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10 days ago
glama

ML MCP Server

Enables training and using machine learning models on local CSV datasets or data from other MCP servers, supporting tasks like forecasting, regression, classification, and anomaly detection.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: ML_API_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configDATASETS_PATH
configML_DB_PATH
configMODELS_PATH
🔐 secretML_API_TOKENtoken isi sama dengan di .env server ini
configOIDC_JWKS_URL
configOIDC_AUDIENCE
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/pktcopilot2-ml-mcp-e3j4lz)](https://m8ven.ai/mcp/pktcopilot2-ml-mcp-e3j4lz)
commit: fdc74a25112bb9defc27b2b2335c0c2f1dbeff11
code hash: a1611d8109314a38f9d557f7a90c3c1c2578f6663e75dd6866f58739ac6baaba
verified: 7/21/2026, 8:36:26 AM
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