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timesfm-mcp

Verified Safe

by ashleyappadoo

Overview

Optimized time series forecasting server for cloud platforms like Railway/Render, offering trend and seasonality analysis via an HTTP API.

Installation

Run Command
docker-compose up

Environment Variables

  • PORT

Security Notes

The server is implemented in pure Python using `http.server`, which is not typically recommended for production environments due to limitations in robustness, performance, and advanced security features (like TLS, advanced input validation, or DDoS protection) compared to WSGI servers. It lacks explicit authentication or authorization, meaning the API is open to anyone with the URL. Request logging from the base HTTP server is suppressed, though application-level logs exist. No malicious patterns, `eval` usage, or hardcoded secrets were identified.

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Stats

Interest Score0
Security Score6
Cost ClassLow
Avg Tokens100
Stars0
Forks0
Last Update2026-01-16

Tags

Time Series ForecastingAPIPythonCloud DeploymentOptimization