f1pitwall
PyPI
v1.1.0
Published by darshjoshi — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
F1 MCP server for Claude — 79 tools for live timing, telemetry, strategy, and 75 years of history. pip install f1pitwall[full] for plots.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
analyze_brake_pointsno sensitive capabilityanalyze_drs_usageno sensitive capabilityanalyze_lap_consistencyno sensitive capabilityanalyze_long_run_paceno sensitive capabilityanalyze_rpm_datano sensitive capabilityanalyze_starting_tiresno sensitive capabilitycompare_grid_to_finishno sensitive capabilitycompare_sector_timesno sensitive capabilitycompare_strategiesno sensitive capabilitycompare_tire_age_performanceno sensitive capabilitycompare_tire_compoundsno sensitive capabilitydetect_overtakesno sensitive capabilityget_championship_standingsno sensitive capabilityget_circuit_infono sensitive capabilityget_constructor_standingsno sensitive capabilityget_deleted_lapsno sensitive capabilityget_dnf_listno sensitive capabilityget_driver_comparisonno sensitive capabilityget_driver_infono sensitive capabilityget_driver_standingsno sensitive capabilityget_driver_tyre_detailno sensitive capabilityget_fastest_lap_datano sensitive capabilityget_fastest_pit_stopsno sensitive capabilityget_fastest_sectorsno sensitive capabilityget_gap_to_leaderno sensitive capabilityget_historical_resultsno sensitive capabilityget_lap_timesno sensitive capabilityget_lap_times_fastf1no sensitive capabilityget_live_best_sectorsno sensitive capabilityget_live_gps_positionsno sensitive capabilityget_live_lap_timesno sensitive capabilityget_live_mini_sectorsno sensitive capabilityget_live_pit_activityno sensitive capabilityget_live_positionsno sensitive capabilityget_live_race_controlno sensitive capabilityget_live_sector_timesno sensitive capabilityget_live_session_clockno sensitive capabilityget_live_session_statusno sensitive capabilityget_live_speed_comparisonno sensitive capabilityget_live_speed_trapno sensitive capabilityget_live_stint_historyno sensitive capabilityget_live_telemetryno sensitive capabilityget_live_time_gapsno sensitive capabilityget_live_track_status_historyno sensitive capabilityget_live_tyresno sensitive capabilityget_live_weatherno sensitive capabilityget_penaltiesno sensitive capabilityget_personal_best_lapsno sensitive capabilityget_pit_stop_detailno sensitive capabilityget_pit_stopsno sensitive capabilityget_position_changesno sensitive capabilityget_qualifying_progressionno sensitive capabilityget_race_controlno sensitive capabilityget_race_control_messagesno sensitive capabilityget_race_infono sensitive capabilityget_race_resultsno sensitive capabilityget_race_winners_historyno sensitive capabilityget_scheduleno sensitive capabilityget_session_infono sensitive capabilityget_session_summaryno sensitive capabilityget_speed_trap_comparisonno sensitive capabilityget_speed_trapsno sensitive capabilityget_sprint_resultsno sensitive capabilityget_standingsno sensitive capabilityget_stint_analysisno sensitive capabilityget_team_lapsno sensitive capabilityget_telemetryno sensitive capabilityget_track_recordno sensitive capabilityget_track_statusno sensitive capabilityget_tyre_strategyno sensitive capabilityget_weatherno sensitive capabilityget_weather_datano sensitive capabilitylist_racesno sensitive capabilitylist_seasonsno sensitive capabilityplot_driver_telemetry_comparisonno sensitive capabilityplot_gear_shiftsno sensitive capabilityplot_multi_telemetry_comparisonno sensitive capabilityplot_telemetry_comparisonno sensitive capabilityteam_head_to_headno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.1.0 latest |
A 99/100 | 0 | 1.12.1 | 2026-07-27 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan f1pitwall --online --registry pypi
Public-safe MCP admin discovery contract descriptors and response builders.
Pokemon Champions battle advisor MCP server
Airflow MCP server — DAG list, runs, task instances, log tails, trigger and clear over the Airflow REST API
MCP analytics wrapper SDK that instruments MCP tool declarations with telemetry.
AI-ready GIS, geofencing, DataSynch, CRM, inventory, routing, APIs, telemetry and workflows.
AI-native social listening. Monitor buying signals and run GTM workflows via natural language.