A custom MCP server using FastAPI, AWS, Firebase, and LangChain for real-time audio analysis.
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# AI RecruitEdge MCP Server A comprehensive AI-powered recruitment workflow automation server that generates interview questions, analyzes media files, and provides candidate scoring. ## Features - **Question Generation**: AI-powered interview question generation based on job descriptions and resumes - **Media Analysis**: Audio/video transcription and analysis for candidate evaluation - **Candidate Scoring**: Comprehensive scoring system with technical, communication, and emotional intelligence assessment - **Database Integration**: Full Firebase Firestore support for storing questions, analyses, and scores - **File Management**: Complete file upload, validation, and storage system - **Configuration Management**: Centralized configuration with environment variables - **Health Monitoring**: Comprehensive health checks for all services ## Architecture ### Services 1. **DatabaseService**: Handles all database operations using Firebase Firestore 2. **ConfigService**: Manages application configuration and environment variables 3. **FileService**: Handles file uploads, validation, and storage 4. **AWSServices**: Manages AWS services (S3, Bedrock, Transcribe, Rekognition) 5. **PineconeService**: Manages vector store operations for similarity search ### Agents 1. **QuestionGeneratorAgent**: Generates interview questions using LLM 2. **MediaAnalyzerAgent**: Analyzes audio/video files for candidate evaluation 3. **ScoringAgent**: Provides comprehensive candidate scoring ## Required Services & Infrastructure ### 1. AWS Services #### Amazon Bedrock - **Purpose**: LLM inference for question generation, media analysis, and scoring - **Models Required**: - `anthropic.claude-3-sonnet-20240229-v1:0` (default) - `amazon.titan-embed-text-v1` (embeddings) - **Setup**: Enable Bedrock access in AWS console, configure IAM permissions #### Amazon S3 - **Purpose**: Media file storage and transcription output - **Bucket**: `ai-recr…
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