ML Engineer Pack
Train and deploy models: HuggingFace → LlamaIndex → Snowflake data pipelines
Servers Included
HuggingFace
LlamaIndex
Snowflake
Configuration
Copy the config for your MCP client. Replace your_api_key with your RouterMCP API key.
{
"mcpServers": {
"routermcp": {
"url": "https://your-project.workers.dev/v1/mcp/ml-engineer-pack/request",
"apiKey": "your_api_key_here"
}
}
}Quick Setup
- Create a project in your RouterMCP dashboard
- Add servers for each tool in this pack (see list above)
- Generate an API key in API Keys
- Copy the config above and paste into your MCP client
- Test the connection with the cURL snippet
Required Environment Variables
Most servers require API keys or tokens. Check each server's documentation for details.
# Example .env file HUGGINGFACE_API_KEY=your_huggingface_key LLAMAINDEX_API_KEY=your_llamaindex_key SNOWFLAKE_API_KEY=your_snowflake_key