Vigneshwar71/MCP_Server_AI_Project

MCP Server AI Project

Advanced Model Context Protocol (MCP) Server with AI-powered NLP tools, AgentFlow orchestration, and comprehensive web interface.

Features

AI-Powered NLP Tools

• Text Summarization - Intelligent text summarization with configurable length
• Question Answering - Context-based Q&A with confidence scoring
• Sentiment Analysis - Advanced sentiment analysis with detailed metrics

MCP Tools Integration

• 8 Built-in Tools - Ping, Echo, Time, Calculator, Weather, etc.
• Real-time Execution - Live tool execution with results
• Usage Statistics - Track tool usage and performance

AgentFlow Orchestration

• Multi-Agent System - Supervisor, Search, Analysis, and Synthesis agents
• RAG Integration - Document upload and intelligent retrieval
• External APIs - Google, Scholar, News API integration

Quick Start

Local Development

1. Clone the repository ash git clone https://github.com/Vigneshwar71/MCP_Server_AI_Project.git cd MCP_Server_AI_Project

2. Backend Setup ash pip install -r requirements.txt python -m spacy download en_core_web_sm uvicorn app.main:app --reload --host 127.0.0.1 --port 8000

3. Frontend Setup ash cd frontend npm install npm run dev

4. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000

Vercel Deployment

API Endpoints

NLP Endpoints

• POST /nlp/summarize - Text summarization
• POST /nlp/qa - Question answering
• POST /nlp/sentiment - Sentiment analysis

MCP Endpoints

• GET /tools - List available tools
• POST /tools/{tool_name}/call - Execute tool

Health & Status

• GET /health - Health check
• GET / - API information

Contact

Vigneshwar71 - @Vigneshwar71

Project Link: https://github.com/Vigneshwar71/MCP_Server_AI_Project