Llama AI MCP Server

What is Llama AI MCP Server?

An MCP server that exposes the canonical Llama AI knowledge surface — models, prompts, chat workflows, pricing, FAQ, and official links — to MCP-compatible AI clients like Claude Desktop, Cursor, Windsurf, and Continue. It is read-only, requires no API keys, and starts in ~50 ms. Designed for developers and teams evaluating Meta's Llama 4 models before committing to infrastructure or API integration.

How to use Llama AI MCP Server?

Install via Smithery (npx -y @smithery/cli install llamaai-mcp --client claude) or clone the source and run pnpm install. Then add the server to your MCP client configuration (e.g., claude_desktop_config.json) with the command node /path/to/index.mjs. Use the tools list_models, get_pricing, and get_official_links, or the prompt start_chat_session_llamaai.

Key features of Llama AI MCP Server

• Read-only access to model lists, pricing, and official links.
• Zero-configuration setup; no API key required.
• Exposes prompts for site summaries and chat-evaluation sessions.
• Resources for models, pricing, FAQ, and links.
• Sub-100 ms cold start time.
• Compatible with multiple MCP clients (Claude, Cursor, Windsurf, Continue).

Use cases of Llama AI MCP Server

• Rapidly retrieve live model availability and pricing from within an AI assistant.
• Start a chat-evaluation session against Llama 4 models without leaving your MCP client.
• Share official site links and FAQ with team members through the assistant.
• Integrate Llama AI documentation lookup into code review or research workflows.

FAQ from Llama AI MCP Server

Does the server require an API key or external credentials?

No. The server provides read-only access to public information on llamaai.online and requires no API keys or authentication.

What are the runtime dependencies?

Node.js version 18 or later is required. The server runs over stdio with no additional services.

Is the server read-only?

Yes. All exposed tools, resources, and prompts are read-only. No write operations are supported.

How do I install it?

Use the Smithery CLI (npx -y @smithery/cli install llamaai-mcp --client claude) or clone the repository, run pnpm install, and configure your MCP client to execute node src/index.mjs.

What transports does it support?

The server communicates over stdio, the standard MCP transport.