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st3v

Running Formulas MCP Server

by st3v

Server Configuration

Describes the environment variables required to run the server.

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Tools

Functions exposed to the LLM to take actions

NameDescription
daniels_calculate_vdot

Calculate VDOT according to Jack Daniels.

Args: distance: Distance in meters. time: Time in seconds.

Returns: dict: vdot (float): The calculated VDOT value, representing the runner's aerobic capacity based on the input distance and time.

daniels_calculate_training_paces

Get recommended training paces for a given VDOT, based on Jack Daniels' formulas.

Args: vdot: VDOT value.

Returns: dict: easy (dict): Recommended easy pace range with lower and upper bounds. marathon (dict): Recommended marathon pace with value and format. threshold (dict): Recommended threshold pace with value and format. interval (dict): Recommended interval pace with value and format. repetition (dict): Recommended repetition pace with value and format.

daniels_predict_race_time

Predict race time for a target distance based on a current race performance. Uses Jack Daniels' equivalent performance methodology.

Args: current_distance: Distance of known performance in meters. current_time: Time of known performance in seconds. target_distance: Distance for race time prediction in meters.

Returns: dict: Daniels' VDOT method prediction with value, format, and time_seconds.

riegel_predict_race_time

Predict race time for a target distance based on a current race performance. Uses Riegel's formula.

Args: current_distance: Distance of known performance in meters. current_time: Time of known performance in seconds. target_distance: Distance for race time prediction in meters.

Returns: dict: Riegel's formula prediction with value, format, and time_seconds.

mcmillan_calculate_velocity_markers

Calculate velocity markers (vLT, CV, vVO2) from a race performance using McMillan methodology.

Args: distance: Race distance in meters time: Race time in seconds

Returns: Dictionary containing velocity markers with paces in MM:SS/km format

mcmillan_predict_race_times

Predict race times for standard distances based on a single race performance using McMillan methodology.

Args: distance: Race distance in meters time: Race time in seconds

Returns: Dictionary containing predicted race times in HH:MM:SS format

mcmillan_calculate_training_paces

Calculate training paces for all zones based on a race performance using McMillan methodology.

Args: distance: Race distance in meters time: Race time in seconds

Returns: Dictionary containing training paces organized by zones (endurance, stamina, speed, sprint)

mcmillan_heart_rate_zones

Calculate heart rate training zones based on age, resting heart rate, and optional max heart rate. Uses McMillan methodology with multiple max HR estimation formulas and both HRMAX and HRRESERVE methods.

Args: age: Runner's age in years resting_heart_rate: Resting heart rate in BPM max_heart_rate: Optional maximum heart rate in BPM (if None, will be estimated)

Returns: Dictionary containing estimated max HR, effective max HR, and training zones with both HRMAX and HRRESERVE calculations

convert_pace

Convert between different pace and speed units.

Args: value: The numeric value to convert. from_unit: Source unit ("min_km", "min_mile", "kmh", "mph"). to_unit: Target unit ("min_km", "min_mile", "kmh", "mph").

Returns: dict: value (float): Converted numeric value. formatted (str): Human-readable formatted result. unit (str): Target unit descriptor.

Raises: ValueError: If from_unit or to_unit are not valid, or if conversion is not supported.

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Contextual data attached and managed by the client

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