Raccoon AI MCP Server

Leverages the LAM API for web browsing, data extraction, and complex web tasks automation.

Local serverstdioPython 1

What is the Raccoon AI MCP server?

Connect Raccoon AI to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Leverages the LAM API for web browsing, data extraction, and complex web tasks automation. The raccoon ai mcp server is what makes that connection.

What the server does

Raccoon AI's Model Context Protocol (MCP) server that enables leveraging the LAM API for web browsing, data extraction, and complex web tasks automation.

Installation

Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Credentials and setup notes

Configuration is passed through the environment: RACCOON_SECRET_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

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

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by raccoonaihq; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Raccoon AI's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the Raccoon AI MCP server

{
  "mcpServers": {
    "raccoon-ai": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"],
      "env": {
        "RACCOON_SECRET_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

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

VariableDescriptionRequired
RACCOON_SECRET_KEYCredential the server authenticates with.Yes

Frequently asked questions

The LAM API (likely referring to a Large Action Model API) is used by Raccoon AI to facilitate automated interactions with websites, enabling features like browsing, data extraction, and form submission.