# @striderlabs/mcp-american

> @striderlabs/mcp-american — markswendsen-code-mcp-american. Use this tool when you need to automate interactions with American Airlines' website, such as searching flights or managing bookings, to streamline travel planning and rewards management. It solves problems related to manual data entry and navigation, providing a seamless interface for AI agents to input travel preferences and receive output in the form of booking confirmations or boarding passes. Ideal for use cases requiring automated access to American Airlines' services, including flight searches and AAdvantage rewards management.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-american  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-american

## Description

Enables AI agents to search flights, manage bookings, check in, retrieve boarding passes, and access AAdvantage rewards on American Airlines' website via Playwright browser automation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/poqmkgokrw)
- **Repository:** <https://github.com/markswendsen-code/mcp-american>

## 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": "markswendsen-code-mcp-american"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-american` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-american/pull`

---
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