Predict race times for standard distances using McMillan methodology based on a single race performance. Input distance and time to get personalized race predictions.
Predict race times for standard distances based on a single race performance using McMillan methodology. Input a race distance and time to calculate projected finish times for other distances.
Predict race times for standard distances using McMillan methodology based on a single race performance. Input distance and time to get projected finish times.
Retrieve detailed information about a puzzle race on Lichess by providing the race ID. Ideal for tracking progress, analyzing results, and staying updated on race outcomes.
Retrieve the start list for a specific cycling race edition, including rider numbers, names, and teams. Specify the race ID and optional year to access structured race participation details.
Retrieve Formula 1 race schedules for specific years to plan viewing or analysis. Input a year between 2018 and 2025 to access complete race calendars.
Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.
Enables AI agents to write and execute Python code in an isolated sandbox that can orchestrate multiple MCP tool calls, reducing context window bloat and improving efficiency for complex workflows.