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An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes
An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.
An AI-powered Job Recommender Agent built using the Model Context Protocol (MCP) to provide personalized job recommendations using LLMs and external tools.
mcp-jobs-recommender-agent/ ├── app.py ├── main.py ├── mcp_server.py ├──
requirements.txt └── README.md
git clone https://github.com/jsuryanm/mcp-jobs-recommender-agent.git cd
mcp-jobs-recommender-agent pip install -r requirements.txt
streamlit run app.py
Python, MCP, Groq, Apify Client ,Streamlit
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Выполни в терминале:
claude mcp add mcp-jobs-recommender-agent -- npx Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
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