{"id":28918310,"url":"https://github.com/suyashsangale/mcp-server-client","last_synced_at":"2026-05-09T09:02:45.090Z","repository":{"id":300215297,"uuid":"1005541229","full_name":"suyashsangale/MCP-Server-Client","owner":"suyashsangale","description":"A modular, open-source framework for building and deploying AI-powered tools and agent-based chat systems using MCP server and Streamlit 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MCP Platform Monorepo\n\n## A modern, extensible platform for building and deploying AI-powered tools with a Streamlit interface and FastMCP backend.\n\nThis repository contains two independent projects for building AI-powered tool platforms:\n\n- **classic_api/**: FastAPI backend with a classic Streamlit client.\n- **mcp_platform/**: Modern MCP server with an agent-powered Streamlit client.\n\nSee each subproject's README for details and setup instructions.\n\n# 🤖 MCP (Model Context Protocol)\n\n\n[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)\n[![FastAPI](https://img.shields.io/badge/FastAPI-0.68.0+-00a393.svg)](https://fastapi.tiangolo.com)\n[![Streamlit](https://img.shields.io/badge/Streamlit-1.28.0+-FF4B4B.svg)](https://streamlit.io)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n## 🌟 Features\n\n- **🛠️ Modular Tool System**: Easily create and deploy new AI tools\n- **🎯 FastAPI Backend**: High-performance, async-ready API endpoints\n- **🤖 LangChain Integration**: Powerful agent-based interactions\n- **🔍 Built-in Tools**: Ready-to-use tools for common tasks\n- **📝 Detailed Documentation**: Comprehensive guides and examples\n- **🔒 Secure Design**: Environment-based configuration management\n\n## Quickstart\n\n### classic_api (FastAPI + Streamlit)\n\n1. **Start the backend (FastAPI server):**\n   ```bash\n   cd classic_api/backend\n   pip install -r requirements.txt\n   uvicorn app.fastapi_app:app --reload\n   ```\n2. **Start the frontend (Streamlit client):**\n   ```bash\n   cd ../../frontend\n   pip install -r requirements.txt\n   cp .env.example .env  # Set your OpenAI key and model\n   streamlit run streamlit_app.py\n   ```\n3. **Open your browser:**\n   - Visit [http://localhost:8501](http://localhost:8501) for the UI.\n   - The FastAPI server runs at [http://localhost:8000](http://localhost:8000) by default.\n\n---\n\n### mcp_platform (MCP Server + Streamlit Agent Client)\n\n1. **Start the backend (MCP server):**\n   ```bash\n   cd mcp_platform/backend\n   pip install -r requirements.txt\n   python -m app.mcp_server_app\n   ```\n2. **Start the frontend (Streamlit client):**\n   ```bash\n   cd ../frontend\n   pip install -r requirements.txt\n   cp .env.example .env  # Set your OpenAI key and model\n   streamlit run streamlit_app.py\n   ```\n3. **Open your browser:**\n   - Visit [http://localhost:8501](http://localhost:8501) for the chat UI.\n   - The MCP server runs at [http://localhost:8000/mcp](http://localhost:8000/mcp) by default.\n\n---\n\n\n### Available Tools\n\n| Tool | Description | Example Usage |\n|------|-------------|---------------|\n| Add | Add two numbers | \"Add 5 and 7\" |\n| ReverseString | Reverse a string | \"Reverse hello world\" |\n| WordCount | Count words in text | \"Count words in this sentence\" |\n| WikipediaSummary | Get Wikipedia summary | \"Summarize Python programming\" |\n| WebSearch | Search the web | \"Search latest AI news\" |\n| PythonExec | Execute Python code | \"Calculate sum([1,2,3])\" |\n| Greet | Greet a person | \"Greet Alice\" |\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuyashsangale%2Fmcp-server-client","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuyashsangale%2Fmcp-server-client","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuyashsangale%2Fmcp-server-client/lists"}