Chronulus MCP Server

A tool that creates a new Chronulus Session and returns a session_id When to use this tool: - Use this tool when a user has requested a forecast or prediction for a new use case - Before calling this tool make sure you have enough information to write a well-defined situation and task. You might need to ask clarifying questions in order to get this from the user. - The same session_id can be reused as long as the situation and task remain the same - If user wants to forecast a different use case, create a new session and then use that How to use this tool: - To create a session, you need to provide a situation and task that describe the forecasting use case - If the user has not provided enough detail for you to decompose the use case into a situation (broad or background context) and task (specific requirements for the forecast), ask them to elaborate since more detail will result in a better / more accurate forecast. - Once created, this will generate a unique session_id that can be used to when calling other tools about this use case.

This tool creates a NormalizedForecaster agent with your session and input data model and then provides a forecast input data to the agent and returns the prediction data and text explanation from the agent. When to use this tool: - Use this tool to request a forecast from Chronulus - This tool is specifically made to forecast values between 0 and 1 and does not require historical data - The prediction can be thought of as seasonal weights, probabilities, or shares of something as in the decimal representation of a percent How to use this tool: - First, make sure you have a session_id for the forecasting or prediction use case. - Next, think about the features / characteristics most suitable for producing the requested forecast and then create an input_data_model that corresponds to the input_data you will provide for the thing being forecasted. - Remember to pass all relevant information to Chronulus including text and images provided by the user. - If a user gives you files about a thing you are forecasting or predicting, you should pass these as inputs to the agent using one of the following types: - ImageFromFile - List[ImageFromFile] - TextFromFile - List[TextFromFile] - PdfFromFile - List[PdfFromFile] - If you have a large amount of text (over 500 words) to pass to the agent, you should use the Text or List[Text] field types - Finally, add information about the forecasting horizon and time scale requested by the user - Assume the dates and datetimes in the prediction results are already converted to the appropriate local timezone if location is a factor in the use case. So do not try to convert from UTC to local time when plotting. - When plotting the predictions, use a Rechart time series with the appropriate axes labeled and with the prediction explanation displayed as a caption below the plot

This tool creates a NormalizedForecaster agent with your session and input data model and then provides a forecast input data to the agent and returns the prediction data and text explanation from the agent. When to use this tool: - Use this tool to request a forecast from Chronulus - This tool is specifically made to forecast values between 0 and 1 and does not require historical data - The prediction can be thought of as seasonal weights, probabilities, or shares of something as in the decimal representation of a percent How to use this tool: - First, make sure you have a session_id for the forecasting or prediction use case. - Next, think about the features / characteristics most suitable for producing the requested forecast and then create an input_data_model that corresponds to the input_data you will provide for the thing being forecasted. - Remember to pass all relevant information to Chronulus including text and images provided by the user. - If a user gives you files about a thing you are forecasting or predicting, you should pass these as inputs to the agent using one of the following types: - ImageFromFile - List[ImageFromFile] - TextFromFile - List[TextFromFile] - PdfFromFile - List[PdfFromFile] - If you have a large amount of text (over 500 words) to pass to the agent, you should use the Text or List[Text] field types - Finally, add information about the forecasting horizon and time scale requested by the user - Assume the dates and datetimes in the prediction results are already converted to the appropriate local timezone if location is a factor in the use case. So do not try to convert from UTC to local time when plotting. - When plotting the predictions, use a Rechart time series with the appropriate axes labeled and with the prediction explanation displayed as a caption below the plot

A tool that rescales the prediction data (values between 0 and 1) from the NormalizedForecaster agent to scale required for a use case When to use this tool: - Use this tool when there is enough information from the user or use cases to determine a reasonable min and max for the forecast predictions - Do not attempt to rescale or denormalize the predictions on your own without using this tool. - Also, if the best min and max for the use case is 0 and 1, then no rescaling is needed since that is already the scale of the predictions. - If a user requests to convert from probabilities to a unit in levels, be sure to caveat your use of this tool by noting that probabilities do not always scale uniformly to levels. Rescaling can be used as a rough first-pass estimate. But for best results, it would be better to start a new Chronulus forecasting use case predicting in levels from the start. How to use this tool: - To use this tool present prediction_id from the normalized prediction and the min and max as floats - If the user is also changing units, consider if the units will be inverted and set the inverse scale to True if needed. - When plotting the rescaled predictions, use a Rechart time series plot with the appropriate axes labeled and include the chronulus prediction explanation as a caption below the plot. - If you would like to add additional notes about the scaled series, put these below the original prediction explanation.

A tool that saves a Chronulus forecast from NormalizedForecaster to separate CSV and TXT files When to use this tool: - Use this tool when you need to save both the forecast data and its explanation to files - The forecast data will be saved as a CSV file for data analysis - The forecast explanation will be saved as a TXT file for reference - Both files will be saved in the same directory specified by output_path - This tool can also be used to directly save rescaled predictions without first calling the rescaling tool How to use this tool: - Provide the prediction_id from a previous forecast - Specify the output_path where both files should be saved - Provide csv_name for the forecast data file (must end in .csv) - Provide txt_name for the explanation file (must end in .txt) - Optionally provide y_min and y_max to rescale the predictions (defaults to 0) - Set invert_scale to True if the target units run in the opposite direction - The tool will provide status updates through the MCP context

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