MCP server for AI image generation via Microsoft Copilot
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# Copilot Image Generation MCP An MCP server that connects [GitHub Copilot CLI](https://docs.github.com/copilot/concepts/agents/about-copilot-cli) to **Microsoft Copilot's image generation** backend. Generate images from text prompts and iteratively refine them — all from the terminal. Images are saved locally and organized by session. ## Requirements - Python 3.10+ - [GitHub Copilot CLI](https://docs.github.com/copilot/concepts/agents/about-copilot-cli) - [Microsoft 365 Copilot license](https://learn.microsoft.com/en-us/microsoft-365/copilot/) with image generation enabled - A Chromium-based browser (Edge, Chrome, or Chromium) for first-time sign-in ## Quick Start 1. **Install and register** ```bash pip install copilot-image-gen-mcp copilot plugin install msartem/copilot_image_gen_mcp ``` 2. **Launch Copilot CLI** ```bash copilot ``` 3. **Sign in** (first time only) Copilot will automatically call `sign_in` when needed. An Edge browser window opens — sign in with your Microsoft 365 account. The auth code is captured automatically via Playwright (no manual copy-paste). 4. **Try it out** ``` Generate an image of an elephant in Times Square Make the elephant golden Change the background to a sunset over mountains ``` After first sign-in, auth is silent via cached refresh tokens (~90 day lifetime, auto-renewing). No browser window on subsequent uses. ## How It Works 1. You ask Copilot CLI to generate or modify an image 2. Copilot routes it to the `generate_image` or `refine_image` tool 3. The MCP server opens a WebSocket to Microsoft Copilot's backend 4. The backend generates the image (DALL-E) and returns it as base64 PNG 5. The image is saved to `~/.copilot-images/` and the file path is returned Multi-turn refinement works automatically — the server maintains a conversation so each `refine_image` call builds on the previous image. ``` You → Copilot CLI → image gen MCP → M365 Copilot (Sydney) → DALL-E → P…
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