Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
⚠️ This implementation stores OAuth credentials in ./mnt/mcp-creds/ which are currently committed to the repository. Proper OAuth flow for MCP servers is coming soon to the Agencii platform.
The Open Source Analytics and Visibility Layer for ChatGPT Apps and MCP Apps.
The AI Config Plaza. Stop configuring AI tools from scratch. Discover, share, and one-click install verified configurations for MCP servers, Agents, and Prompts.
Git-native API client with encrypted secrets.
Making AI coding assistants experts at Swift and iOS development.
本项目是一个本地 Streamable HTTP MCP Server，用于把 WMPFDebugger 暴露的裸 Chrome DevTools Protocol WebSocket 包装成 MCP 工具，辅助 Codex / Cursor / VS Code Agent 对已授权调试的微信小程序进行安全评估、证据采集和报告整理。
A library built on top of the MCP TypeScript SDK that makes it easier to implement MCP with auth into your MCP client and/or server.
Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code.
A CLI tool for managing MCP servers configurations for MCP clients.
OpenPets is a native macOS desktop pet for visible agent progress, review prompts, completion states, and lightweight animations across local coding tools.
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core 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。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!