raccoonai-mcp-server

# Raccoon AI MCP Server [](https://smithery.ai/server/@raccoonaihq/raccoonai-mcp-server) [](https://modelcontextprotocol.io) 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](https://claude.ai/download) or another MCP-compatible client - Raccoon AI Secret Key and your Raccoon Passcode ## Installation ### Using Smithery ```bash npx -y @smithery/cli@latest install @raccoonaihq/raccoonai-mcp-server --client claude ``` ### From source ```bash git clone https://github.com/raccoonaihq/raccoonai-mcp-server.git ``` ```bash cd raccoonai-mcp-server ``` ```bash uv pip install -e . ``` #### To configure in Claude Desktop ```bash 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](https://platform.flyingraccoon.tech). ## 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](https://docs.flyingraccoon.tech/reference/lam/run) - [Model Context Protocol Documentation](https://modelcontextprotocol.io)