Img Src Io MCP

Name: Img Src Io MCP
Author: img-src-io

作者：img-src-io版本 0.2.5i★ –i在你的电脑上运行

注册名称io.github.img-src-io/mcp

安装

概览

作者提供的说明（英文原文）

MCP server for img-src.io Image CDN - upload, transform, and deliver images through AI assistants

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频
你需要填写：IMG_SRC_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： IMG_SRC_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "img-src-io": {
      "command": "npx",
      "args": [
        "-y",
        "@img-src/mcp-server"
      ],
      "env": {
        "IMG_SRC_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add img-src-io --env IMG_SRC_API_KEY=your-value -- npx -y @img-src/mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "img-src-io": {
      "command": "npx",
      "args": [
        "-y",
        "@img-src/mcp-server"
      ],
      "env": {
        "IMG_SRC_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "img-src-io": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@img-src/mcp-server"
      ],
      "env": {
        "IMG_SRC_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

IMG_SRC_API_KEY 机密必填 env
Your img-src.io API key

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 img-src-io 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2186 个服务器的 0%
发布到注册中心的时间比此分类中其他 2186 个服务器的 1% 更新
基础检查结果等于或优于此分类中其他 2186 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Img Src Io MCP 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：IMG_SRC_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.2.5）于9个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

img-src MCP Server

Model Context Protocol (MCP) server for img-src.io image hosting API.

This server enables AI assistants like Claude to interact with your img-src.io account - uploading, searching, listing, and managing images directly through natural language.

Installation

pnpm add -g @img-src/mcp-server

Or run directly with pnpm dlx:

pnpm dlx @img-src/mcp-server

Configuration

Environment Variables

Variable	Required	Description
`IMG_SRC_API_KEY`	Yes	Your img-src.io API key (starts with `imgsrc_`)
`IMG_SRC_API_URL`	No	API base URL (default: `https://api.img-src.io`)

Getting an API Key

Log in to img-src.io
Go to Settings > API Keys
Create a new API key
Copy the key (it starts with imgsrc_)

Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Usage with Claude Code

Add to your project's .mcp.json (project-scoped) or ~/.claude/mcp.json (global):

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Or add it via the CLI:

claude mcp add img-src -- npx @img-src/mcp-server

Then set the API key in your environment or .env file:

export IMG_SRC_API_KEY=imgsrc_your_api_key_here

Usage with Cursor

Open Cursor Settings (Cmd+, on macOS / Ctrl+, on Windows/Linux)
Navigate to Features > MCP Servers
Click "Add new MCP server"
Enter the following configuration:

Name: img-src
Type: command
Command: npx @img-src/mcp-server

Add the environment variable IMG_SRC_API_KEY with your API key.

Alternatively, create or edit .cursor/mcp.json in your project root:

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Usage with VS Code (GitHub Copilot)

Create .vscode/mcp.json in your workspace:

"servers": { "img-src": { "type": "stdio", "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Or add via CLI:

code --add-mcp '{"name":"img-src","command":"npx","args":["@img-src/mcp-server"],"env":{"IMG_SRC_API_KEY":"imgsrc_your_api_key_here"}}'

Note: VS Code uses "servers" (not "mcpServers") and requires "type": "stdio".

Usage with Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Usage with Cline

Open the Cline extension in VS Code, click the MCP Servers icon > Configure MCP Servers, then add:

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Usage with Zed

Add to your Zed settings (~/.config/zed/settings.json):

"context_servers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Note: Zed uses "context_servers" as the key, embedded within the main settings.json.

Usage with JetBrains IDEs

In IntelliJ IDEA, WebStorm, PyCharm, or other JetBrains IDEs:

Go to Settings > Tools > AI Assistant > Model Context Protocol (MCP)
Click + (Add) and paste:

"mcpServers": { "img-src": { "command": "npx", "args": ["@img-src/mcp-server"], "env": { "IMG_SRC_API_KEY": "imgsrc_your_api_key_here" } } } }

Available Tools

upload_image

Upload an image from a local file, URL, or base64 data to your img-src.io account.

