# Raccoon AI (LAM API)

> Use this tool when you need to automate web browsing, extract data, or perform complex web tasks without direct browser access. It solves problems such as web scraping, form filling, and UI navigation, and provides outputs like extracted structured data. The Raccoon AI LAM API takes inputs like a Secret Key and Passcode, and is ideal for use cases requiring web automation and data extraction in Python 3.10+ environments.

Canonical page: https://skillsregistry.net/skills/raccoonai-lam  
JSON: https://api.skillsregistry.net/v1/skills/raccoonai-lam

## Description

The Raccoon AI MCP Server enables AI assistants to perform web browsing, data extraction, and complex web task automation through Raccoon's LAM API. Built for Python 3.10+ environments, it allows users to search websites, fill forms, navigate UI elements, extract structured data based on defined schemas, and handle multi-step processes across websites. The server requires a Raccoon AI Secret Key and Passcode from the Raccoon platform, and can be installed via Smithery or from source, making it particularly valuable for workflows requiring web automation and data extraction capabilities without direct browser access.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/raccoonai-lam)
- **Repository:** <https://github.com/raccoonaihq/raccoonai-mcp-server>

## 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": "raccoonai-lam"
    }
  }
}
```

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