Raccoon AI MCP Server

by raccoonaihq

178 downloads
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Description

# Raccoon AI MCP Server [![smithery badge](https://smithery.ai/badge/@raccoonaihq/raccoonai-mcp-server)](https://smithery.ai/server/@raccoonaihq/raccoonai-mcp-server) [![MCP Spec](https://img.shields.io/badge/mcp-compatible-green)](https://modelcontextprotocol.io) Raccoon AI's…

About

# Raccoon AI MCP Server [![smithery badge](https://smithery.ai/badge/@raccoonaihq/raccoonai-mcp-server)](https://smithery.ai/server/@raccoonaihq/raccoonai-mcp-server) [![MCP Spec](https://img.shields.io/badge/mcp-compatible-green)](https://modelcontextprotocol.io) Raccoon AI's Model Context Protocol (MCP) server that…

Details

Author
raccoonaihq
Downloads
178
Categories
Other

- 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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Raccoon AI MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via Smithery or from source using uv pip install -e ., then configure with your Raccoon AI Secret Key and Passcode via mcp install src/raccoonai_mcp_server/server.py -v RACCOON_SECRET_KEY=... -v RACCOON_PASSCODE=.... Invoke web tasks using natural language prompts in Claude Desktop.

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 MCP Server

smithery badge
MCP Spec

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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