Prepare for Gradio Agents & MCP Hackathon 2025 submission - Add comprehensive README.md with mcp-server-track tag - Create app.py entry point for Hugging Face Spaces - Update requirements.txt with all dependencies - Add env.example for environment configuration - Ready for Track 1: MCP Server/Tool submission
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| # Job Search MCP Server - Environment Variables Configuration | |
| # Copy this file to .env and fill in your API keys | |
| # Required: LLM API Keys (at least one is required) | |
| OPENAI_API_KEY=your_openai_api_key_here | |
| ANTHROPIC_API_KEY=your_anthropic_api_key_here | |
| HF_ACCESS_TOKEN=your_huggingface_access_token_here | |
| # Optional: Job Search API Keys (for enhanced job data) | |
| LINKEDIN_API_KEY=your_linkedin_api_key | |
| INDEED_API_KEY=your_indeed_api_key | |
| ADZUNA_APP_ID=your_adzuna_app_id | |
| ADZUNA_APP_KEY=your_adzuna_app_key | |
| ADZUNA_COUNTRY=gb | |
| # LLM Configuration | |
| LLM_PROVIDER=huggingface # Options: openai, anthropic, huggingface | |
| LLM_MODEL=deepseek/deepseek-v3-turbo # Model to use | |
| HF_INFERENCE_PROVIDER=novita # HF Inference provider: novita, together, fireworks | |
| MAX_TOKENS=300 | |
| TEMPERATURE=0.7 | |
| # Embedding Model (GPU processing) | |
| EMBEDDING_MODEL=all-MiniLM-L6-v2 | |
| EMBEDDING_DIMENSION=384 | |
| # Application Settings | |
| APP_NAME=Job Search MCP Server | |
| DEBUG=false | |
| HOST=127.0.0.1 | |
| PORT=7860 | |
| # Data Storage Paths | |
| PROFILES_DB_PATH=./data/profiles.json | |
| JOBS_CACHE_PATH=./data/jobs_cache.json | |
| EMBEDDINGS_CACHE_PATH=./data/embeddings.faiss | |
| # Search Configuration | |
| MAX_JOBS_PER_SEARCH=50 | |
| SIMILARITY_THRESHOLD=0.7 | |
| # External APIs | |
| REMOTIVE_API_URL=https://remotive.com/api/remote-jobs |