AI & Machine Learning

getpetlegends.com

Generates AI pet portraits in various styles and facilitates ordering them as physical products via Stripe checkout.

1 endpoint6 known toolsFirst detected October 15, 2026Last detected October 15, 2026

ENDPOINT 1

https://getpetlegends.com/api/mcp

No auth detected

MCP server metadata

Name: pet-legends
Version: 1.0.0

Capabilities

tools.listChanged

Server instructions

Get Pet Legends turns a photo of a pet into an AI portrait in a chosen style (Halloween costumes, royal, adventure, fine art, holiday, memorial), with a humorous legendary title and a short legend (e.g. "Sir Biscuit III - Duke of the Sofa, Terror of Squirrels"), and sells it as a framed print, canvas, poster, mug or sherpa blanket. Prices are in USD and include shipping. Typical flow: 1. list_styles to pick a style (and optional personality traits). 2. create_portrait with the pet's name, species, style and a photo (photo_url, photo_base64 or photo_file). If the photo is only available as a chat attachment, call create_portrait without a photo: it returns an upload_url the human opens to upload the photo, and generation starts automatically. 3. Show the watermarked preview_url, title, epithet and legend. get_portrait returns the latest state. 4. list_products, then create_checkout_link for the product the human chooses. The human opens checkout_url to pay and enter the shipping address on Stripe; the assistant never handles card details. 5. get_order_status with the session_id to follow the order (tracking link once shipped). Previews are free and limited per day. Every physical order includes the Digital HD file. Privacy: before sending a photo, tell the human that it is processed by fal.ai and Google (image) and Anthropic (title and safety check) only to create the portrait, and that source photos are deleted after 30 days (privacy policy: /privacy on the Get Pet Legends website). The upload_url page asks for this consent itself.

Known tools 6

list_styles

Lists the portrait styles, grouped in collections (Halloween, Royal, Adventure, Fine Art, Holiday, Memorial), and the personality traits that create_portrait accepts.

Inferred read-only

list_products

Lists the products a finished portrait can be ordered as (poster, framed print, canvases, mug, sherpa blanket) with USD prices including shipping, delivery estimates and the countries shipped to.

Inferred read-only

create_portrait

Creates an AI portrait of a pet in the chosen style from a photo, with a humorous legendary title, epithet and short legend.

Inferred read-only

get_portrait

Returns the status and result of a portrait: watermarked preview_url, title, epithet, legend and share_url.

Inferred read-only

create_checkout_link

Creates a secure Stripe Checkout link to order a ready portrait as one or more physical products.

Inferred read-only

get_order_status

Returns the status of an order created with create_checkout_link: waiting for payment, paid, in production, shipped (with tracking link), complete or refunded, plus the Digital HD download link once paid.

Potential side effects

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.pet-legends]
url = "https://getpetlegends.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "pet-legends": {
      "type": "http",
      "url": "https://getpetlegends.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: pet-legends
Remote MCP URL: https://getpetlegends.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "pet-legends": {
      "url": "https://getpetlegends.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "pet-legends": {
      "type": "http",
      "url": "https://getpetlegends.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "pet-legends",
  "transport": "streamable-http",
  "url": "https://getpetlegends.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.