This project demonstrates how to use LlamaCloud to create an MCP server and the application of LlamaIndex as an MCP client.

mcp - scaffold is a development sandbox for verifying the Model Context Protocol (MCP) server, providing support for local LLMs (such as LLaMA 7B) and cloud inference, including a chat interface and reference architecture.

Use Changesets to manage project versions and change logs

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.

A MCP server that connects Claude Desktop with local LibreModel, providing full conversation support, parameter control, and health monitoring functions

An MCP server project that enables Claude to directly access the documentation of popular libraries such as LangChain, LlamaIndex, and OpenAI, search through the Serper API and parse content using BeautifulSoup to enhance the AI's context understanding ability.

This project integrates the Yahoo Finance API with the LLaMA 3.2 3B model. Through the Model Context Protocol (MCP), the model can access real - time financial data, stock information, and market news while retaining all the original functions of LLaMA.

An MCP server based on the LlamaIndexTS library, providing multiple LLM tool functions

The MCP Docling Server is a server that provides document processing capabilities, supporting various document conversions and extraction functions, including format conversion, table extraction, and Q&A generation. It can be integrated with the Llama Stack to enhance the capabilities of LLM applications.

Project based on MCP Server, Llama3, and Xterm.js

This is a Python - based MCP server project that supports searching documents from popular libraries such as LangChain, LlamaIndex, and OpenAI through the Serper API and uses BeautifulSoup to extract web page content.

A custom MCP server and client project built on Llama 3.2 of Ollama

A simple MCP server for retrieving information from the official documentation of Langchain, Llama Index, and OpenAI, providing document search functionality.

MCP server project based on Llama3 and Xterm.js

This is an asynchronous document retrieval server based on FastMCP, providing search, crawling, and cleaning functions for the official documentation of AI/Python ecosystem libraries, supporting the retrieval of documentation for libraries such as uv, langchain, openai, and llama-index.

The project introduces how to quickly set up an MCP service based on Ollama and the Llama3.2 model, including environment preparation and running steps.

A lightweight MCP server that retrieves relevant documentation content from popular AI libraries such as LangChain, LlamaIndex, and OpenAI by combining web search and content parsing, providing language models with the function of dynamically querying the latest documentation.

This is a Python-based MCP server that supports searching for documentation of LangChain, LlamaIndex, and OpenAI through the Serper API and uses BeautifulSoup to extract web page content.

A project demonstrating the integration of the MCP protocol with the SQLite database, including a simple demonstration and a complete HR management system, enabling natural language interaction through LlamaIndex.

A TypeScript-based MCP server for connecting to the hosted index on LlamaCloud and providing knowledge base query functions.