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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
Ti*k*Z is a wonderful awesome graph drawing package for TeX/LaTeX/ConTeXt. Unlike other TeX packages, TikZ itself is really huge, its manual contains about 1100+ pages, 100+ chapters.
Beautiful UI components built for Better Auth.
Github开源项目:每月📈飙升榜 top30,每月1号早上8点更新
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A 🇨🇳 and 🇺🇸🇬🇧 translator in your command line, powered by iciba, youdao and LLM.
A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
Your AI skills and agents, finally organized.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.