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python_mcp_agent

MCP.Pizza Chef: dabidstudio

python_mcp_agent is a Python-based MCP client designed to interact with MCP servers for YouTube content analysis. It enables functionalities such as YouTube search, video summarization, and channel analytics by connecting to MCP servers and leveraging APIs like OpenAI and YouTube Data API. This client facilitates building AI agents that can perform multi-step reasoning and real-time data interaction within the MCP ecosystem.

Unmaintained · No commits in 17 months.

Use This MCP client To

Search YouTube videos via natural language queries Summarize YouTube video content automatically Analyze YouTube channel statistics and metadata Integrate YouTube data with LLM workflows Connect OpenAI and YouTube APIs for enriched context Build AI agents for multimedia content analysis

README

파이썬으로 MCP Agent 만들기

YouTube 검색, 요약, 채널 분석 기능을 갖춘 유튜브 에이전트를 MCP로 구현한 예제입니다.

MCP (Model Context Protocol) 소개

  • AI가 외부 데이터의 도구(Tools)에 효과적으로 연결할 수 있는 표준화된 방식
  • 특히 다양한 도구의 표준화된 연결로 많이 활용되고 있음
    • MCP Server: 사용할 수 있는 도구(tool)를 정의하고 제공하는 역할
    • MCP Client: 정의된 도구를 불러와 사용 (Claude Desktop, Cursor, OpenAI Agents SDK)
  • 이번 예제에서는 유튜브 컨텐츠 분석을 위한 MCP Server를 만들어보고, OpenAI Agents SDK 기반의 MCP Client와도 연결해볼 예정입니다.

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초기 셋팅

  1. 레포지토리 clone 또는 다운로드하기

    git clone https://github.com/dabidstudio/python-mcp-agent.git
cd python-mcp-agent

  2. OpenAI 키 발급

  3. YouTube Data API Key 발급

  4. .env.example를 복사한 후 API 키를 입력하고 .env로 저장

    OPENAI_API_KEY=api키_입력
YOUTUBE_API_KEY=api_키_입력

  5. 파이썬 가상환경 설정

    python -m venv venv
venv\Scripts\activate # Mac은 source venv/bin/activate

  6. 패키지 설치

    pip install mcp openai-agents streamlit youtube-transcript-api python-dotenv requests

python_mcp_agent FAQ

How do I set up API keys for python_mcp_agent?
You need to obtain OpenAI and YouTube Data API keys, then configure them in a .env file as per the setup instructions.
Can python_mcp_agent work with other MCP servers?
Yes, it is designed to connect with any MCP server exposing compatible YouTube-related tools.
What programming language is python_mcp_agent built with?
It is implemented in Python, making it easy to customize and extend.
Does python_mcp_agent support real-time YouTube data fetching?
Yes, it uses YouTube Data API to fetch up-to-date video and channel information.
Is python_mcp_agent compatible with multiple LLM providers?
Yes, it can work with OpenAI, Claude, Gemini, and other LLM providers through the MCP client interface.
How can I extend python_mcp_agent with new YouTube features?
You can modify or add MCP server tools and update the client code to handle new endpoints or data formats.