_ registry / mcp http-sse · checked 2h ago

stockcake

https://stockcake.com

Registry code: d19d6565fa5b3d55

api record

StockCake: CC0 / public-domain stock images, every one AI-generated. Free for commercial use, no attribution required.

To show an image to the user, call get_image — it returns an inline image block (preview_url may not render in every client).

endpoint
https://stockcake.com/api/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is stockcake live?
Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.
Is stockcake free to use?
Partly — some of its tools are open, others need a key or payment.
What tools does stockcake have?
13 tools: resize_image, upscale_image, create_video, search_images, generate_image, send_feedback, find_similar_images, get_image, ….
Is stockcake safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
98.9%

90 days 99.3%· all time 99.3%

latency
175ms

last good check

priced tools
0

of 13 tools

_ answered our checks, 90 days 411 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • down → live
_ what it is for
topic
media generation images
used for
  • search free cc0 stock images
  • generate an image from a prompt
  • generate a short video
  • upscale or resize an image
takes → gives
text, images → images, video, data
tools
8 reads4 changes data
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 13 tools
1 open4 auth-required 8 never probed 5 of 13 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_license_info reads open 2h ago

    License and usage terms for all StockCake images (site-wide CC0 / public domain).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 22 lines
  • download_image reads auth-required 10h ago

    Full-resolution download link for a StockCake image (CC0) or one of your edited images. Unmetered — no credits. format "png" returns the lossless sibling when one exists (falls back to jpg). Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id",
    "context",
    "llm_model"
  ],
  "properties": {
    "id": {
      "anyOf": [
        {
          "type": "integer",
          "maximum": 9007199254740991,
          "exclusiveMinimum": 0
        },
        {
          "type": "string",
          "pattern": "^\\d+$"
        }
      ],
      "description": "Stock image id or your own edited image id"
    },
    "format": {
      "enum": [
        "jpg",
        "png"
      ],
      "type": "string",
      "description": "Default jpg (the original)"
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 45 lines
  • get_account reads auth-required 7h ago

    The signed-in user's plan, credit balance (free / subscription / purchased), next resets, download quality and output formats. Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 22 lines
  • get_job reads auth-required 2h ago

    Status and result of a generate_image / upscale_image / resize_image / create_video job you started (pending, completed with URLs, or error with refund state). Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "job_id",
    "context",
    "llm_model"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "maxLength": 64,
      "minLength": 8
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 28 lines
  • list_models reads auth-required 10h ago

    Image and video models available to generate_image / create_video with the credit price of every tier. Free-credit models are flagged; video is priced per second. Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "kind": {
      "enum": [
        "image",
        "video"
      ],
      "type": "string",
      "description": "Return only one catalog"
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 30 lines
  • resize_image changes data unknown never probed

    Change an image's aspect ratio by extending the canvas with AI (GPT Image 2.5) — the subject is kept, new area is generated. Charges credits. Output is the model's native size — about 1.5 megapixels, up to 1536 px on the long edge — whatever the source size; the result reports exact dimensions. For print or larger web use, run upscale_image on the result. Waits up to 45 s, then returns a job_id for get_job. Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "image",
    "aspect_ratio",
    "prompt",
    "context",
    "llm_model"
  ],
  "properties": {
    "image": {
      "anyOf": [
        {
          "type": "integer",
          "maximum": 9007199254740991,
          "exclusiveMinimum": 0
        },
        {
          "type": "string",
          "maxLength": 64,
          "minLength": 1
        }
      ],
      "description": "A StockCake image id (from search_images), one of your own edited image ids (from a previous result), or a job_id. Never a URL."
    },
    "prompt": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1,
      "description": "What should fill the extended canvas, e.g. 'extend the sandy beach and sky; keep the subject unchanged, do not crop or stretch'"
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "aspect_ratio": {
      "enum": [
        "9:16",
        "4:5",
        "3:4",
        "2:3",
        "1:1",
        "3:2",
        "4:3",
        "5:4",
        "16:9"
      ],
      "type": "string",
      "description": "Target ratio"
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 61 lines
  • upscale_image changes data unknown never probed

    Upscale a StockCake image or one of your edited images 2x, 4x or 8x (lossless PNG output). Plan quality caps apply; charges credits otherwise. Waits up to 45 s, then returns a job_id for get_job. Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "image",
    "scale",
    "context",
    "llm_model"
  ],
  "properties": {
    "image": {
      "anyOf": [
        {
          "type": "integer",
          "maximum": 9007199254740991,
          "exclusiveMinimum": 0
        },
        {
          "type": "string",
          "maxLength": 64,
          "minLength": 1
        }
      ],
      "description": "A StockCake image id (from search_images), one of your own edited image ids (from a previous result), or a job_id. Never a URL."
    },
    "scale": {
      "anyOf": [
        {
          "type": "number",
          "const": 2
        },
        {
          "type": "number",
          "const": 4
        },
        {
          "type": "number",
          "const": 8
        }
      ]
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 55 lines
  • create_video changes data unknown never probed

