WarpGBM
Train gradient boosting models quickly and export portable artifacts for smooth deployment.
What it can do
- List Models: List all available ML model backends (warpgbm, lightgbm)
- Train: Train a gradient boosting model and return portable artifacts (joblib and/or ONNX)
- Predict From Artifact: Run inference using a trained model artifact or artifact_id. Use artifact_id for fast predictions right after training (valid for 5 minutes).
What data it sees
Do you need an account
No: the server works without sign-in
Train gradient boosting models quickly and export portable artifacts for smooth deployment. Run fast predictions from newly trained models or existing artifacts. Upload datasets, browse available backends, and access a practical guide with best practices and troubleshooting.
How to connect
How to connect WarpGBM to Claude
The server address to paste into Claude settings:
https://warpgbm-mcp--jefferythewind.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect WarpGBM to ChatGPT
The server address to paste into ChatGPT settings:
https://warpgbm-mcp--jefferythewind.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect WarpGBM to Cursor
The server address to paste into Cursor settings:
https://warpgbm-mcp--jefferythewind.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (6)
Raw names from tools/list. Only developers need these.
| list_models | List all available ML model backends (warpgbm, lightgbm) |
| train | Train a gradient boosting model and return portable artifacts (joblib and/or ONNX) |
| predict_from_artifact | Run inference using a trained model artifact or artifact_id. Use artifact_id for fast predictions right after training (valid for 5 minutes). |
| get_agent_guide | Get the comprehensive agent guide with examples, best practices, and troubleshooting tips for using this service |
| upload_data | Upload CSV or Parquet files for training. Parses files and returns structured X and y arrays ready for training. |
| submit_feedback | Submit feedback about the service. Agents can report bugs, request features, or provide general feedback. |