EverArt
Free foreveranthropic · Design
80k installs
EverArt brings AI image generation directly into your agent workflows, giving Claude, GPT, Gemini, or any other model-agnostic AI assistant the ability to create images from text descriptions on demand. Rather than bolting on a separate image API and managing its own keys, rate limits, and model list, teams can connect EverArt once through BusinessMCP's unified MCP server and let every downstream agent call it the same way they call your CRM, ad platform, or internal database — through a single hosted endpoint.
As an MCP server for AI image generation, EverArt exposes controllable parameters such as model choice, style, aspect ratio, and prompt strength, so agents can tailor output for marketing creative, product mockups, blog headers, social thumbnails, or rapid concept art without a human opening a separate design tool. Because it runs inside BusinessMCP's hosted MCP + business-intelligence stack, every image-generation call — prompt, model used, parameters, and result — flows into the same BI dashboard where you already track ad spend, CRM activity, and other tool usage. That means marketing and design teams can finally see how much creative output an AI content pipeline is producing, which models perform best for which use case, and how generation activity correlates with campaign performance, all without stitching together logs from multiple vendors.
BusinessMCP connects EverArt to your other business systems through one /api/mcp endpoint secured with a Bearer mcph_* key, so any AI agent — whether it's running inside your own app, a growth-suite workflow, or a third-party assistant — authenticates once and gets access to EverArt alongside your other hosted tools. This is especially useful for teams building agentic content pipelines: an agent can research a topic, draft copy, generate a matching hero image via EverArt, upload it to storage, and push the finished asset into a CMS or ad platform, all through the same MCP session rather than juggling separate API credentials for each step.
Because the integration is cookieless and GDPR-friendly by design, EverArt-generated imagery can be used in customer-facing workflows — landing pages, personalized ad creative, email campaigns — without adding new consent or tracking complications to your compliance posture. Design, growth, and engineering teams get a shared, auditable record of AI-generated visual content, which is increasingly important as image generation moves from novelty into core production workflows for e-commerce, SaaS marketing sites, and social content calendars.
Teams typically pair EverArt with other visual and asset-management tools already in their MCP stack — pulling stock or reference imagery, editing layouts, or pushing finished creative to design and publishing platforms — so an agent can move from brief to finished asset in one continuous, logged conversation instead of a chain of disconnected API calls.
Just say it in a thread
No configs, no docs. Once connected, these are the kinds of messages your agents act on.
"Create a new image from a text prompt with configurable model, style, and aspect ratio — and give me the highlights."
"Return the set of image generation models currently available through everart for me, then post a summary in the thread."
"Apply a targeted edit to an existing image using a mask and updated prompt and flag anything that needs my approval."
What teams use it for
- Generating marketing creative and social thumbnails from text prompts inside an agentic content pipeline
- Producing product mockups or concept art for design review without opening a separate image tool
- Creating personalized ad creative variations at scale while tracking output through the BI dashboard
- Automating blog and landing page hero images as part of a CMS publishing workflow
- Comparing image-generation model performance and usage across teams via unified BI reporting
Agent-callable tools
generate_image_from_text
Create a new image from a text prompt with configurable model, style, and aspect ratio.
list_available_models
Return the set of image generation models currently available through EverArt.
edit_image_with_mask
Apply a targeted edit to an existing image using a mask and updated prompt.
generate_image_variations
Produce multiple stylistic variations of a given source image or prompt.
upscale_image
Increase the resolution of a generated image while preserving detail.
check_generation_status
Poll the status of an in-progress image generation job and return the result when ready.
save_image_to_storage
Persist a generated image to connected storage or asset library for reuse.
Your data stays yours
Credentials live in your vault. We route requests — we never store, log, or train on your data.
Works with every AI
Connect once — portable across Claude, GPT, Gemini, and every local agent you run.
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Frequently asked questions
How does EverArt fit into BusinessMCP's unified MCP server?
EverArt is connected once and exposed through your company's single hosted /api/mcp endpoint, so any AI agent authenticated with a Bearer mcph_* key can call it alongside your other tools and data sources.
Can I control which model or style EverArt uses for a given image?
Yes, EverArt supports customizable parameters like model selection, style, and aspect ratio, which agents can set per request to match brand or campaign requirements.
Does using EverArt through BusinessMCP affect GDPR compliance?
BusinessMCP's integration layer is cookieless and GDPR-friendly by design, so EverArt-generated images can be used in customer-facing workflows without adding new consent tracking overhead.
Keep exploring
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