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MCP Servers
Get your projects MCP (Model Context Protocol) badges
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
Command-line interface for any Model Context Protocol (MCP) server.
An Envoy-based gateway for Model Context Protocol (MCP) servers, enabling aggregation and routing of multiple MCP servers behind a single endpoint.
This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).
Open Source Observability Platform for MCP Servers & Apps
Full documentation is available at buildkite.com/docs/apis/mcp-server.
This is a MCP designed to manage and interact with mobile devices and simulators. It provides utilities for tasks such as app installation, device management, and log retrieval for iOS and Android...
A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.
The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
Agent Skills
Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
A curated collection of JavaScript snippets to measure and debug Web Performance directly in your browser's DevTools console.
— The node schema bundled with n8n-as-code is built against the latest stable release of n8n. Keep your n8n instance up to date for best generation and validation results.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!
is the open-source, MIT-licensed agent skill powered by the world's first agentic AI user researcher.
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
Website • Getting Started • Documentation • Community
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Beautiful React Native components. One command away.
Get your animations easily done with only Tailwind CSS classes.
When Codex starts feeling heavy after weeks of chats, terminals, logs, worktrees, and project history, this gives you a calm way to inspect what is going on and reduce local drag.