EverArt MCP — Use Cases, Install & Live Demo

Why use it

Key features

Single tool, zero setup beyond an API key
Multiple models: FLUX1.1, SD3.5, Recraft variants
Returns a hosted URL — paste into Notion, commit to repo, or download
Note: repo is archived — publisher status unchanged but no new features

Live Demo

What it looks like in practice

everart.replay ▶ ready

0/0

Install

Pick your client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "everart": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everart"
      ]
    }
  }
}

Open Claude Desktop → Settings → Developer → Edit Config. Restart after saving.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "everart": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everart"
      ]
    }
  }
}

Cursor uses the same mcpServers schema as Claude Desktop. Project config wins over global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "everart": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everart"
      ]
    }
  }
}

Click the MCP Servers icon in the Cline sidebar, then "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "everart": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everart"
      ]
    }
  }
}

Same shape as Claude Desktop. Restart Windsurf to pick up changes.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "everart",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everart"
      ]
    }
  ]
}

Continue uses an array of server objects rather than a map.

~/.config/zed/settings.json

{
  "context_servers": {
    "everart": {
      "command": {
        "path": "npx",
        "args": [
          "-y",
          "@modelcontextprotocol/server-everart"
        ]
      }
    }
  }
}

Add to context_servers. Zed hot-reloads on save.

claude mcp add everart -- npx -y @modelcontextprotocol/server-everart

One-liner. Verify with claude mcp list. Remove with claude mcp remove.

Use Cases

Real-world ways to use EverArt

Generate OG / social card images for blog posts

👤 Content writers, solo devs running a blog ⏱ ~10 min beginner

When to use: You just wrote a post and need a 1200×630 social card before publishing.

Prerequisites

EverArt API key — everart.ai → account → API keys. Set as EVERART_API_KEY.

Flow

Draft the prompt from the article

My post is titled 'How we cut p99 latency in half'. Propose 3 image prompts that capture that visually — abstract, not literal, tech-editorial style.✓ Copied

→ 3 distinct prompt candidates
Generate variations

Use EverArt to generate image_count=3 for the prompt I pick. Use the FLUX1.1 model for cleaner composition.✓ Copied

→ 3 URLs returned
Pick and save

I like #2. Download it to ./public/og/<slug>.png via the filesystem MCP.✓ Copied

→ File saved locally, ready for deploy

Outcome: A publish-ready OG card in 5 minutes, no design app open.

Pitfalls

Generated images have artifacts (weird text, extra fingers) — Skip prompts that ask for text in the image — let the model do abstraction and overlay your title via CSS/HTML
Aspect ratio doesn't match 1200×630 — The model outputs 1024×1024 by default — crop/resize via an image tool or accept square

Combine with: filesystem

Generate a landing page hero image

👤 Founders, marketers on tight budgets ⏱ ~15 min beginner

When to use: Pre-launch landing page, no designer, stock photos feel generic.

Flow

Describe the vibe

My product is <description>. Target audience: <persona>. Propose 3 hero image directions that would feel authentic.✓ Copied

→ 3 direction briefs
Generate 4 variants of direction #1

Generate 4 images for: '<chosen prompt>'. Use Recraft for clean illustration style.✓ Copied

→ 4 URLs
Iterate

#2 is closest. Tweak: warmer palette, less cluttered background. Regenerate 3 more.✓ Copied

→ Refined set

Outcome: A distinctive hero image for roughly the cost of a coffee.

Pitfalls

Over-iterating burns credits fast — Cap yourself at 2 iteration rounds; if nothing clicks, the direction is wrong — reset the brief

Combinations

Pair with other MCPs for X10 leverage

everart + filesystem

Generate then save locally for commit

Generate an OG card for my 'caching' post, download the URL to ./public/og/caching.png.✓ Copied

everart + notion

Generate an illustration and embed it directly in a Notion page

Generate a banner image for the 'Onboarding' page and append it as an image block at the top.✓ Copied

Tools

What this MCP exposes

Tool	Inputs	When to call	Cost
generate_image	prompt: str, model?: str (default '207910310772879360'), image_count?: int (default 1)	The only tool — generate N images matching a prompt	1 EverArt credit per image

Cost & Limits

What this costs to run

API quota: Depends on your EverArt plan — usually measured in credits
Tokens per call: Prompt text only (~100 tokens); generation time is the bottleneck
Monetary: Check everart.ai/pricing — typically cents per image
Tip: Generate image_count: 4 in one call instead of 4 separate calls — same cost, faster iteration

Security

Permissions, secrets, blast radius

Credential storage: EVERART_API_KEY in env var

Data egress: Prompts and images to everart.ai

Repo is in modelcontextprotocol/servers-archived — functional but no active maintenance. Consider fal.ai, Replicate MCPs, or an official vendor MCP for production.

Troubleshooting

Common errors and fixes

401 Unauthorized

EVERART_API_KEY missing or invalid. Re-create at everart.ai and set in your MCP client config.

Verify: curl -H "Authorization: Bearer $EVERART_API_KEY" https://api.everart.ai/v1/models

Image URL expires after a day

Download immediately with the filesystem MCP — don't rely on the hosted URL long-term.

Generation timeouts

Large image_count values can exceed client timeouts. Request 2 at a time and loop.

Alternatives

EverArt vs others

Alternative	When to use it instead	Tradeoff
Replicate MCP	You want broad model choice (FLUX, SDXL, hundreds of fine-tunes)	More setup, more powerful, pay-per-second pricing
fal.ai MCP	You need fast inference and streaming	Similar pricing; slightly fewer models than Replicate
OpenAI DALL-E via API	Already on OpenAI and want one bill	Stricter content filters; narrower style range

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

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