Raccoon AI MCP Server
About
# Raccoon AI MCP Server [](https://smithery.ai/server/@raccoonaihq/raccoonai-mcp-server) [](https://modelcontextprotocol.io) Raccoon AI's Model Context Protocol (MCP) server that…
Explore
- Search and browse websites programmatically
- Fill out forms and navigate UI elements
- Extract structured data based on defined schemas
- Handle multistep processes across websites
- Leverages LAM API for autonomous web interaction
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Raccoon AI MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"raccoon ai mcp server": {
"raccoonai-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"install",
"@raccoonaihq/raccoonai-mcp-server",
"--client",
"claude"
]
}
}
}
}McpServers
{
"raccoonai-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"install",
"@raccoonaihq/raccoonai-mcp-server",
"--client",
"claude"
]
}
}
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
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