inferno-driving-coach
MCP server for motorsports telemetry coaching. Analyzes AIM (XRK/XRZ) and iRacing (IBT) telemetry data to produce structured session reports with corner consistency analysis, braking analysis, G utilization, and actionable improvement areas.
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"inferno-driving-coach": {
"command": "uvx",
"args": ["inferno-driving-coach"]
}
}
}
Claude Code
Add to your project or global settings:
{
"mcpServers": {
"inferno-driving-coach": {
"command": "uvx",
"args": ["inferno-driving-coach"]
}
}
}
Tools
analyze_session
Run full session analysis on telemetry files. Produces a structured report with:
- Lap times and consistency metrics
- Corner-by-corner consistency analysis (braking, apex speed, exit speed, throttle acceptance)
- G utilization and "G hole" detection
- Braking balance analysis
- Suspension velocity histograms
- Tire grip and condition data
- Track map and corner comparison images
Accepts multiple files from the same session (e.g., split by a car restart) and merges them automatically.
group_sessions
Detect and group split session files into logical sessions. AIM loggers create a new file when the car is restarted — this tool detects those splits by comparing metadata timestamps and groups files that belong together.
list_profiles
List available vehicle profiles and their channel name mappings. Profiles map canonical channel names (like "throttle", "brake", "gps_speed") to the actual AIM channel names for each vehicle/logger combination.
Prompts
session_analysis
Full coaching workflow: analyzes a session, identifies the top 3 improvement areas, shows best execution with root cause analysis, sets KPIs, and generates a markdown report with track map and comparison images.
session_day_review
Multi-session workflow: discovers all telemetry files in a directory, groups split sessions, analyzes each session sequentially with cross-session KPI tracking, and generates a day summary with progression analysis.
License
MIT
Metadata
Release files for inferno-driving-coach 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| inferno_driving_coach-1.2.0-py3-none-any.whl | Python 3 | none | any | Details for inferno_driving_coach-1.2.0-py3-none-any.whl |
Release files / inferno_driving_coach-1.2.0-py3-none-any.whl
| Download URL | inferno_driving_coach-1.2.0-py3-none-any.whl |
|---|---|
| Size | 286.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
61a2f7e59581bad6033eb5c833276bb7db09a1c8f6c6594d8bbf2bd5943b1285
|
|
BLAKE2b-256 checksum How to use checksums |
7f435894525eedaa89a0c90cf01bc9b61d74fce449614d94d4cf942a1523c874
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.13.5 {"installer":{"name":"uv","version":"0.13.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for inferno-driving-coach 1.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.