# polarmcp

> Use this tool when you need to access Polar AccessLink Dynamic API v4 functionality locally, enabling AI agents to interact with the API without relying on external servers. It solves problems related to data privacy, latency, and dependency on remote services, providing a local-first solution for development and testing. The polarmcp server accepts git-based inputs and outputs API responses, ideal for use cases requiring secure and self-contained API interactions.

Canonical page: https://skillsregistry.net/skills/davidmosiah-polarmcp  
JSON: https://api.skillsregistry.net/v1/skills/davidmosiah-polarmcp

## Description

Unofficial local-first Polar AccessLink Dynamic API v4 MCP server for AI agents

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/davidmosiah/polarmcp)

## 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": "davidmosiah-polarmcp"
    }
  }
}
```

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