Raccoon AI MCP Server: AI Automation & Multi-Cloud Security

Raccoon AI MCP Server: Transform operations with AI-driven automation, seamless multi-cloud orchestration, and fortified security for unmatched business agility.

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About Raccoon AI MCP Server

What is Raccoon AI MCP Server: AI Automation & Multi-Cloud Security?

Raccoon AI MCP Server is a specialized tool built on the Model Context Protocol (MCP) standard, designed to automate complex web tasks and ensure multi-cloud security. It leverages the LAM API to enable web browsing, data extraction, and seamless interaction with web interfaces, all while maintaining secure authentication through Raccoon AI's credentials.

How to use Raccoon AI MCP Server: AI Automation & Multi-Cloud Security?

To start using the server:

Ensure Python 3.8+ and an MCP-compatible client (e.g., Claude Desktop) are installed.
Obtain your Raccoon Secret Key and Passcode from your dashboard.
Choose installation via Smithery or directly from the source code.
Configure the server in your client with the provided credentials.

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

Raccoon AI MCP Server Features

Key Features of Raccoon AI MCP Server: AI Automation & Multi-Cloud Security?

Web Automation: Navigate UI elements, fill forms, and execute multistep workflows across websites.
Data Extraction: Structured data harvesting using predefined schemas (e.g., product specs, news summaries).
Security-first Design: Secure API access via encrypted credentials and role-based permissions.
Multi-Cloud Compatibility: Deploy seamlessly across cloud environments while maintaining data integrity.

Use cases of Raccoon AI MCP Server: AI Automation & Multi-Cloud Security?

Example scenarios include:

Aggregating competitor pricing data from e-commerce platforms.
Automating market research by scraping and analyzing industry reports.
Generating compliance reports by extracting policy details from legal websites.
Monitoring real-time news trends for content curation or sentiment analysis.

Raccoon AI MCP Server FAQ

FAQ from Raccoon AI MCP Server: AI Automation & Multi-Cloud Security?

Where do I find my Raccoon Secret Key?: Login to your account dashboard under the "API Access" section.
Can I use this with non-Claude clients?: Yes, as long as the client supports the MCP standard (check MCP docs for compatibility).
How do I troubleshoot installation errors?: Verify Python dependencies and ensure credentials are correctly formatted (no spaces or special characters).

Content

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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