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)
InChat Image Viewer MCP - View images inline in AI chat by just providing the file path
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
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-viewer": {
"command": "npx",
"args": [
"-y",
"inchat-image-viewer-mcp"
]
}
}
}Run this in your terminal
claude mcp add image-viewer -- npx -y inchat-image-viewer-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"image-viewer": {
"command": "npx",
"args": [
"-y",
"inchat-image-viewer-mcp"
]
}
}
}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-viewer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"inchat-image-viewer-mcp"
]
}
}
}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.
Your choice stays on this device in a cookie; no account needed.
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 8, 2026
The registry name was verified with the GitHub account OguntolaIbrahim, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (1.0.1) reached the registry 10 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.
The Problem: GitHub Copilot Chat can't see images from file paths—only drag-and-drop works, breaking your workflow.
The Solution: Give AI the file path in plain text, and it sees the image instantly using this MCP.
❌ Plain file paths → AI can't see them
Show me C:\screenshots\bug.png
*Result: AI sees text, not the image*
❌ `#file:` references → Unreliable for images
#file:screenshot.png
*Result: Empty - AI sees nothing*
✅ Drag-and-drop → Works, but manual and disruptive *Result: AI sees image as base64 attachment, but you have to manually drag every single image*
✅ Plain file paths with MCP → AI sees images instantly
#image-viewer Show me C:\screenshots\bug.png
*Result: AI calls view_image tool and displays the image inline—no manual steps*
You: "Analyze C:\test-results\failure-screenshot.png"
AI receives:
<attachments></attachments> <!-- Empty! -->
Just sees the text path—no image data.
What you have to do: Stop, drag the file into chat, drop it, then ask again.
You: "#image-viewer Analyze C:\test-results\failure-screenshot.png"
AI receives:
{
"content": [ { "type": "text", "text": "Image: failure-screenshot.png (124,433 bytes)" }, { "type": "image", "data": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAIAAABnsVYU...", "mimeType": "image/png" } ] }
AI sees the full image inline automatically.
What you do: Nothing extra—just type naturally with #image-viewer.
npx inchat-image-viewer-mcp just worksnpm install -g inchat-image-viewer-mcp
VS Code Copilot Chat – mcp.json:
{
"servers": { "image-viewer": { "command": "npx", "args": ["inchat-image-viewer-mcp"] } } }
Claude Desktop – Config file (%APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": { "image-viewer": { "command": "npx", "args": ["inchat-image-viewer-mcp"] } } }
Reload VS Code or restart Claude Desktop to load the MCP server.
#image-viewer What's in C:\Users\me\screenshot.png?
#image-viewer Compare before.jpg and after.jpg in the results folder
#image-viewer Debug this error screenshot: D:\projects\test-failures\2026-01-20.png
The AI automatically uses the view_image tool—no manual attachment needed.
PNG · JPEG · GIF · BMP · WebP
MIT
Made with 🤖 by [Ibrahim Oguntola](https://github.com/OguntolaIbrahim)