Aura AI MCP Server已验证已精选

@auraai.app

主页文档

基本信息

传输方式

streamable-http

认证方式

OAuth

分类

媒体与设计

作者

auraai.app

提交者

IYIA

关于 Aura AI MCP Server

Access 20+ AI video and image models from Google, OpenAI, xAI, ByteDance, and more. Generate and edit videos with Veo 3.1, Sora 2, Seedance, Kling O3, and images with FLUX, Nano Banana, Seedram 4, GPT Image — all in one platform. No watermark, HD quality.

#ai#image generator#image editor#video generator#video editor

连接信息

https://auraai.app/mcp

接入方式

claude mcp add aura-ai --transport http https://auraai.app/mcp

Aura AI MCP Server 工具

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。

此服务需要认证，获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Aura AI MCP

Aura AI exposes its full media-generation catalog as a Model Context Protocol server, so any MCP-compatible client (Claude Desktop, Claude Code, custom agents) can generate and edit images and videos directly, using the same models available on auraai.app.

Tools

list_capabilities — compact overview of every model available (image, image-edit, text-to-video, image-to-video, reference-to-video)
get_models — full detail for a single category: supported ratios, durations, resolutions, per-second pricing, audio support
generate_image — text-to-image across 15+ models (FLUX, Imagen 4, Ideogram V4 Instant / Fast, Nano Banana 2, Grok, GPT Image 2, Seedream 5, MAI Image 2.5, and more)
generate_video — text-to-video and image-to-video across 30+ models (Veo 3.1, Sora 2 Pro, Kling O3 4K, Seedance 2.0, Wan 2.7, HappyHorse, LTX 2.3, Luma Ray 2, Pixverse 5, Grok Video, and more)
edit_image — natural-language image editing with Seedream 5 Pro, Nano Banana 2 Edit, GPT Image 2 Edit, Grok Edit, Wan 2.7 Edit
reference_to_video — generate a video from 1–5 reference images (Kling O3 Reference, Veo 3.1 Reference, Seedance 2.0 Reference, Vidu Q2, Wan 2.7 Reference)
blog_to_video — one-shot: paste a blog post URL, get back a vertical UGC-style video with voiceover, b-roll and captions

Authentication

OAuth 2.0 with PKCE. The MCP server delegates authentication to auraai.app — users approve access in their browser, tokens are minted and stored client-side. No API keys to manage.

Requirements

An Aura AI account (free signup at auraai.app)
Image / video credits on the account (Starter plan and up for premium models and reference-to-video / blog-to-video)

Endpoint

https://auraai.app/mcp (Streamable HTTP + SSE for long-running generations)

Model selection

Every generative tool accepts selected_model: "auto" (default), which routes to the best model for the requested output and the user's plan. You can also pass an explicit model value from list_capabilities to pin the choice.

Docs

Full protocol docs and per-tool schemas at auraai.app/mcp.

常见问题

Aura AI 远程 MCP 服务器是什么?

Aura AI 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://auraai.app/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

怎么连接 Aura AI 的 MCP 服务器?

把端点 https://auraai.app/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。

Aura AI 的 MCP 服务器需要认证吗?

需要。Aura AI 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。

Aura AI 的 MCP 服务器用的是哪种传输方式?

Aura AI 暴露的是 streamable-http 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。