Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Интеграционный сервер, использующий Model Context Protocol (MCP), для предоставления доступа к данным и функциям Bitrix24 для больших языковых моделей (LLM) и других AI-агентов.
This repository contains Python code examples for the Coursera course "AI Agents with Model Context Protocol."
An MCP (Model Context Protocol) server for AI voice synthesis with an inline audio player. Give your AI assistant a custom cloned voice!
An extension to MCP (Model-Context-Protocol) that enables two-way asynchronous communication between LLMs and tools through the already existing MCP transport - no additional transport layer needed.
Complete agent workflow: user input → tool approval → execution → streaming response
Official BaseHub MCP server.
An example of the Epic Stack with a /mcp endpoint
Let AI agents do real WordPress work via MCP. 61 core abilities, 12 add-ons, 280+ ecosystem abilities for content, builders, SEO, security, files, and operations.
Hands-on Workshop on Building AI Agents with Strands, MCP, and Temporal
A Slack AI assistant powered by Claude 3.5 Sonnet that combines Microsoft's enthusiasm with modern AI capabilities.
Open Source MCP gateway and proxy for Model Context Protocol (MCP) servers with enterprise authentication and service discovery
This repository demonstrates how to secure a Model Context Protocol (MCP) server using OAuth 2.1 authorization flows, implemented entirely with Node.js and Express.js.
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!