment. Integrates with LLM agents via MCP for enhanced analysis capabilities.

A Model Context Protocol (MCP) server for Kubernetes. Install: npx kubectl-mcp-server or pip install kubectl-mcp-server

Simple, modular, and observable Go framework for backend applications.

Open-source, AI-native, low-code platform for API orchestration, workflow automation, and AI agent integration across internal systems and SaaS products.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

MCP server for Docker

A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.

MCP Gateway is a reverse proxy and management layer for MCP servers, enabling scalable, session-aware stateful routing and lifecycle management of MCP servers in Kubernetes environments.