MCP Server with FAISS for RAG
About
# MCP Server with FAISS for RAG This project provides a proof-of-concept implementation of a Machine Conversation Protocol (MCP) server that allows an AI agent to query a vector database and retrieve relevant documents for Retrieval-Augmented Generation (RAG). ## Features - FastAPI server with MCP endpoints - FAISS…
Explore
- FastAPI server with MCP endpoints
- FAISS vector database integration
- Document chunking and embedding
- GitHub Move file extraction and processing
- LLM integration for complete RAG workflow
- Simple client example
- Sample documents
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Server with FAISS for RAGCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
pipx install -e .
3. (Optional) Configure environment variables:
- Copy .env.example to .env
- Add your GitHub token for higher rate limits: GITHUB_TOKEN=your_token_here
- Add your OpenAI or other LLM API key for RAG integration: OPENAI_API_KEY=your_key_here
If you prefer not to use pipx:
1. Clone the repository
2. Install dependencies:
cd mcp_server
pip install -r requirements.txt
After installing with pipx, you'll have access to the following commands:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server with faiss for rag": {
"sui-mcp-server": {
"command": "pipx",
"args": [
"ensurepath"
]
}
}
}
}McpServers
{
"sui-mcp-server": {
"command": "pipx",
"args": [
"ensurepath"
]
}
}This project provides a proof-of-concept implementation of a Machine Conversation Protocol (MCP) server that allows an AI agent to query a vector database and retrieve relevant documents for Retrieval-Augmented Generation (RAG).
Features
- FastAPI server with MCP endpoints
- FAISS vector database integration
- Document chunking and embedding
- GitHub Move file extraction and processing
- LLM integration for complete RAG workflow
- Simple client example
- Sample documents
Installation
Using pipx (Recommended)
pipx is a tool to help you install and run Python applications in isolated environments.
1. First, install pipx if you don't have it:
```bash
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