Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
MCP server for context-aware royalty-free image search from Pexels and Unsplash
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。
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。
选择你使用的 AI 应用,然后复制设置。
PEXELS_API_KEY, UNSPLASH_ACCESS_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
你用的是哪个应用?
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": {
"image-resolver": {
"command": "npx",
"args": [
"-y",
"@ahmaddioxide/mcp-image-resolver"
],
"env": {
"PEXELS_API_KEY": "your-value",
"UNSPLASH_ACCESS_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add image-resolver --env PEXELS_API_KEY=your-value --env UNSPLASH_ACCESS_KEY=your-value -- npx -y @ahmaddioxide/mcp-image-resolver运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"image-resolver": {
"command": "npx",
"args": [
"-y",
"@ahmaddioxide/mcp-image-resolver"
],
"env": {
"PEXELS_API_KEY": "your-value",
"UNSPLASH_ACCESS_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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"image-resolver": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ahmaddioxide/mcp-image-resolver"
],
"env": {
"PEXELS_API_KEY": "your-value",
"UNSPLASH_ACCESS_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。
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。
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6日
注册名称已通过 GitHub 账户 ahmaddioxide 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:PEXELS_API_KEY, UNSPLASH_ACCESS_KEY
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)。
GitHub 仓库最后更新于–,最新版本(0.2.0)于8个月前进入注册中心。
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。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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。
An MCP (Model Context Protocol) server that provides royalty-free image search for AI hosts like Cursor, Claude Desktop, VS Code, Windsurf, and more. Ask your AI assistant to find images by natural language—it uses the search_images tool and returns structured results from Pexels and Unsplash.
No cloning or building needed. Just add this config to your MCP client and it runs via npx automatically:
{
"mcpServers": { "image-resolver": { "command": "npx", "args": ["-y", "@ahmaddioxide/mcp-image-resolver"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
At least one API key is required. Both are free — get them here:
┌─────────────────────────────────────────────────────────────────────────────┐
│ MCP Client (Cursor, Claude, VS Code, etc.) │ │ │ │ │ stdio (stdin/stdout) │ └─────────────────────────────────────┼───────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────────────────┐ │ MCP Image Resolver Server │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ index.ts MCP server entry, registers tools, stdio transport│ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ tools/search-images.ts Tool handler: search_images(query) │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌──────────────────────┐ ┌──────────────────────┐ │ │ │ providers/pexels.ts │ │ providers/unsplash.ts │ │ │ │ Pexels API adapter │ │ Unsplash API adapter │──▶ ImageResult schema │ │ └──────────────────────┘ └──────────────────────┘ │ │ │ │ │ │ └────────────────────────┴────▶ utils/normalize.ts │ └─────────────────────────────────────┼───────────────────────────────────────┘ │ ┌─────────────────┴─────────────────┐ ▼ ▼ ┌──────────────────────────────┐ ┌──────────────────────────────────────────┐ │ Pexels API │ │ Unsplash API │ │ api.pexels.com │ │ api.unsplash.com │ └──────────────────────────────┘ └──────────────────────────────────────────┘
Flow: MCP client → stdio → index.ts (registers tools) → search-images.ts → Pexels and Unsplash providers (when keys are set). Results are merged (Pexels first, then Unsplash) and normalized to the unified ImageResult schema.
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "image-resolver": { "command": "npx", "args": ["-y", "@ahmaddioxide/mcp-image-resolver"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
Restart Cursor after config changes.
Add to your Claude config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonVia Settings: Developer → Edit Config
{
"mcpServers": { "image-resolver": { "command": "npx", "args": ["-y", "@ahmaddioxide/mcp-image-resolver"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
Restart Claude Desktop completely after saving.
Add to .vscode/mcp.json (workspace) or your user profile mcp.json:
{
"servers": { "image-resolver": { "type": "stdio", "command": "npx", "args": ["-y", "@ahmaddioxide/mcp-image-resolver"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
Note: VS Code uses
servers(notmcpServers) and requires"type": "stdio".
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "image-resolver": { "command": "npx", "args": ["-y", "@ahmaddioxide/mcp-image-resolver"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
Refresh the MCP config after changes.
Any client that supports stdio MCP servers (Amp, Continue.dev, Amazon Q, etc.) can use this server:
npx["-y", "@ahmaddioxide/mcp-image-resolver"]{ "PEXELS_API_KEY": "your-key", "UNSPLASH_ACCESS_KEY": "your-key" } (at least one required)Once configured, ask your AI assistant to find images in natural language. It will call the search_images tool automatically.
Example prompts:
The tool returns image URLs and metadata. Use the links to view or download images.
| Tool | Params | Description |
|---|---|---|
| search_images | query, limit?, page?, orientation? | Search images from Pexels and Unsplash |
| extract_image_query | context | Extract search terms from free-form text |
| get_best_image | query, orientation? | Return a single best image |
| search_images_batch | queries, limit? | Run multiple searches in parallel |
| resolve_image_attribution | photographer, source, url? | Generate attribution text |
Response: JSON with results array of { url, source, width, height, photographer, tags }. Each result includes source ("Pexels" or "Unsplash") for attribution.
Note: When both providers are configured, results are merged with Pexels first, then Unsplash. Use limit: 20 or higher to see results from both providers in a single search.
Example prompts to verify the tools:
To contribute or run locally, clone the repo and build from source:
git clone https://github.com/ahmaddioxide/image-resolver-mcp.git
cd image-resolver-mcp npm install cp .env.example .env
npm run build
Or run in development mode without building, using tsx:
{
"mcpServers": { "image-resolver": { "command": "npx", "args": ["tsx", "/path/to/image-resolver-mcp/src/index.ts"], "env": { "PEXELS_API_KEY": "your-pexels-api-key", "UNSPLASH_ACCESS_KEY": "your-unsplash-access-key" } } } }
Images are sourced from Pexels and Unsplash. Per their API terms:
photographer and source; use resolve_image_attribution for compliant textContributions are welcome. Please read CONTRIBUTING.md for guidelines and CODE_OF_CONDUCT.md for community standards. See SECURITY.md for vulnerability reporting.
MIT — see LICENSE.