Bixi Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Bixi Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server providing access to Montreal's Bixi bike-sharing data through GBFS API.
# Install with uv
uv sync# Start the server
cd mcp_server
uv run python server.py# Build
docker build -t bixi-mcp .
# Run
docker run -i bixi-mcp{
"mcpServers": {
"bixi": {
"command": "uv",
"args": ["--directory", "/path/to/bixi-mcp/mcp_server", "run", "python", "server.py"]
}
}
}{
"mcpServers": {
"bixi": {
"command": "docker",
"args": ["run", "-i", "bixi-mcp"]
}
}
}get_stations(), get_station(id), search_stations(query)get_stations_status(), get_station_status(id), get_available_stations(min_bikes)find_nearby_stations(lat, lon, radius)get_system_info(), get_system_alerts(), get_system_summary()get_stations_with_issues(), get_vehicle_types()All tools support English (en) and French (fr) languages.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.