Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
MCP server for context-aware royalty-free image search from Pexels and Unsplash
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
PEXELS_API_KEY, UNSPLASH_ACCESS_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
claude mcp add image-resolver --env PEXELS_API_KEY=your-value --env UNSPLASH_ACCESS_KEY=your-value -- npx -y @ahmaddioxide/mcp-image-resolverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"image-resolver": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ahmaddioxide/mcp-image-resolver"
],
"env": {
"PEXELS_API_KEY": "your-value",
"UNSPLASH_ACCESS_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account ahmaddioxide, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: PEXELS_API_KEY, UNSPLASH_ACCESS_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.