Midjourney Best Experience MCP Server
An MCP server that provides access to the Midjourney Best Experience API for generating and manipulating images. It enables users to execute prompts and perform actions like upscaling, variations, and zooming directly within MCP-compatible applications.
README
Midjourney Best Experience MCP Server
用于访问 Midjourney Best Experience API 的 MCP 服务器。
🚀 使用 EMCP 平台快速体验
EMCP 是一个强大的 MCP 服务器管理平台,让您无需手动配置即可快速使用各种 MCP 服务器!
快速开始:
- 🌐 访问 EMCP 平台
- 📝 注册并登录账号
- 🎯 进入 MCP 广场,浏览所有可用的 MCP 服务器
- 🔍 搜索或找到本服务器(
bach-midjourney_best_experience) - 🎉 点击 "安装 MCP" 按钮
- ✅ 完成!即可在您的应用中使用
EMCP 平台优势:
- ✨ 零配置:无需手动编辑配置文件
- 🎨 可视化管理:图形界面轻松管理所有 MCP 服务器
- 🔐 安全可靠:统一管理 API 密钥和认证信息
- 🚀 一键安装:MCP 广场提供丰富的服务器选择
- 📊 使用统计:实时查看服务调用情况
立即访问 EMCP 平台 开始您的 MCP 之旅!
简介
这是一个 MCP 服务器,用于访问 Midjourney Best Experience API。
- PyPI 包名:
bach-midjourney_best_experience - 版本: 1.0.0
- 传输协议: stdio
安装
从 PyPI 安装:
pip install bach-midjourney_best_experience
从源码安装:
pip install -e .
运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-midjourney_best_experience bach_midjourney_best_experience
# 或指定版本
uvx --from bach-midjourney_best_experience@latest bach_midjourney_best_experience
方式 2: 直接运行(开发模式)
python server.py
方式 3: 安装后作为命令运行
# 安装
pip install bach-midjourney_best_experience
# 运行(命令名使用下划线)
bach_midjourney_best_experience
配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"
环境变量
| 变量名 | 说明 | 必需 |
|---|---|---|
API_KEY |
API 密钥 | 是 |
PORT |
不适用 | 否 |
HOST |
不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-midjourney_best_experience": {
"command": "uvx",
"args": ["--from", "bach-midjourney_best_experience", "bach_midjourney_best_experience"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}
在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-midjourney_best_experience": {
"command": "uvx",
"args": ["--from", "bach-midjourney_best_experience", "bach_midjourney_best_experience"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}
可用工具
此服务器提供以下工具:
action_relaxuu0026v
- Do the relax action - You can perform upsample (same as the UI, U2...), variation (V1, V2...), zoom out 1.5x, zoom out 2x, pan, and other operations on the images generated in the first step
端点: POST /mj/action-relax
参数:
-
action(string) 必需: the action is the enumeration values returned in the action list in the callback -
image_id(string) 必需: the params image_id in the relax job callback or task_id eg: 9c4410a2-2bb4-2428-b0e4-0a3b41f48e3b -
hook_url(string): if set will notify the result to your hook_url
action_fastuu0026v
- Do the fast action - You can perform upsample (same as the UI, U2...), variation (V1, V2...), zoom out 1.5x, zoom out 2x, pan, and other operations on the images generated in the first step
端点: POST /mj/action-fast
参数:
-
action(string) 必需: the action is the enumeration values returned in the action list in the callback -
image_id(string) 必需: the params image_id in the fast job callback or task_id eg: 6a028074-884e-7840-2ef4-715a5ab3b6c7 -
hook_url(string): Example value: https://www.google.com
generate_relax
generate the images relax Generate queue asynchronous notifications to hook_ url, overall generation time is Depends on account status and task queuing
端点: POST /mj/generate-relax
参数:
-
prompt(string) 必需: Example value: a beautiful cat --ar 1920:1080 -
hook_url(string): if set will notify the result to your hook_url
generate_fast
generate the images fast Generate queue asynchronous notifications to hook_ url, overall generation time is around 40-60s
端点: POST /mj/generate-fast
参数:
-
prompt(string) 必需: Example value: a beautiful cat --ar 1920:1080 -
hook_url(string): if set will notify the result to your hook_url
get_job_by_task_id
you can get the generate job and action job status by the task_id, and the task_id will expired at 24 hours after
端点: GET /mj/get-task-id
参数:
task_id(string) 必需: Example value: 6ddd8121-2ae4-af61-b73d-eaefc8318d09
技术栈
- 传输协议: stdio
- HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.