a2a_mcp-example

# 🧠 LLM-Powered Terminal Assistant using A2A & MCP ### [youtube link](https://youtu.be/nSjj1ZaNP2c) : Deep dive and step by step tutorial of A2A and MCP, including code walthrough This is an LLM-powered application that allows users to execute terminal commands using simple English queries like: > "Delete `readme.txt` on my desktop." It leverages the **A2A** (Agent-to-Agent) and **MCP** (Model Context Protocol) to interpret and execute commands on a Linux system. --- ## 🛠️ Getting Started Follow these steps to get the system up and running. ### 1. Clone the Repository ```bash git clone https://github.com/ishanExtreme/a2a_mcp-example.git cd a2a_mcp-example ``` ### 2. Set OpenAI API Key Export your OpenAI API key to your environment: ```bash export OPENAI_API_KEY="<your-openai-api-key>" ``` ### 3. Create and Activate Virtual Environment ```bash python -m venv venv or conda create ... source venv/bin/activate # On Windows use: venv\Scripts\activate ``` ### 4. Install Requirements ```bash pip install -r requirements.txt ``` --- ## 🧩 Running the Application Ensure all the services are running in separate terminal tabs/windows: ### 🖥️ Start the UI Server ```bash cd ./client/demo/ui uv run main.py ``` ### 🔁 Start the A2A Server ```bash cd ./a2a_server python main.py ``` ### 🖥️ Start the MCP Server ```bash cd ./mcp_server python mcp_server.py ``` --- ## 🌐 Accessing the Application 1. Open your browser and go to: [http://localhost:12000](http://localhost:12000) 2. Navigate to the **Agents** section. 3. Add a **Linux agent** using the following endpoint: ``` http://localhost:10000 ``` You are now ready to start chatting and executing Linux commands via natural language! --- ## 🧪 Example Queries - "Delete the `notes.txt` file on Desktop" - "List all files in the Documents folder" - "Create a new directory called `projects`" --- ## 🧠 Built With - [OpenAI GPT](https://platform.openai.com/) - A2A Protocol - MCP Protocol - FastAPI + Uvicorn - Python 3.12+ --- ## 📜 License MIT License © 2025 ---