# Deployment Guide for MCP Documentation Server

## Prerequisites

1. **Hugging Face Account**: Create an account at [huggingface.co](https://huggingface.co)
2. **Git**: Ensure Git is installed on your system
3. **Docker**: Required for local testing (optional)

## Step 1: Create Hugging Face Space

1. Go to [Hugging Face Spaces](https://huggingface.co/spaces)
2. Click "Create new Space"
3. Fill in the details:
   - **Space name**: `mcp-docs-server` (or your preferred name)
   - **License**: MIT
   - **SDK**: Docker
   - **Hardware**: CPU Basic (free tier)
   - **Visibility**: Public or Private

## Step 2: Clone and Setup

```bash
# Clone your space (replace with your username)
git clone https://huggingface.co/spaces/YOUR_USERNAME/mcp-docs-server
cd mcp-docs-server

# Copy all files from this directory to the cloned space
# (Copy all files from mcp-docs-hf-space/ to the cloned directory)
```

## Step 3: Test Locally (Optional)

```bash
# Install dependencies
pip install -r requirements.txt

# Test the application
python test_app.py

# Run the server locally
python app.py
```

## Step 4: Deploy to Hugging Face

```bash
# Add all files to git
git add .

# Commit changes
git commit -m "Initial MCP Documentation Server deployment"

# Push to Hugging Face
git push origin main
```

## Step 5: Verify Deployment

1. Go to your Space URL: `https://huggingface.co/spaces/YOUR_USERNAME/mcp-docs-server`
2. Wait for the build to complete (usually 2-5 minutes)
3. Test the API endpoints:
   - `GET /` - Health check
   - `POST /search` - Search documentation

## API Usage Examples

### Health Check
```bash
curl https://YOUR_SPACE_URL.hf.space/
```

### Search Documentation
```bash
curl -X POST "https://YOUR_SPACE_URL.hf.space/search" \
  -H "Content-Type: application/json" \
  -d '{"query": "MCP architecture", "limit": 5}'
```

### Get Specific Chunk
```bash
curl "https://YOUR_SPACE_URL.hf.space/chunks/md_architecture_b82bfe7e__0"
```

## Troubleshooting

### Build Failures
- Check the logs in the Hugging Face Space interface
- Ensure all files are properly committed
- Verify the Dockerfile syntax

### Runtime Errors
- Check the application logs
- Verify all data files are present
- Test locally first

### Performance Issues
- Consider upgrading to a paid tier for better performance
- Optimize the search algorithm if needed

## Next Steps

1. **Integrate with MCP Clients**: Use this server as a data source for MCP clients
2. **Add Authentication**: Implement API keys or OAuth if needed
3. **Enhance Search**: Implement semantic search using the FAISS index
4. **Add More Features**: Implement additional endpoints as needed

## Support

For issues or questions:
1. Check the Hugging Face Space logs
2. Review the application code
3. Test locally first
4. Check the Hugging Face Spaces documentation