ElevenLabs Image Generation MCP Server

ElevenLabs Image Generation MCP Server

Generates images from text prompts using ElevenLabs' image generation API via browser automation, with support for multiple models and persistent authentication.

Category
访问服务器

README

ElevenLabs Image Generation MCP Server

An MCP (Model Context Protocol) server that generates images using ElevenLabs' Image & Video feature via Playwright browser automation.

Features

  • generate_image - Generate images from text prompts using ElevenLabs
  • list_models - List available image generation models
  • get_session_status - Check authentication status

Available Models

Model ID Name Description
gpt-image-1.5 GPT Image 1.5 (default) OpenAI - precise, high-quality generation
gpt-image-1 GPT Image 1 OpenAI - text-based creation and editing
flux-kontext-pro Flux 1 Kontext Pro Professional style control via reference images
seedream-4 Seedream 4 Multi-shot sequences with stable physics
nano-banana Nano Banana (Google) High-speed iterations
wan-2.5 Wan 2.5 Strong prompt fidelity

Installation

# Clone the repository
git clone git@github.com:ddunford/elevenlabMCP.git
cd elevenlabMCP

# Install dependencies
npm install

# Build
npm run build

# Install Playwright browser
npx playwright install chromium

Quick Setup (One-Liner)

Add to Claude Code globally:

claude mcp add elevenlabs-image -s user -- node /path/to/elevenlabMCP/dist/index.js

Or manually add to ~/.claude.json:

{
  "mcpServers": {
    "elevenlabs-image": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/elevenlabMCP/dist/index.js"],
      "env": {}
    }
  }
}

Usage

In Claude Code

After adding the MCP server, restart Claude Code. The tools will be available as:

  • mcp__elevenlabs-image__generate_image
  • mcp__elevenlabs-image__list_models
  • mcp__elevenlabs-image__get_session_status

generate_image

Generate an image from a text prompt.

Parameters:

Parameter Required Description
prompt Yes Text description of the image to generate
model No Model ID (default: gpt-image-1.5)
savePath No Directory to save image (default: assets/)
aspectRatio No e.g., "1:1", "16:9", "9:16"
negativePrompt No What to avoid in the image
email No ElevenLabs account email (for first-time auth)
password No ElevenLabs account password (for first-time auth)

Example:

Generate an image of a cyberpunk city at night with neon lights

list_models

Returns all available image generation models with their capabilities.

get_session_status

Check if currently logged in to ElevenLabs.

Authentication

On first use, provide your ElevenLabs credentials via the email and password parameters. The session is persisted in .auth/ so subsequent calls don't require credentials.

How It Works

  1. Uses Playwright to automate the ElevenLabs web interface (no API available for image generation)
  2. Maintains a persistent browser session for authentication
  3. Navigates to the Image & Video page
  4. Enters prompts and generates images
  5. Downloads generated images from the History page

Project Structure

elevenlabMCP/
├── src/
│   ├── index.ts              # Entry point
│   ├── server.ts             # MCP server setup
│   ├── tools/                # MCP tool implementations
│   ├── browser/              # Playwright automation
│   ├── auth/                 # Authentication handling
│   └── config/               # Configuration
├── dist/                     # Compiled JavaScript
├── assets/                   # Generated images output
└── .auth/                    # Session storage (gitignored)

Environment Variables (Optional)

Create a .env file:

ELEVENLABS_EMAIL=your@email.com
ELEVENLABS_PASSWORD=yourpassword
HEADLESS=true  # Set to false for debugging

Notes

  • Image generation typically takes 30-60 seconds
  • Generated images are saved as WebP files
  • The browser runs headless by default; set HEADLESS=false to see the browser

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选