Upload ~/Photos/sunset.jpg to img-src as photos/vacation/sunset.jpg

Parameters:

file_path (optional): Local file path to upload (recommended for large files)
url (optional): URL of the image to upload
data (optional): Base64-encoded image data
mimeType (optional): MIME type of the image (required when using data)
target_path (optional): Target path for organizing the image

Note: One of file_path, url, or data must be provided.

list_images

List images in your account, optionally within a specific folder.

List my img-src images in the photos/vacation folder

Parameters:

folder (optional): Folder path to list
limit (optional): Max items to return (default: 50)
offset (optional): Items to skip for pagination

search_images

Search for images by filename or path.

Search for img-src images containing "beach"

Parameters:

query (required): Search query
limit (optional): Max results (default: 20)
offset (optional): Results to skip

get_image

Get detailed metadata for a specific image.

Get details for my img-src image at photos/vacation/sunset.jpg

Parameters:

id (required): Image ID (UUID) or filepath

delete_image

Permanently delete an image.

Delete my img-src image at photos/old/unused.jpg

Parameters:

id (required): Image ID (UUID) or filepath to delete

get_usage

View your current usage statistics.

Show my img-src usage stats

get_settings

Get your account settings and configuration.

What are my img-src account settings?

get_cdn_url

Generate a CDN URL with optional image transformations.

Generate an img-src CDN URL for john/photos/beach.jpg resized to 800x600

Parameters:

username (required): Image owner's username
filepath (required): Image path
width (optional): Resize width
height (optional): Resize height
fit (optional): cover, contain, fill, scale-down
quality (optional): 1-100 (default: 80)
format (optional): webp, avif, jpeg, png, jxl

Resources

The MCP server exposes your images as resources that Claude can access directly:

URI format: imgsrc://images/{imageId}
Content: JSON metadata including dimensions, formats, and CDN URLs

Claude can list and read these resources to understand what images you have and their properties.

Prompts

Pre-built prompts for common workflows:

upload-and-share

Upload an image and get shareable CDN URLs.

Arguments: imageUrl (required), width (optional)

check-usage

Check account usage and storage status.

No arguments required

find-images

Search for images by keyword.

Arguments: query (required)

Example Conversations

Upload and share an image

User: Upload ~/Photos/sunset.jpg to img-src and give me a resized URL

Claude: I'll upload that image and generate a CDN URL for you.

[Uses upload_image tool]

Image uploaded successfully! Here's a resized CDN URL:

https://img-src.io/i/yourname/sunset.webp?w=1200&q=85

Search and organize

User: Find all my beach photos

Claude: [Uses search_images with query "beach"]

Found 5 beach photos:

1. photos/vacation/beach-sunset.jpg

2. photos/summer/beach-party.png

...

Check usage

User: How much storage am I using?

Claude: [Uses get_usage tool]

Your img-src.io usage:

- Storage: 245 MB / 500 MB (49%)

- Uploads: 67 / 100 this month

- Bandwidth: 1.2 GB / 1 GB (120% - consider upgrading!)

Development

# Install dependencies

pnpm install

Build

pnpm build

Run locally

IMG_SRC_API_KEY=imgsrc_xxx pnpm start

Type check

pnpm type-check

Run tests

pnpm test

License

MIT

Img Src Io MCP

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“设计、图片与音频”中的其他服务器比较i

常见问题

替代选择

Figma Context MCP

Claude Real Video

Figma MCP Server

作者的 README

img-src MCP Server

Installation

Configuration

Environment Variables

Getting an API Key

Usage with Claude Desktop

Usage with Claude Code

Usage with Cursor

Usage with VS Code (GitHub Copilot)

Usage with Windsurf

Usage with Cline

Usage with Zed

Usage with JetBrains IDEs

Available Tools

upload_image

list_images

search_images

get_image

delete_image

get_usage

get_settings

get_cdn_url

Resources

Prompts

upload-and-share

check-usage

find-images

Example Conversations

Upload and share an image

Search and organize

Check usage

Development

Build

Run locally

Type check

Run tests

License