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Glama

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 install

Step 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"
  }
}

⚠️ argsfull 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.png

অথবা URL দিয়ে:

analyze this image url: https://example.com/photo.jpg

Vision Models (Free)

VISION_MODEL পরিবর্তন করে যেকোনোটা use করতে পারো:

Model

Quality

google/gemini-2.0-flash-exp:free

✅ Best (default)

meta-llama/llama-4-scout:free

✅ Good

meta-llama/llama-4-maverick:free

✅ Good

A
license - permissive license
-
quality - not tested
C
maintenance

Resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/akash143antor/vision-mcp'

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