# AI Separations (remote · www.aiseparations.com)

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

- Trust score: 67/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-18

## Components

- remote · `www.aiseparations.com`: 67/100 (this document), [markdown](https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp.md), [page](https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp)

## Channel facts

- Endpoint: `https://www.aiseparations.com/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-18.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 5 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 65/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 985 tokens (~197/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the AI Separations MCP server?

AI Separations is a hosted endpoint at https://www.aiseparations.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-aiseparations-color-separations 'https://www.aiseparations.com/api/mcp'
```

### Cursor

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

### VS Code

```json
{
  "servers": {
    "com-aiseparations-color-separations": {
      "type": "http",
      "url": "https://www.aiseparations.com/api/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-aiseparations-color-separations]
url = "https://www.aiseparations.com/api/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-aiseparations-color-separations": {
      "type": "remote",
      "url": "https://www.aiseparations.com/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-aiseparations-color-separations --url 'https://www.aiseparations.com/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-aiseparations-color-separations:
    url: "https://www.aiseparations.com/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-aiseparations-color-separations": {
      "Transport": "http",
      "Url": "https://www.aiseparations.com/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-aiseparations-color-separations -t streamable-http -u 'https://www.aiseparations.com/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-aiseparations-color-separations": {
      "type": "http",
      "url": "https://www.aiseparations.com/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-17 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-11 (score 64, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-10 (score 63)

First indexed and scored.

## MCP tools (5)

### `estimate_screens` (~211 tokens)

Estimate screens (free)

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 parameters:

- `garment` (string): 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…
- `image_b64` (string): Base64 (or data URL) of the artwork — alternative to image_url
- `image_url` (string): Public http(s) URL of the artwork (PNG/JPG, max 12 MB)
- `underbase` (boolean): Print a white underbase (default: on for shirts darker than mid-grey)

### `separate_image` (~404 tokens)

Run a full color separation

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 parameters:

- `api_key` (string): AI Separations API key (metered, 1 credit)
- `colors` (integer): Force this many inks (omit = auto-detect)
- `deliver_email` (string): Where to email the full-resolution plates zip (defaults to free_email)
- `free_email` (string): Email for the one-per-email FREE full separation — plates are sent there
- `garment` (string): 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…
- `image_b64` (string): Base64 (or data URL) of the artwork — alternative to image_url
- `image_url` (string): Public http(s) URL of the artwork (PNG/JPG, max 12 MB)
- `mode` (string): 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…
- `palette` (array): Exact ink hex codes to separate to (optional)
- `underbase` (boolean): Print a white underbase (default: on for shirts darker than mid-grey)

### `check_credits` (~37 tokens)

Check credit balance

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

Input parameters:

- `api_key` (string): The API key to check

### `buy_credits` (~137 tokens)

Buy a credit pack (hosted checkout)

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 parameters:

- `email` (string, required): The buyer's email — receipt and API key go here
- `pack` (string): Which credit pack (default credits_sample)

### `get_pricing` (~39 tokens)

Pricing & plans

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

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp#diagnostics

## Score history

- 2026-10-18: 67
- 2026-10-17: 67
- 2026-10-16: 66
- 2026-10-15: 66
- 2026-10-14: 65
- 2026-10-13: 65
- 2026-10-12: 64
- 2026-10-11: 64
- 2026-10-10: 63

## Common questions

### What is the AI Separations MCP server?

AI Separations is an MCP server listed in the public MCP registry as com.aiseparations/color-separations. Turn artwork into press-ready color separations for screen printing and DTF: plates and halftones. This page covers its hosted endpoint (https://www.aiseparations.com/api/mcp).

### Is the AI Separations MCP server safe to use?

AI Separations scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AI Separations MCP server expose?

AI Separations exposes 5 tools: estimate_screens, separate_image, check_credits, buy_credits, get_pricing. Their descriptions and schemas cost roughly 828 tokens of context every time the server is loaded.

### Does the AI Separations MCP server require authentication?

No. We connected to AI Separations without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AI Separations MCP server still maintained?

AI Separations is still listed as active in the MCP registry. We last reached this channel on 18 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://www.aiseparations.com/api/mcp
- Website: https://www.aiseparations.com/mcp/
- Changelog RSS feed: https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/com-aiseparations-color-separations/api-mcp