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.
@rocnubie
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"llamaai-mcp": {
"command": "node",
"args": [
"/absolute/path/to/llamaai-mcp/src/index.mjs"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
No. The server provides read-only access to public information on llamaai.online and requires no API keys or authentication.
Node.js version 18 or later is required. The server runs over stdio with no additional services.
Yes. All exposed tools, resources, and prompts are read-only. No write operations are supported.
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`.
The server communicates over stdio, the standard MCP transport.
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