# Polarsteps

> Use this tool when you need to access and analyze Polarsteps travel data for user profiles, social connections, and trip details. It solves problems related to travel analysis, trip planning, and building AI assistants that require programmatic access to travel histories. The tool takes in queries and parameters, and outputs detailed travel statistics, trip information, and search results, making it ideal for use cases such as travel recommendation systems and personalized itinerary planning.

Canonical page: https://skillsregistry.net/skills/remuzel-polarsteps  
JSON: https://api.skillsregistry.net/v1/skills/remuzel-polarsteps

## Description

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.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/remuzel-polarsteps)
- **Repository:** <https://github.com/remuzel/polarsteps-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "remuzel-polarsteps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/remuzel-polarsteps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/remuzel-polarsteps/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt