Polarsteps
This MCP server provides AI assistants with direct access to Polarsteps travel data through 7 specialized tools covering user profiles, social connections, travel statistics, trip details, and trip search functionality. Built by Remi Uzel using Python with the MCP SDK and a custom polarsteps-api library, it features user profile retrieval with location and country counts, social network analysis including followers and popularity metrics, comprehensive travel statistics with distance and achievement data, detailed trip information with step-by-step location logs, and fuzzy search capabilities for finding trips by destination or theme. The implementation includes robust error handling for private profiles and missing data, supports configurable result limits and step counts, and uses fuzzy matching with rapidfuzz for flexible trip discovery, making it valuable for travel analysis workflows, trip planning assistance, and building AI assistants that need programmatic access to Polarsteps travel histories without manual app navigation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/remuzel/polarsteps-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Polarsteps from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.