    Generate a short video from a prompt and/or a start image with one of StockCake's video models (list_models). Priced per second of output; needs a plan. Video usually takes longer than 45 s: expect a pending result and poll get_job. Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "tier": {
      "type": "string",
      "maxLength": 24,
      "description": "Tier key from list_models (e.g. 720p, 1080p, 720p-audio)"
    },
    "model": {
      "type": "string",
      "maxLength": 64,
      "description": "Video model id from list_models (default: MiniMax H3)"
    },
    "prompt": {
      "type": "string",
      "maxLength": 2000,
      "description": "Required unless start_image is given"
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "start_image": {
      "anyOf": [
        {
          "type": "integer",
          "maximum": 9007199254740991,
          "exclusiveMinimum": 0
        },
        {
          "type": "string",
          "maxLength": 64,
          "minLength": 1
        }
      ],
      "description": "Animate from this image (stock id or your edited image id)"
    },
    "aspect_ratio": {
      "enum": [
        "9:16",
        "4:5",
        "3:4",
        "2:3",
        "1:1",
        "3:2",
        "4:3",
        "5:4",
        "16:9"
      ],
      "type": "string",
      "description": "Text-to-video only; a start image sets the ratio"
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    },
    "negative_prompt": {
      "type": "string",
      "maxLength": 1000
    },
    "duration_seconds": {
      "type": "integer",
      "maximum": 30,
      "minimum": 1,
      "description": "Clip length; must be one of the model's durations"
    }
  }
}
    arguments 77 lines
  • search_images reads unknown 10h ago

    Natural-language search over StockCake's catalog. total_results is the total number of matches across the whole catalog, not just this page. refinements lists exact mood/style values for this query with counts (how many current matches carry each); both are exact filters, so a small count means few results. Start with a short query; when total_results is small or off-target, retry with fewer keywords or different phrasing.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query",
    "context",
    "llm_model"
  ],
  "properties": {
    "mood": {
      "type": "string",
      "maxLength": 50,
      "description": "Exact facet value — pick one from refinements.mood of a previous search_images result (check refinements.counts.mood first: it is a hard filter, not a boost)"
    },
    "page": {
      "type": "integer",
      "maximum": 5,
      "minimum": 1,
      "description": "Page number, 1-5"
    },
    "type": {
      "enum": [
        "photos",
        "illustrations",
        "digital-art",
        "3d"
      ],
      "type": "string"
    },
    "color": {
      "type": "string",
      "maxLength": 30,
      "description": "Dominant color, e.g. a hex value like #ff0000"
    },
    "limit": {
      "type": "integer",
      "maximum": 12,
      "minimum": 1,
      "description": "Results to return, 1-12 (default 12). Ask for fewer to save tokens."
    },
    "query": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "Short subject, 2–5 words (e.g. 'red vintage rocket'). Long sentences hurt recall: start short, add one qualifier at a time; if results are thin, drop keywords or rephrase."
    },
    "style": {
      "type": "string",
      "maxLength": 50,
      "description": "Exact facet value — pick one from refinements.style of a previous search_images result (check refinements.counts.style first: it is a hard filter, not a boost)"
    },
    "locale": {
      "enum": [
        "en",
        "de",
        "es",
        "fa",
        "fr",
        "it",
        "ja",
        "pt"
      ],
      "type": "string",
      "description": "Site locale for the user (default en). Titles and page links are localized; descriptions are English."
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "orientation": {
      "enum": [
        "landscape",
        "portrait",
        "square"
      ],
      "type": "string"
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 87 lines
  • generate_image changes data unknown never probed

    Generate a new image from a prompt with one of StockCake's AI models (list_models). Charges credits; free credits cover the free models. Waits up to 45 s — a pending result carries a job_id for get_job. Optional reference images guide the composition (plan-capped). Requires a free StockCake account (the host will prompt to sign in).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "prompt",
    "context",
    "llm_model"
  ],
  "properties": {
    "tier": {
      "type": "string",
      "maxLength": 16,
      "description": "Tier key from list_models (e.g. 1k, 2k, standard). Default: the model's default tier."
    },
    "model": {
      "type": "string",
      "maxLength": 64,
      "description": "Model id from list_models. Default: the site default for subscribers, the free model otherwise."
    },
    "prompt": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 1
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "aspect_ratio": {
      "enum": [
        "9:16",
        "4:5",
        "3:4",
        "2:3",
        "1:1",
        "3:2",
        "4:3",
        "5:4",
        "16:9"
      ],
      "type": "string"
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    },
    "reference_images": {
      "type": "array",
      "items": {
        "anyOf": [
          {
            "type": "integer",
            "maximum": 9007199254740991,
            "exclusiveMinimum": 0
          },
          {
            "type": "string",
            "maxLength": 64,
            "minLength": 1
          }
        ],
        "description": "A StockCake image id (from search_images), one of your own edited image ids (from a previous result), or a job_id. Never a URL."
      },
      "maxItems": 9,
      "description": "Stock image ids or your own edited image ids used as references"
    }
  }
}
    arguments 72 lines
  • send_feedback unknown never probed

