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ChatPPT-MCP

by pingcy
GitHub
Python
3
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ChatPPT-MCP: 多文档RAG引擎的 MCP Server

一个基于MCP（Model Context Protocol）的多文档RAG（Retrieval-Augmented Generation）引擎应用，支持PPT文档的智能问答和分析。

功能特性

  • 🔍 多文档处理: 支持索引多个PPT文档，基于视觉模型
  • 🤖 智能问答: 基于RAG技术的文档问答
  • 🔄 MCP集成: 使用Model Context Protocol进行工具调用
  • 📊 交互式测试: 提供命令行交互测试界面

技术栈

  • 后端框架: FastAPI
  • 向量数据库: ChromaDB
  • LLM: Doubao Vision
  • 文档处理: LibreOffice, pypdfium2
  • 协议: Model Context Protocol (MCP)
  • 向量化: OpenAI Embeddings

安装使用

1. 安装依赖

pip install -e .

2. 环境配置

复制环境变量模板文件，并修改：

cp .env.example .env

3. 运行应用

RAG引擎测试模式
python rag_interactive_test.py
MCP测试模式(先sse启动：python mcp_ppt_server.py --transport sse)
python mcp_interactive_test.py

项目结构

app_chatppt/ ├── src/ # 源代码目录 │ ├── multi_doc_rag_engine.py # RAG引擎核心 │ ├── document_processor.py # 文档处理器 │ └── ... ├── data/ # 示例数据 ├── rag_interactive_test.py # 交互式测试入口 ├── mcp_interactive_test.py # MCP集成测试 ├── pyproject.toml # 项目配置 ├── .env.example # 环境变量模板 └── README.md # 项目文档

许可证

MIT License

This server cannot be installed

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security - not tested
F
license - not found
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quality - not tested

How are these scores calculated?

A multi-document RAG engine server that enables intelligent querying and analysis of PPT documents using the Model Context Protocol (MCP).

  1. 功能特性
    1. 技术栈
      1. 安装使用
        1. 安装依赖
        2. 环境配置
        3. 运行应用
      2. 项目结构
        1. 许可证

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