vision-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@vision-mcpanalyze this image: C:/Users/me/screenshot.png"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vision MCP for Trae AI
OpenRouter-powered image analysis MCP. GLM 5.1 image বুঝে না, তাই এই MCP Gemini Flash দিয়ে image analyze করে।
Setup (3 step)
Step 1 — Install
cd vision-mcp
npm installStep 2 — Trae MCP Config
Trae AI → Settings → MCP Servers → Edit config JSON।
নিচের block টা mcpServers এর ভেতরে add করো:
"vision-mcp": {
"command": "node",
"args": ["C:/Users/TOMAR_NAME/vision-mcp/index.js"],
"env": {
"OPENROUTER_API_KEY": "sk-or-v1-YOUR_KEY_HERE",
"VISION_MODEL": "google/gemini-2.0-flash-exp:free"
}
}⚠️ args এ full path দিতে হবে। Windows হলে backslash \\ অথবা forward slash / দুটোই চলে।
Step 3 — API Key
OPENROUTER_API_KEY এর জায়গায় তোমার key বসাও।
Key পাবে: https://openrouter.ai/keys
Use করো
Trae-এ যেকোনো chat-এ বলো:
analyze this image: C:/Users/akash/Desktop/screenshot.pngঅথবা URL দিয়ে:
analyze this image url: https://example.com/photo.jpgVision Models (Free)
VISION_MODEL পরিবর্তন করে যেকোনোটা use করতে পারো:
Model | Quality |
| ✅ Best (default) |
| ✅ Good |
| ✅ Good |
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