# Build your own Local MCP Client with LlamaIndex This project demonstrates how to build a **local MCP (Model Context Protocol) client** using LlamaIndex. The client connects to a local MCP server (which exposes tools like a SQLite database) and lets you interact with it using natural language and tool-calling agents—all running locally on your machine. ### Setup To sync dependencies, run: ```sh uv sync ``` --- ## Usage - Start the local MCP server (for example, the included SQLite demo server): ```sh uv run server.py --server_type=sse ``` - Run the client (choose the appropriate client script, e.g. `client.py` for OpenAI or `ollama_client.py` for Ollama): ```sh uv run client.py ``` - Interact with the agent in your terminal. Type your message and the agent will use the available tools to answer your queries. --- ## 📬 Stay Updated with Our Newsletter! **Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com) [![Daily Dose of Data Science Newsletter](https://github.com/patchy631/ai-engineering/blob/main/resources/join_ddods.png)](https://join.dailydoseofds.com) --- ## Contribution Contributions are welcome! Please fork the repository and submit a pull request with your improvements.