raccoonai-mcp-server
Raccoon AI's Model Context Protocol (MCP) server enables leveraging the LAM API for web browsing, data extraction, and complex web tasks automation.
Raccoon AI MCP Server
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:
- Can you extract product information from Amazon.com for the top-rated gaming keyboards?
- Find and summarize the latest news articles about renewable energy technologies.
- Find the 3 latest iPhone models and extract the details in a schema.
- Do a deepsearch and generate a detailed report on Small Language Models.
Documentation
For more information, refer to:
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