_ registry / mcp streamable-http · checked 41m ago

openai

https://openai-tools.run.mcp.com.ai

Registry code: 6484dcf4f367a72a

api record

Focused MCP server for OpenAI image/audio generation (v2.0.0). Wraps endpoints via HAPI CLI.

from a public catalogue that lists it, not from the operator

endpoint
https://openai-tools.run.mcp.com.ai/mcp
protocol
streamable-http ·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 openai live?
Yes — it answered the hub's last check (checked 41m ago). It answered 100% of checks over the last 30 days.
Is openai free to use?
Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does openai have?
9 tools: createImage, createTranslation, retrieveModel, deleteModel, createModeration, createImageEdit, createImageVariation, createTranscription, ….
Is openai 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
100%

90 days 99.8%· all time 99.8%

latency
179ms

last good check

priced tools
0

of 9 tools

_ answered our checks, 90 days 508 checks · signed record
  • down → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
topic
media generation images
used for
  • generate an image from a prompt
  • edit an image
  • transcribe audio
  • moderate text
takes → gives
text, images, audio → images, text
tools
8 reads1 changes data
note
resells another provider
_ 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 9 tools
1 auth-required 8 never probed 1 of 9 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.

  • listModels reads auth-required 7h ago

    Lists the currently available models, and provides basic information about each one such as the owner and availability.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    }
  }
}
    arguments 8 lines
  • createImage reads unknown never probed

    Creates an image given a prompt.

    mcp-tool

    {
  "type": "object",
  "required": [
    "createImageBody"
  ],
  "properties": {
    "createImageBody": {
      "type": "object",
      "required": [
        "prompt"
      ],
      "properties": {
        "n": {
          "type": "integer",
          "maximum": 10,
          "minimum": 1,
          "description": "The number of images to generate. Must be between 1 and 10."
        },
        "size": {
          "enum": [
            "256x256",
            "512x512",
            "1024x1024"
          ],
          "type": "string",
          "description": "The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`."
        },
        "user": {
          "type": "string",
          "description": "A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n"
        },
        "prompt": {
          "type": "string",
          "description": "A text description of the desired image(s). The maximum length is 1000 characters."
        },
        "response_format": {
          "enum": [
            "url",
            "b64_json"
          ],
          "type": "string",
          "description": "The format in which the generated images are returned. Must be one of `url` or `b64_json`."
        }
      }
    },
    "x-hapi-auth-state": {
      "type": "string"
    }
  }
}
    arguments 50 lines
  • createTranslation reads unknown never probed

    Translates audio into English.

    mcp-tool

    {
  "type": "object",
  "required": [
    "createTranslationBody"
  ],
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    },
    "createTranslationBody": {
      "type": "object",
      "required": [
        "file",
        "model"
      ],
      "properties": {
        "file": {
          "type": "string",
          "format": "binary",
          "description": "The audio file object (not file name) translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n"
        },
        "model": {
          "type": "string",
          "description": "ID of the model to use. Only `whisper-1` is currently available.\n"
        },
        "prompt": {
          "type": "string",
          "description": "An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.\n"
        },
        "temperature": {
          "type": "number",
          "description": "The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n"
        },
        "response_format": {
          "type": "string",
          "description": "The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n"
        }
      },
      "additionalProperties": false
    }
  }
}
    arguments 42 lines
  • retrieveModel reads unknown never probed

    Retrieves a model instance, providing basic information about the model such as the owner and permissioning.

    mcp-tool

    {
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string"
    },
    "x-hapi-auth-state": {
      "type": "string"
    }
  }
}
    arguments 14 lines
  • deleteModel changes data unknown never probed

    Delete a fine-tuned model. You must have the Owner role in your organization.

    mcp-tool

    {
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string"
    },
    "x-hapi-auth-state": {
      "type": "string"
    }
  }
}
    arguments 14 lines
  • createModeration reads unknown never probed

    Classifies if text violates OpenAI's Content Policy

    mcp-tool

    {
  "type": "object",
  "required": [
    "createModerationBody"
  ],
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    },
    "createModerationBody": {
      "type": "object",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "string",
          "description": "The input text to classify"
        },
        "model": {
          "type": "string",
          "description": "Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`.\n\nThe default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`.\n"
        }
      }
    }
  }
}
    arguments 27 lines
  • createImageEdit reads unknown never probed

    Creates an edited or extended image given an original image and a prompt.

    mcp-tool

    {
  "type": "object",
  "required": [
    "createImageEditBody"
  ],
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    },
    "createImageEditBody": {
      "type": "object",
      "required": [
        "prompt",
        "image"
      ],
      "properties": {
        "n": {
          "type": "integer",
          "maximum": 10,
          "minimum": 1,
          "description": "The number of images to generate. Must be between 1 and 10."
        },
        "mask": {
          "type": "string",
          "format": "binary",
          "description": "An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`."
        },
        "size": {
          "enum": [
            "256x256",
            "512x512",
            "1024x1024"
          ],
          "type": "string",
          "description": "The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`."
        },
        "user": {
          "type": "string",
          "description": "A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n"
        },
        "image": {
          "type": "string",
          "format": "binary",
          "description": "The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask."
        },
        "prompt": {
          "type": "string",
          "description": "A text description of the desired image(s). The maximum length is 1000 characters."
        },
        "response_format": {
          "enum": [
            "url",
            "b64_json"
          ],
          "type": "string",
          "description": "The format in which the generated images are returned. Must be one of `url` or `b64_json`."
        }
      }
    }
  }
}
    arguments 61 lines
  • createImageVariation reads unknown never probed

    Creates a variation of a given image.

    mcp-tool

    {
  "type": "object",
  "required": [
    "createImageVariationBody"
  ],
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    },
    "createImageVariationBody": {
      "type": "object",
      "required": [
        "image"
      ],
      "properties": {
        "n": {
          "type": "integer",
          "maximum": 10,
          "minimum": 1,
          "description": "The number of images to generate. Must be between 1 and 10."
        },
        "size": {
          "enum": [
            "256x256",
            "512x512",
            "1024x1024"
          ],
          "type": "string",
          "description": "The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`."
        },
        "user": {
          "type": "string",
          "description": "A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n"
        },
        "image": {
          "type": "string",
          "format": "binary",
          "description": "The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square."
        },
        "response_format": {
          "enum": [
            "url",
            "b64_json"
          ],
          "type": "string",
          "description": "The format in which the generated images are returned. Must be one of `url` or `b64_json`."
        }
      }
    }
  }
}
    arguments 51 lines
  • createTranscription reads unknown never probed

    Transcribes audio into the input language.

    mcp-tool

    {
  "type": "object",
  "required": [
    "createTranscriptionBody"
  ],
  "properties": {
    "x-hapi-auth-state": {
      "type": "string"
    },
    "createTranscriptionBody": {
      "type": "object",
      "required": [
        "file",
        "model"
      ],
      "properties": {
        "file": {
          "type": "string",
          "format": "binary",
          "description": "The audio file object (not file name) to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n"
        },
        "model": {
          "type": "string",
          "description": "ID of the model to use. Only `whisper-1` is currently available.\n"
        },
        "prompt": {
          "type": "string",
          "description": "An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.\n"
        },
        "language": {
          "type": "string",
          "description": "The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.\n"
        },
        "temperature": {
          "type": "number",
          "description": "The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n"
        },
        "response_format": {
          "type": "string",
          "description": "The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n"
        }
      },
      "additionalProperties": false
    }
  }
}
    arguments 46 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

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  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 6484dcf4f367a72a.

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_ for your README measured, not declared

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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.

_ also on com.ai 7 entries

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.