Raccoon AI MCP Server
by raccoonaihq
Raccoon AI's Model Context Protocol (MCP) server enables leveraging the LAM API for web browsing, data extraction, and complex web tasks automation. It allows you to integrate web interaction capabilities into your AI workflows.
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What is Raccoon AI MCP Server?
The Raccoon AI MCP Server is an implementation of the Model Context Protocol (MCP) that allows AI models to interact with the web using Raccoon AI's LAM API. It enables tasks like web browsing, data extraction, and automating complex web workflows.
How to use Raccoon AI MCP Server?
To use the server, you need Python 3.8+, Claude Desktop (or another MCP-compatible client), and a Raccoon AI Secret Key and Passcode. You can install it using Smithery or from source. After installation, configure it within Claude Desktop using the provided command, replacing placeholders with your actual credentials.
Key features of Raccoon AI MCP Server
Web browsing and searching
Form filling and UI navigation
Structured data extraction based on schemas
Handling multistep processes across websites
Use cases of Raccoon AI MCP Server
Extracting product information from e-commerce sites
Summarizing news articles
Retrieving and structuring data about specific topics
Generating reports based on web research
FAQ from Raccoon AI MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standard protocol that allows AI models to interact with external tools and services, such as web browsers.
What is the Raccoon AI LAM API?
What is the Raccoon AI LAM API?
The LAM API provides the functionality for web browsing, data extraction, and other web-related tasks.
Where can I find my Raccoon AI Secret Key and Passcode?
Where can I find my Raccoon AI Secret Key and Passcode?
You can find your credentials on the Raccoon AI platform.
What clients are compatible with the Raccoon AI MCP Server?
What clients are compatible with the Raccoon AI MCP Server?
Claude Desktop is explicitly mentioned as a compatible client, but any MCP-compatible client should work.
Where can I find more documentation?
Where can I find more documentation?
Refer to the Raccoon LAM API Documentation and the Model Context Protocol Documentation for more information.