Raccoonai

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Raccoon AI's Model Context Protocol (MCP) server that enables leveraging the LAM API for web browsing, data extraction, and complex web tasks automation.

What can you do with this?

• Search and browse websites
• Fill out forms and navigate UI elements
• Extract structured data based on defined schemas
• Handle multistep processes across websites

Prerequisites

Before using the Raccoon LAM MCP server, you'll need:

• Python 3.8 or higher
• Claude Desktop or another MCP-compatible client
• Raccoon AI Secret Key and your Raccoon Passcode

Installation

Using Smithery

npx -y @smithery/cli@latest install @raccoonaihq/raccoonai-mcp-server --client claude

From source

git clone https://github.com/raccoonaihq/raccoonai-mcp-server.git

cd raccoonai-mcp-server

uv pip install -e .

To configure in Claude Desktop

mcp install src/raccoonai_mcp_server/server.py -v RACCOON_SECRET_KEY=<RACCOON_SECRET_KEY> -v RACCOON_PASSCODE=<RACCOON_PASSCODE>

Replace <RACCOON_SECRET_KEY> and <RACCOON_PASSCODE> with your actual creds. You can find them here.

Examples

Here are some example prompts that can be used with Claude to perform a variety of web tasks:

1. Can you extract product information from Amazon.com for the top-rated gaming keyboards?
2. Find and summarize the latest news articles about renewable energy technologies.
3. Find the 3 latest iPhone models and extract the details in a schema.
4. Do a deepsearch and generate a detailed report on Small Language Models.

Documentation

For more information, refer to:

• Raccoon LAM API Documentation
• Model Context Protocol Documentation