    Send feedback about this server to its developers. Most important: report a missing capability whenever no available tool fits your task, even if you can work around it (feedback_type "missing_capability"). Also welcome: a tool that failed or confused you, an unhelpful error, or something that worked well. This records the feedback; it does not add or change tools. Do not include user PII or sensitive content.

    mcp-tool

    {
  "type": "object",
  "required": [
    "feedback_type",
    "summary",
    "llm_model"
  ],
  "properties": {
    "details": {
      "type": "string",
      "description": "Optional longer context: what you tried, exact parameter values, the error text you saw, and any workaround you used. Omit when the summary says it all."
    },
    "summary": {
      "type": "string",
      "description": "One self-contained sentence. For 'missing_capability': the capability you needed, e.g. 'No tool to delete multiple cohorts in one call.' For 'issue': the tool and the problem, e.g. 'query-trends rejects relative date ranges with an unclear error.'"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "sentiment": {
      "enum": [
        "positive",
        "neutral",
        "negative",
        "mixed"
      ],
      "type": "string",
      "description": "Optional: how the experience felt overall."
    },
    "tool_name": {
      "type": "string",
      "description": "Optional: the existing tool this feedback is about (for 'issue' or 'praise'). Leave empty for 'missing_capability' - the point is that no tool fits."
    },
    "feedback_type": {
      "enum": [
        "missing_capability",
        "issue",
        "praise",
        "other"
      ],
      "type": "string",
      "description": "What kind of feedback this is. Use 'missing_capability' when the tool you needed does not exist in the tool list - nothing failed, the capability is absent (this is the most valuable report; send it even if you found a workaround). Use 'issue' when an existing tool behaved badly: it failed, returned a confusing error, or its description or schema misled you. Use 'praise' when something worked notably well. Use 'other' for anything else."
    },
    "task_completed": {
      "type": "boolean",
      "description": "Optional: whether you still completed the user's task despite the problem."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    },
    "friction_points": {
      "type": "string",
      "description": "Optional: the specific moments that slowed you down, as short bullet-like sentences, quoting exact tool names, parameters, or error text."
    },
    "suggested_improvement": {
      "type": "string",
      "description": "Optional: the concrete change that would have helped, e.g. the tool to add, the description to reword, or the error message to improve."
    }
  }
}
    arguments 62 lines
  • find_similar_images reads unknown 7h ago

    Find images visually similar to a given StockCake image id (from search_images results). total_results is the number of similar results returned on this page, not a catalog-wide count.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id",
    "context",
    "llm_model"
  ],
  "properties": {
    "id": {
      "type": "integer",
      "maximum": 9007199254740991,
      "description": "Numeric image id from a previous result",
      "exclusiveMinimum": 0
    },
    "page": {
      "type": "integer",
      "maximum": 5,
      "minimum": 1,
      "description": "Page number, 1-5"
    },
    "limit": {
      "type": "integer",
      "maximum": 12,
      "minimum": 1,
      "description": "Results to return, 1-12 (default 12). Ask for fewer to save tokens."
    },
    "locale": {
      "enum": [
        "en",
        "de",
        "es",
        "fa",
        "fr",
        "it",
        "ja",
        "pt"
      ],
      "type": "string",
      "description": "Site locale for the user (default en). Titles and page links are localized; descriptions are English."
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    }
  }
}
    arguments 55 lines
  • get_image reads unknown 2h ago

    Fetch one image with full metadata: an inline preview the model can see (unless include_preview is false), real pixel dimensions, AI-generation provenance (prompt, dates, style), license details, and attribution snippets. Also shows the signed-in user's own edited images (ids ≥ 10000000000, as returned by generate_image, resize_image and upscale_image).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id",
    "context",
    "llm_model"
  ],
  "properties": {
    "id": {
      "anyOf": [
        {
          "type": "integer",
          "maximum": 9007199254740991,
          "exclusiveMinimum": 0
        },
        {
          "type": "string",
          "maxLength": 64,
          "minLength": 4
        }
      ],
      "description": "Numeric image id (from search results), one of your own edited image ids (from a generate / resize / upscale result; needs the signed-in account), or the image's CDN uuid"
    },
    "locale": {
      "enum": [
        "en",
        "de",
        "es",
        "fa",
        "fr",
        "it",
        "ja",
        "pt"
      ],
      "type": "string",
      "description": "Site locale for the user (default en). Titles and page links are localized; descriptions are English."
    },
    "context": {
      "type": "string",
      "description": "In one sentence, what is the user trying to make or find?"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "conversation_id": {
      "type": "string",
      "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
    },
    "include_preview": {
      "type": "boolean",
      "description": "Default true. Set false to skip the inline preview image and save tokens."
    }
  }
}
    arguments 56 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id d19d6565fa5b3d55.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/d19d6565fa5b3d55/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/d19d6565fa5b3d55/badge.svg)](https://brick.blue/agent/d19d6565fa5b3d55?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.