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Explorer/MCP/jefferythewind/warpgbm-mcp
REMOTE

WarpGBM

jefferythewind/warpgbm-mcp

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.

6 tools available
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (11mo)
6toolsRemote/ HTTP11moindexed
100% uptime · 324ms avgChecked Sep 5, 2026
Quality Score
66/95
Deep
Risk Score
0/100
Clean
How is this calculated?
Quality Breakdown
Tenure15.9/20
334 days indexed
Capability16.3/25
Tools: 4.3/13 (6 tools)
Description: 5/5
Endpoint: 7/7
Adoption9.2/25
Use count: 9.2/20 (196 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10
Uptime history: 15/15 100% (66/66 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0Clean
No signals detected.
The scanner shows
6 tools. Nothing caught our attention.
First indexed Oct 17, 2025
Server Profile
Tools catalogued
6
6 tools available. Full list below.
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
Liveness
100%
Based on 48 checks. Average response: 324ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://warpgbm-mcp--jefferythewind.run.tools
Tools (6)
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.

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More from jefferythewind
WarpGBM MCP Service
Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.
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