Prophet_mcp

An open-source Model Context Protocol (MCP) server engineered for Time-Series Forecasting.

Powered by Meta's Prophet, this server enables LLMs to generate accurate forecasts, trend analyses, and confidence intervals from historical data — turning raw numbers into actionable insights within AI workflows.

> Note: This project is a specialized fork of the sendgrid-mcp server, re-engineered to provide robust forecasting capabilities via the MCP protocol.

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Leverages Meta's Prophet to predict future trends based on historical data. Handles seasonality, outliers, and trend changes automatically.

Choose the right forecasting model for your scenario:

• Linear (default): Unbounded straight-line trend — ideal for metrics with no natural ceiling.
• Logistic (S-curve): Saturating growth that respects a cap (max) and optional floor (min) — ideal for metrics like market share, adoption rates, or capacity-limited systems.

Supports daily, hourly, weekly, and monthly time series via the freq parameter — use the frequency that matches your input data.

Returns data in a format optimized for Large Language Models:

• Plain-English Summaries: Instant context on trends (e.g., *"Trending UPWARD by +51.7%"*).
• Statistical Breakdowns: Historical vs. Forecasted means, min/max, standard deviations.
• Chart.js Config: Ready-to-render visualization config for web deployment.

Includes Chart.js configuration in every response with:

• Red dots for actual historical data
• Dashed blue line for forecast predictions
• Shaded confidence interval band
• Red/orange dashed lines for cap/floor (in logistic mode)

Input validation with clear error messages for:

• Empty or mismatched