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Generate forecasts and predictive insights via natural-language Chronulus AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Chronulus MCP Server" yet — see the docs or source repo.
Use the Chronulus forecasting agent to predict sales trends for the next 3 months based on the last 12 months of sales data. Also explain the main drivers and uncertainties. Data: [paste data]
A 3-month sales forecast with trend explanation, key drivers, and risk notes.
Call Chronulus to predict next quarter's market demand for a product based on industry changes, historical demand, and seasonality. Provide high, medium, and low scenarios.
A demand forecast with range estimates and brief analysis for three scenarios.
Use Chronulus to analyze the following project context, resource allocation, and similar past projects, then estimate the probability of on-time completion and list the most likely influencing factors: [paste project details]
An estimated probability of on-time delivery, key influencing factors, and a concise decision-ready forecast.
Connect Chronova productivity data so AI can query coding stats and activity metrics.
Manage dev servers and automate Chrome for preview and testing workflows.
Search and analyze local AI conversation logs with semantic retrieval and benchmarks.
Research, classify, score, and forecast every row in a dataset
Parse, validate, explain, and preview cron expressions before deployment.
Manage and monitor cron jobs with natural language through MCP.