# Local MCP RAG Server

An offline, privacy-first Model Context Protocol (MCP) server that empowers LLM clients (like Claude Desktop) to chat with your local markdown engineering documentation.

## How it Works
1. **Indexer:** Reads `.md` files, generates embeddings via Local **Ollama** (`nomic-embed-text`), and stores them in **ChromaDB**.
2. **MCP Server:** Exposes a `search_internal_docs` tool using the `FastMCP` framework over `stdio`.
3. **Zero Cloud Leaks:** All indexing and retrieval happens completely locally on your machine.

## Setup

### 1. Requirements
- Python 3.12+
- [Ollama](https://ollama.com) running locally.
```bash
ollama pull nomic-embed-text
pip install -r requirements.txt
```

### 2. Index your docs
Place markdown files in `/internal_docs` and run:
```bash
python src/indexer.py
```

### 3. Connect to Claude Desktop
Add this to your `claude_desktop_config.json` (Mac: `~/Library/Application Support/Claude/claude_desktop_config.json`):
```json
{
  "mcpServers": {
    "local-architecture-brain": {
      "command": "python",
      "args": ["/absolute/path/to/local-mcp-rag-server/src/server.py"]
    }
  }
}
```

Restart Claude Desktop, and you can now ask it: *"How does our internal payment service work?*