What LLM models does element-plus-mcp support?
It supports DeepSeek (default), OpenAI, Anthropic, and Google Gemini, configurable via environment variables.
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基本情報
element-plush mcp server
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
element-plus-mcp is an MCP (Model Context Protocol) server that generates Element Plus Vue components on demand using large language models (LLMs). It is designed for developers who want to quickly scaffold Vue components by describing them in natural language, with support for multiple LLM providers and a built-in live preview service.
Configure API keys in a .env file (supports DeepSeek, OpenAI, Anthropic, Gemini). Start the server, then send HTTP requests to the /api/mcp/generate endpoint with a userPrompt and optional llmConfig. For MCP protocol usage, send JSON-RPC calls to /api/mcp-protocol/mcp or use SSE connections at /api/mcp-protocol/sse. Use the /api/mcp/models endpoint to list available models.
It supports DeepSeek (default), OpenAI, Anthropic, and Google Gemini, configurable via environment variables.
The server uses an LRU cache for component descriptions and completions to avoid redundant API calls, but no persistent data storage is mentioned.
You can connect via HTTP JSON-RPC at `/api/mcp-protocol/mcp` or via SSE at `/api/mcp-protocol/sse`. The server also provides a standard HTTP generation endpoint at `/api/mcp/generate`.
The README mentions concurrency control via a task queue to prevent token overruns and rate limits, but no specific limits are given.
No authentication is mentioned in the README; API keys are configured server-side in the `.env` file for LLM providers.

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