The Polarsteps MCP Server is a Model Context Protocol (MCP) server that enables Claude and other AI assistants to access Polarsteps travel data. It allows querying user profiles, trip details, travel statistics, and searching travel histories in natural language. Core features include: User Profiles (profile info, social stats, and travel metrics); Trip Data (detailed trip information, timelines, and locations); Smart Search (find trips by destination, theme, or keywords with fuzzy matching); and Travel Analytics (comprehensive travel statistics and achievements). Data access is powered by the polarsteps-api package, which interacts with Polarsteps through undocumented APIs, and users should review the associated legal disclaimer and terms of use before use. Authentication is performed via a Polarsteps remember_token, configured as an environment variable (POLARSTEPS_REMEMBER_TOKEN). Quick-start guidance suggests installing via Smithery CLI before PyPI, and testing locally with the MCP inspector. For development, there are source-installation steps and common tasks such as running tests, linting, and local MCP testing. The server is designed to enable natural-language queries about profiles and trips across a user’s Polarsteps data.