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fayazhussain2821

AI Race Engineer

by fayazhussain2821
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ANTHROPIC_API_KEYYesYour Anthropic API key. Only needed for the agent (strategy) server.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_session_infoA

Load an F1 session and return its metadata and driver list.

Args: year: Season, 2018 or later (FastF1 coverage starts in 2018). circuit: Event or location name, e.g. "Austria", "Monza". session_type: "R" race, "Q" qualifying, "S" sprint, "FP1"/"FP2"/"FP3".

get_driver_stintsC

Per-stint compound, lap range and length for one driver.

Args: driver: Three-letter code, e.g. "VER", "NOR", "LEC".

get_degradationA

Fitted tyre degradation per stint for one driver.

Lap times are cleaned (safety car, VSC, in/out and inaccurate laps removed) and fuel-corrected before fitting. Each stint reports an R² and a trusted flag — a low-R² fit is describing noise, not degradation, and should not drive a decision.

compare_driversB

Stint-by-stint degradation comparison across several drivers.

Args: drivers: Three-letter codes, e.g. ["VER", "NOR", "LEC"].

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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