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MCP server · AI

grok2-image-server

Grok2 Image MCP Server

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About grok2-image-server

grok2-image-server is an MCP server published by git+fl0w1nd in the AI category: grok2 Image MCP Server. It has been installed 0 times through Conduid.

Install

Install
npx grok2-image-mcp-server
Claude Code
claude mcp add grok2-image-mcp-server-gitfl0w1 -- npx -y grok2-image-mcp-server
npx
npx -y grok2-image-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Grok Image MCP

English | 中文


An MCP (Model Context Protocol) server for image generation and editing using the Grok image model from xAI.

Note: This package was previously published as grok2-image-mcp-server. That package is now deprecated — please use grok-image-mcp instead.

Features

  • Image Generation — Generate images from text prompts with configurable aspect ratio, resolution, and batch count
  • Image Editing — Edit existing images with natural language instructions, supporting 1–3 source images
  • Local File Support — Provide local image paths for editing; the server reads and encodes them automatically
  • Image Proxy — Optional proxy domain for imgen.x.ai to handle network restrictions
  • HTTP Proxy — Optional network proxy for API requests

Installation

Using npx (recommended)

{
  "mcpServers": {
    "grok_image": {
      "command": "npx",
      "args": ["grok-image-mcp"],
      "env": {
        "XAIAPI_KEY": "your-xai-api-key"
      }
    }
  }
}

Tools

generate_image

Generate images from text prompts.

Parameter Type Required Description
prompt string Text description of the image to generate
n number Number of images (1–10, default 1)
aspect_ratio string Aspect ratio (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, auto, etc.)
resolution string Resolution (1k or 2k, default 1k)

edit_image

Edit existing images using a text prompt.

Parameter Type Required Description
prompt string Text description of the desired edits
image_urls string[] 1–3 source images: URLs, base64 data URIs, or local file paths
n number Number of output images (1–10, default 1)
aspect_ratio string Override output aspect ratio (default: follows first input image)
resolution string Resolution (1k or 2k, default 1k)

Environment Variables

Variable Required Description
XAIAPI_KEY xAI API key
XAIAPI_BASE_URL API base URL (default: https://api.x.ai/v1). Use a proxy if the API is inaccessible
IMAGE_PROXY_DOMAIN Proxy domain to replace imgen.x.ai in returned image URLs
HTTP_PROXY HTTP/HTTPS proxy for API requests (e.g. http://127.0.0.1:7890)

Proxy Examples

API proxy:

XAIAPI_BASE_URL=https://api-proxy.me/xai/v1

Image proxy:

IMAGE_PROXY_DOMAIN=https://image.proxy.workers.dev

Network proxy:

HTTP_PROXY=http://127.0.0.1:7890

Using Cloudflare Workers to Proxy Image URLs

If image URLs from imgen.x.ai are inaccessible, deploy a Cloudflare Worker as a reverse proxy and set IMAGE_PROXY_DOMAIN to your custom domain:

addEventListener('fetch', event => {
  event.respondWith(handleRequest(event.request))
})

const TARGET_DOMAIN = 'imgen.x.ai'

async function handleRequest(request) {
  const url = new URL(request.url)
  const targetUrl = `https://${TARGET_DOMAIN}${url.pathname}${url.search}`

  const init = {
    method: request.method,
    headers: request.headers,
    body: request.method === 'GET' || request.method === 'HEAD' ? undefined : request.body,
    redirect: 'follow'
  }

  const response = await fetch(targetUrl, init)

  const newHeaders = new Headers(response.headers)
  newHeaders.set('Access-Control-Allow-Origin', '*')

  return new Response(response.body, {
    status: response.status,
    statusText: response.statusText,
    headers: newHeaders
  })
}

License

MIT


基于 MCP 协议的 Grok 图像生成与编辑服务。

注意: 此包的前身是 grok2-image-mcp-server,该包已弃用,请使用 grok-image-mcp

功能

  • 图像生成 — 通过文本提示生成图像,可配置宽高比、分辨率和批量数量
  • 图像编辑 — 使用自然语言编辑现有图像,支持 1–3 张源图
  • 本地文件支持 — 可提供本地图片路径进行编辑,服务端自动读取并编码
  • 图片代理 — 可选代理域名替换 imgen.x.ai,解决网络访问问题
  • 网络代理 — 支持 HTTP/HTTPS 代理

安装

使用 npx(推荐)

{
  "mcpServers": {
    "grok_image": {
      "command": "npx",
      "args": ["grok-image-mcp"],
      "env": {
        "XAIAPI_KEY": "你的 xAI API 密钥"
      }
    }
  }
}

工具

generate_image

通过文本提示生成图像。

参数 类型 必填 说明
prompt string 描述要生成的图像内容
n number 生成数量(1–10,默认 1)
aspect_ratio string 宽高比(1:116:99:164:33:43:22:32:11:2auto 等)
resolution string 分辨率(1k2k,默认 1k)

edit_image

使用文本提示编辑现有图像。

参数 类型 必填 说明
prompt string 描述所需的编辑内容
image_urls string[] 1–3 张源图:URL、base64 data URI 或本地文件路径
n number 输出图像数量(1–10,默认 1)
aspect_ratio string 覆盖输出宽高比(默认跟随第一张输入图)
resolution string 分辨率(1k2k,默认 1k)

环境变量

变量 必填 说明
XAIAPI_KEY xAI API 密钥
XAIAPI_BASE_URL API 基础地址(默认 https://api.x.ai/v1),可填写代理地址
IMAGE_PROXY_DOMAIN 图片代理域名,替换返回 URL 中的 imgen.x.ai
HTTP_PROXY HTTP/HTTPS 网络代理地址(如 http://127.0.0.1:7890

代理示例

API 代理

XAIAPI_BASE_URL=https://api-proxy.me/xai/v1

图片代理

IMAGE_PROXY_DOMAIN=https://image.proxy.workers.dev

网络代理

HTTP_PROXY=http://127.0.0.1:7890

使用 Cloudflare Workers 代理图片 URL

如果 imgen.x.ai 的图片无法访问,可部署 Cloudflare Worker 反向代理,然后将 IMAGE_PROXY_DOMAIN 设为你的自定义域名:

addEventListener('fetch', event => {
  event.respondWith(handleRequest(event.request))
})

const TARGET_DOMAIN = 'imgen.x.ai'

async function handleRequest(request) {
  const url = new URL(request.url)
  const targetUrl = `https://${TARGET_DOMAIN}${url.pathname}${url.search}`

  const init = {
    method: request.method,
    headers: request.headers,
    body: request.method === 'GET' || request.method === 'HEAD' ? undefined : request.body,
    redirect: 'follow'
  }

  const response = await fetch(targetUrl, init)

  const newHeaders = new Headers(response.headers)
  newHeaders.set('Access-Control-Allow-Origin', '*')

  return new Response(response.body, {
    status: response.status,
    statusText: response.statusText,
    headers: newHeaders
  })
}

许可证

MIT

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About grok2-image-server

How do I install grok2-image-server?

Run npx grok2-image-mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is grok2-image-server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is grok2-image-server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.