MCP For Claude Marketplace
Running Race Predictor

Running Race Predictor MCP Connector for Claude

A+

Predict race performance and generate segmented pacing strategies using the Riegel model.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

The Running Race Predictor MCP server connects AI agents to advanced endurance modeling. By providing a recent race result, you can use predict_race_times to estimate your performance across standard distances like 5K, 10K, and Marathons using the Riegel fatigue model. For upcoming goals, use generate_segment_strategy to create actionable pacing plans (Even Split, Negative Split, or Conservative Start) broken down by race segments. You can also use validate_race_input to ensure all your distance measurements are correctly normalized to meters before processing.

runningmarathonpacingenduranceathleticstraining

3 tools expose this connector's capabilities to your AI agent.

predict_race_times

Predicts race times for standard distances

generate_segment_strategy

Generates a segmented pacing strategy

validate_race_input

Validates and normalizes race distance input

See how to talk to your AI agent using Running Race Predictor.

I ran a 5K in 25 minutes. What can I expect for a Marathon?

Based on your 5K time of 25:00, your predicted Marathon time is approximately 3:56:42 with a pace of 5:36 min/km.

Generate a pacing strategy for a 10K race with a goal time of 50 minutes using a negative split approach.

For your 10,000m goal of 50:00, here is your strategy: - Segment 1 (Start): 3,333m at 5:05 min/km - Segment 2 (Middle): 3,333m at 5:00 min/km - Segment 3 (Finish): 3,334m at 4:55 min/km

Is 10 miles a valid distance input?

Yes, 10 miles is a valid input. It has been normalized to 16093.4 meters.

Predictions use the Riegel model, which is highly effective for standard distances. For ultra-endurance distances exceeding a marathon, the system applies an adjusted fatigue exponent to maintain accuracy.

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