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Image Viewer

oguntolaibrahim/inchat-image-viewer-mcp
STDIOregistry active
Summary

Solves a specific pain point in VS Code Copilot Chat and Claude Desktop: AI models can't see images when you just paste file paths. Instead of dragging and dropping screenshots every time, you reference this server with #image-viewer followed by a path, and it exposes a view_image tool that converts the file to base64 and injects it inline. Supports PNG, JPEG, GIF, BMP, and WebP. Reach for this when you're debugging test failures with screenshots, comparing visual diffs, or analyzing UI bugs and want to stay in the flow without manual attachment steps. Runs via npx with zero config.

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InChat Image Viewer MCP

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.

Why This Exists

What DOESN'T Work in VS Code Copilot Chat

❌ 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 <attachments> - 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

What This MCP Solves

✅ 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


How It Works: Before vs After

WITHOUT InChat Image Viewer MCP

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.


WITH InChat Image Viewer MCP

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.


Features

  • 📸 Path-to-image: Type the path, AI sees the image
  • 🖼️ Multi-format: PNG, JPEG, GIF, BMP, WebP
  • ⚡ Zero-config: npx inchat-image-viewer-mcp just works
  • 🔌 Works with: VS Code Copilot Chat, Claude Desktop

Quick Start

1. Install (Optional)

npm install -g inchat-image-viewer-mcp
# or use npx (no install needed)

2. Add to Your AI Tool

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"]
    }
  }
}

3. Restart

Reload VS Code or restart Claude Desktop to load the MCP server.


Usage Examples

#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.


Supported Formats

PNG · JPEG · GIF · BMP · WebP


License

MIT

Made with 🤖 by Ibrahim Oguntola


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Categories
Communication & Messaging
Registryactive
Packageinchat-image-viewer-mcp
TransportSTDIO
UpdatedJan 21, 2026
View on GitHub

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