Examples

Real-world examples of what you can ask your AI assistant to do with the MCP Server.

You don’t need to write any code yourself. Just ask your AI assistant in natural language — it writes the TypeScript behind the scenes.

Coaching & Analysis

”Where am I losing time at Spa?”

The AI will:

  1. Find your recent sessions at Spa
  2. Run getWeakCorners to identify problem areas
  3. Pull braking zone data for your latest session
  4. Generate a coaching report with specific improvement actions

”Compare my last two laps and tell me what changed”

The AI will:

  1. Get your most recent session with getSessions
  2. Find the last two valid laps via getSessionDetail
  3. Run compareLaps for zone-by-zone braking deltas
  4. Explain the differences in trail braking, entry speed, and exit speed

”Am I getting faster at Monza?”

The AI will:

  1. Call getProgressOverTime with trackName: "Monza"
  2. Analyze the trend direction and slope
  3. Compare best/average lap times across sessions
  4. Report whether you’re improving, plateauing, or regressing

Race Preparation

”What races are coming up this week in iRacing?”

The AI will:

  1. Call searchRacesThisWeek to get all active series
  2. Filter by your preferred category (road, oval, etc.)
  3. Show tracks, times, and license requirements

”Create a race event for the IMSA Pilot Challenge at Watkins Glen this Saturday”

The AI will:

  1. Search searchIRacingSeries for the IMSA series
  2. Find the current week’s schedule with getSeriesSchedule
  3. Call createRaceFromSchedule with the matching series and week
  4. Confirm the race was added to your calendar

”Generate a fuel strategy for my 45-minute race”

The AI will:

  1. Find your practice sessions at the race track
  2. Call generateStrategyFromTelemetry with your session data
  3. Calculate fuel per lap, tank range, optimal stint length
  4. Present a stint plan with pit windows and fuel loads

Track Notes

”Update my Spa notes with what I learned today”

The AI will:

  1. Find your existing Spa notepad with getTrackNotepads
  2. Read the current notes with getTrackNotepad
  3. Merge your new observations into the corner notes
  4. Save with updateTrackNotepad

”What did I write about Turn 1 at Barcelona?”

The AI will:

  1. Search your notepads for Barcelona
  2. Find the corner note for Turn 1
  3. Return your braking reference, gear, min speed, and personal notes

Advanced Analysis

”Give me a full readiness assessment for Saturday’s race”

The AI will:

  1. Call getRaceReadinessData with your race event
  2. Analyze all practice sessions (FP1, FP2, FP3)
  3. Evaluate pace, consistency, phase performance, and corner evolution
  4. Save a saveRaceReadinessReport with strengths, weaknesses, and race plan

”Which car/track combos have I driven the most?”

The AI will:

  1. Call getSessions with a high limit
  2. Group sessions by track and car combination
  3. Calculate total laps, hours, and best times per combo
  4. Present a ranked summary

Tips for Better Results

  • Be specific: “Analyze my braking at Turn 3” works better than “help me improve”
  • Mention the track: Helps the AI filter to relevant data quickly
  • Ask for reports: The AI will save coaching reports visible in the web app
  • Chain requests: “Find my weakest corner, then compare my entry speed with the leaderboard top 5”