claude-foundry-image
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., "@claude-foundry-imagegenerate an image of a serene lake in autumn"
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.
claude-foundry-image
Claude Code plugin that gives every project and every conversation an image generator
backed by your own Azure AI Foundry deployment (MAI image API, e.g. MAI-Image-2.5-Pro).
MCP server (
server/server.mjs) — Node ≥ 18, zero dependencies. Tools:generate_image,edit_image,check_config.Skill
generate-image— teaches Claude when to reach for the tools, how to expand a one-liner into a usable prompt, valid dimensions, where to write files.Skill
setup— one-time configuration walkthrough.
Images are written to disk; only the file path enters the conversation. No base64 in context.
Install
claude plugin marketplace add jpaarhuis/claude-foundry-imageclaude plugin install foundry-image@jpaarhuisOr in an interactive session: /plugin → Marketplaces → add jpaarhuis/claude-foundry-image
→ install foundry-image.
Related MCP server: gpt-image-mcp
Configure (once)
The server reads its settings from environment variables. Put them in
~/.claude/settings.json under env — one file, all platforms, only Claude Code sees it:
{
"env": {
"MAI_IMAGE_ENDPOINT": "https://<resource>.services.ai.azure.com/mai/v1/images/generations",
"MAI_IMAGE_DEPLOYMENT": "MAI-Image-2.5-Pro",
"MAI_IMAGE_API_KEY": "<key>",
"MAI_IMAGE_OUTPUT_DIR": "C:/Users/<you>/Pictures/ai"
}
}Or set them as OS user environment variables (setx on Windows, export in your shell
profile on macOS/Linux). Restart Claude Code either way.
Then, in any session: "run check_config" or /foundry-image:setup for a guided pass.
Variable | Required | Meaning |
| yes | Full URL ending in |
| yes | Deployment name in Foundry |
| yes | Resource key |
| no | Default output folder; falls back to the OS temp dir |
Use
Just ask: "maak een hero image voor de README, donker, isometrisch, geen tekst". Claude expands the prompt, picks dimensions, writes the PNG (into the repo when it belongs there) and returns the path.
Tool parameters, for reference:
Tool | Params |
|
|
|
|
| — |
Dimension rules from the MAI API: each side ≥ 768 px and width × height ≤ 1 048 576 px.
So 1024x1024, 1024x768, 1280x800 work; 1024x1536 and 1920x1080 do not.
Why env vars and not a config file or setup dialog?
Claude Code plugins have no per-plugin secret storage or setup UI. The convention —
same one the official GitHub plugin uses for its PAT — is ${VAR} expansion in the
plugin's .mcp.json, with the user setting the variables once. settings.json → env
is the least-friction place for that: it travels with your Claude Code profile, applies
to every project, and survives plugin updates.
If you want the key out of plaintext files, load it into the environment from a secret store at login (Key Vault, 1Password CLI, Windows Credential Manager) — the server does not care where the variable comes from.
Develop
npm testRuns an offline smoke test: MCP handshake, tool listing, dimension guards, missing-config
errors, and checks that check_config never leaks a key.
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityCmaintenanceMCP server that enables Claude Code to generate images using Google's Gemini image generation models.MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables Claude Code and Claude Desktop to generate and edit images using OpenAI's gpt-image-2 model, with results saved to disk.2MIT
- Flicense-qualityCmaintenanceRemote MCP server that exposes a generate_image tool allowing Claude to generate images via the Google Gemini API.
- Flicense-qualityCmaintenanceMCP server for generating and editing images using gpt-image-2. Enables image creation, editing, listing, and retrieval via natural language tools.
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