F1 MCP Server (stagsz/F1-MCP-Server) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 13 tools. No publisher has claimed this listing.
Provides advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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stagsz
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_session_dataGet detailed F1 session data including telemetry, timing, and weather
analyze_tire_performanceAdvanced tire performance analysis with degradation modeling and strategy insights
analyze_lap_timesSophisticated lap time analysis with fuel correction and mini-sector breakdown
predict_weather_impactWeather impact analysis and prediction for race strategy
simulate_race_strategyMonte Carlo race strategy simulation with probabilistic outcomes
analyze_driver_performanceDriver performance extraction separating skill from car performance
get_real_time_telemetryReal-time telemetry data processing with advanced signal analysis
analyze_sector_performance25 mini-sector analysis with track curvature correlation
get_current_season_infoGet current F1 season information including live data availability
get_race_scheduleGet F1 race schedule for any year including 2025
connect_live_timingConnect to F1 Official Live Timing API for real-time data
get_live_timing_statusGet status of F1 Live Timing API connection
get_api_statusGet status of all F1 data APIs (Ergast, OpenF1, Live Timing)
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
Axios is Vulnerable to Denial of Service via __proto__ Key in mergeConfig
Axios is vulnerable to DoS attack through lack of data size check
Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
13/13 tools missing one or more hints — get_session_data (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_tire_performance (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_lap_times (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +10 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tool test coverage
Only 0/13 tools referenced in tests (0%)
Write tests that reference each tool by name so every tool has at least one test.
Production dependencies are patched
0 critical, 13 high severity in production deps — @modelcontextprotocol/sdk@0.5.0 (high), axios@1.10.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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