AI Separations

Turn artwork into press-ready color separations for screen printing and DTF: plates and halftones.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
80%
Naming quality
88%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,028Tokens (tool definitions)
~1.5 KBTypical response size
Moderate attention impact (0.80% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "color-separations": {
      "url": "https://www.aiseparations.com/api/mcp"
    }
  }
}

Remote endpoints

https://www.aiseparations.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (5)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢estimate_screens(image_url, image_b64, garment, underbase)

FREE, no key needed. Analyze artwork for screen printing: how many spot-color screens it needs, the detected ink colors (with named ink matches), whether it's flat/vector or photographic, and whether screen printing or DTF is the better process. Use this first on any logo or design.

Input Schema

{
  "type": "object",
  "properties": {
    "image_url": {
      "type": "string",
      "description": "Public http(s) URL of the artwork (PNG/JPG, max 12 MB)"
    },
    "image_b64": {
      "type": "string",
      "description": "Base64 (or data URL) of the artwork — alternative to image_url"
    },
    "garment": {
      "type": "string",
      "description": "Shirt the art prints on: \"dark\" (black, default), \"light\" (white), a color name (Navy, Royal, Red, Maroon, Forest, Gold, Heather Grey, Charcoal, ...) or a hex like \"#1f2a44\". The separation is solved against that exact shirt color."
    },
    "underbase": {
      "type": "boolean",
      "description": "Print a white underbase (default: on for shirts darker than mid-grey)"
    }
  },
  "required": []
}
⚪separate_image(image_url, image_b64, garment, underbase, colors, ...)

Run the real separation engine on artwork: detected spot inks, one grayscale film-positive plate per ink (halftoned, dot-gain compensated, white underbase on dark garments) plus a composite print preview. With no key: free small preview. With free_email: ONE full separation per email address, plates delivered by email, no watermark. With api_key: metered (1 credit), plates emailed to deliver_email.

Input Schema

{
  "type": "object",
  "properties": {
    "image_url": {
      "type": "string",
      "description": "Public http(s) URL of the artwork (PNG/JPG, max 12 MB)"
    },
    "image_b64": {
      "type": "string",
      "description": "Base64 (or data URL) of the artwork — alternative to image_url"
    },
    "garment": {
      "type": "string",
      "description": "Shirt the art prints on: \"dark\" (black, default), \"light\" (white), a color name (Navy, Royal, Red, Maroon, Forest, Gold, Heather Grey, Charcoal, ...) or a hex like \"#1f2a44\". The separation is solved against that exact shirt color."
    },
    "underbase": {
      "type": "boolean",
      "description": "Print a white underbase (default: on for shirts darker than mid-grey)"
    },
    "colors": {
      "type": "integer",
      "minimum": 2,
      "maximum": 12,
      "description": "Force this many inks (omit = auto-detect)"
    },
    "mode": {
      "type": "string",
      "enum": [
        "sim",
        "spot",
        "index",
        "cmyk",
        "gray",
        "dtf"
      ],
      "description": "index = one ink per square pixel, no halftone; gray = one screen (black ink on light shirts, white on dark); sim = simulated process (default), spot = solid spot colors for flat logos, cmyk = 4-color process, dtf = DTG/DTF print file prep"
    },
    "palette": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Exact ink hex codes to separate to (optional)"
    },
    "api_key": {
      "type": "string",
      "description": "AI Separations API key (metered, 1 credit)"
    },
    "free_email": {
      "type": "string",
      "description": "Email for the one-per-email FREE full separation — plates are sent there"
    },
    "deliver_email": {
      "type": "string",
      "description": "Where to email the full-resolution plates zip (defaults to free_email)"
    }
  },
  "required": []
}
🟢check_credits(api_key)

Check the remaining separation credits on an AI Separations API key. Free.

Input Schema

{
  "type": "object",
  "properties": {
    "api_key": {
      "type": "string",
      "description": "The API key to check"
    }
  },
  "required": []
}
⚪buy_credits(pack, email)

Start a purchase of an AI Separations credit pack for the user and return a Stripe Checkout link. Packs: credits_sample ($19, 25 separations), credits_shop ($99, 200), credits_studio ($349, 1,000). Credits never expire; 1 credit = 1 full separation via separate_image. Requires the user's email: the API key is emailed there after payment. Nothing is charged by this tool — the user pays on the returned link.

Input Schema

{
  "type": "object",
  "properties": {
    "pack": {
      "type": "string",
      "enum": [
        "credits_sample",
        "credits_shop",
        "credits_studio"
      ],
      "description": "Which credit pack (default credits_sample)"
    },
    "email": {
      "type": "string",
      "description": "The buyer's email — receipt and API key go here"
    }
  },
  "required": [
    "email"
  ]
}
🟢get_pricing

AI Separations pricing: free first separation, API credit packs, monthly plans, and the $179 one-time desktop app — with direct purchase links.

Input Schema

{
  "type": "object",
  "properties": {},
  "required": []
}

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Evidence

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