wehub-resource-sync
43 lines
1.4 KiB
Markdown
43 lines
1.4 KiB
Markdown
# Build your own Local MCP Client with LlamaIndex
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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.
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### Setup
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To sync dependencies, run:
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```sh
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uv sync
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```
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---
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## Usage
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- Start the local MCP server (for example, the included SQLite demo server):
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```sh
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uv run server.py --server_type=sse
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```
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- Run the client (choose the appropriate client script, e.g. `client.py` for OpenAI or `ollama_client.py` for Ollama):
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```sh
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uv run client.py
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```
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- Interact with the agent in your terminal. Type your message and the agent will use the available tools to answer your queries.
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---
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## 📬 Stay Updated with Our Newsletter!
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**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)
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[](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements. |