-
securityA
license-
qualityA framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.
Last updated -
5
MIT License
Planned integration for accessing and potentially modifying Figma designs through the MCP server
Planned integration for accessing and managing Google Calendar events and schedules through the MCP server
Planned integration for interacting with Slack workspaces, likely enabling message sending and workspace management through the MCP server
MCP (Model Context Protocol) Tutorial
📚 학습 단계
Step 0: MCP 이해하기
- MCP 개념 및 구조
- Resources, Tools, Prompts 이해
- MCP Server, Host, Client에 대한 이해
- MCP vs 전통적인 API
- 통신 프로토콜 이해
Step 1: MCP Inspector 활용
- Inspector를 통한 테스트
- 기본 서버 구현 (examples/country_server/country_server.py)
- Inspector 사용법
- 세션 관리 및 통신 방식
Step 2: 외부 서비스 연동
- Google Calendar 연동 (진행 예정)
- Slack 연동 (진행 예정)
- Figma 연동 (진행 예정)
🚀 시작하기
- 외부 라이브러리는 fastmcp, mcp-agent를 사용한다.
환경 설정
기본 서버 실행
📁 프로젝트 구조 (초안)
🔗 참고 자료
공식 문서
커뮤니티 자료
- 간단하게 만들면서 이해해보는 MCP
- Awesome MCP Servers
- PyTorch KR Discussion
- https://www.dailydoseofds.com/p/visual-guide-to-model-context-protocol-mcp/
추가 학습 자료
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A tutorial MCP server implementation that provides country information, demonstrating the Model Context Protocol for building AI-powered applications with external service integration capabilities.
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