Raccoon AI LAM API

v1.0.0Browser Automationstable

MCP server for raccoon ai lam api

browser-automation
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What is Raccoon AI LAM API?

Raccoon AI LAM API is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for raccoon ai lam api

MCP server for raccoon ai lam api

This server falls under the Browser Automation category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for raccoon ai lam api

Use Cases

AI-powered browser automation
Large action model interaction
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y raccoon-ai-(lam-api)

Manual Installation

npx -y raccoon-ai-(lam-api)

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Raccoon AI LAM API

What is Raccoon AI LAM API?

Raccoon AI LAM API is a Model Context Protocol (MCP) server that mcp server for raccoon ai lam api It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Raccoon AI LAM API?

Install via npm with the command: npx -y raccoon-ai-(lam-api). Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Raccoon AI LAM API?

Raccoon AI LAM API works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Raccoon AI LAM API free to use?

Yes, Raccoon AI LAM API is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Browser Automation MCP Servers

Explore all browser automation servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "raccoon-ai-lam-api": { "command": "npx", "args": ["-y", "raccoon-ai-(lam-api)"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Raccoon AI LAM API?

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