Prepare the server locally
Run this once before adding it to Claude Code.
git clone https://github.com/jsuryanm/mcp-jobs-recommender-agent.git
cd mcp-jobs-recommender-agent
pip install -r requirements.txtRegister it in Claude Code
claude mcp add -e "GROQ_API_KEY=${GROQ_API_KEY}" -e "APIFY_API_TOKEN=${APIFY_API_TOKEN}" jobs-recommender-agent -- python /path/to/mcp-jobs-recommender-agent/mcp_server.pyReplace any placeholder paths in the command with the real path on your machine.
GROQ_API_KEYAPIFY_API_TOKENMake your agent remember this setup
jobs-recommender-agent's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.
npx conare@latestFree · one command · indexes the sessions already on disk. Set up in the browser instead →
What it does
- MCP-based AI Agent architecture
- Smart job recommendations based on user profile
- Resume and skills matching capabilities
- External tool integrations via Model Context Protocol
Environment Variables
GROQ_API_KEYrequiredAPI key for Groq LLM servicesAPIFY_API_TOKENrequiredAPI token for Apify web scraping servicesTry it
Original README from jsuryanm/mcp-jobs-recommender-agent
MCP Jobs Recommender
An AI-powered Job Recommender Agent built using the Model Context Protocol (MCP) to provide personalized job recommendations using LLMs and external tools.
📌 Features
- MCP-based AI Agent
- Smart Job Recommendations
- Resume / Skills matching
- Tool integrations via MCP
🏗️ Project Structure
mcp-jobs-recommender-agent/ ├── app.py ├── main.py ├── mcp_server.py ├──
requirements.txt └── README.md
⚙️ Installation
git clone https://github.com/jsuryanm/mcp-jobs-recommender-agent.git cd
mcp-jobs-recommender-agent pip install -r requirements.txt
▶️ Run
streamlit run app.py
🛠️ Tech Stack
Python, MCP, Groq, Apify Client ,Streamlit
⭐ Support
If you like this project, please star the repo!