Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP Server implementation of the DnD 5e API using resources, tools, and prompts.
This project provides an Interactive Brokers (IB) API interface using the Model Context Protocol (MCP).
High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.
Educational repo for MCP streamable HTTP servers and clients
23-tool MCP server for CVE & vulnerability intelligence. NVD, EPSS, CISA KEV, GitHub Advisory, OSV — unified in one server. Risk scoring, bulk triage, exploit search. 2 dependencies, runs with npx.
Unified MCP server for Higgsfield AI: official API + opt-in web backend, 27 image and video models including Sora 2, Veo 3, Kling 3.0, Seedance, Soul, DOP, Nano Banana.
Albert Heijn MCP server for AI assistants
Wealthy-MCP
A Model Context Protocol (MCP) server that provides tools for interacting with Gmail and Calendar APIs.
Inkscape MCP Server - Control Inkscape through AI assistants via Model Context Protocol
This project lets AI tools like Claude look up any Pine Script function, search TradingView documentation, find code examples, and browse guides — all in real time while you chat.
MCP Server for Trino developed via MCP Python SDK
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!