llamacloud-mcp
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This repository demonstrates how to create an MCP server using LlamaCloud and how to use LlamaIndex as an MCP client.
LlamaIndex MCP demos provide a comprehensive guide on setting up a Model Context Protocol (MCP) server using LlamaCloud and utilizing LlamaIndex as an MCP client. The setup allows for the creation of a local MCP server that can be used by clients like Claude Desktop to access up-to-the-second private information through Retrieval-Augmented Generation (RAG). The process involves setting up a LlamaCloud index, configuring environment variables, and running the MCP server. Additionally, the guide covers configuring Claude Desktop to interact with the MCP server and demonstrates how LlamaIndex can act as an MCP client to connect to the server. This setup is particularly useful for developers looking to integrate LlamaCloud's capabilities with other platforms and tools, providing a seamless way to query and retrieve information from various data sources.
Features
- Local MCP Server: Provides a local MCP server using LlamaCloud for real-time data retrieval.
- LlamaCloud Index Setup: Guides on creating and configuring a LlamaCloud index with various data sources.
- Claude Desktop Integration: Instructions for configuring Claude Desktop to interact with the MCP server.
- MCP Client Integration: Demonstrates how LlamaIndex can be used as an MCP client to connect to the server.
- RAG Query Support: Utilizes Retrieval-Augmented Generation for enhanced query responses.