mcp server
OpenAI Tools MCP Server
Focused MCP server for OpenAI image/audio generation (v2.0.0). Wraps endpoints via HAPI CLI.
Description as published by the maintainer. Source
- version 0.6.0
- active
active — Most recent push to the repository was 2026-07-22.
What this server can do
9 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
createImage(createImageBody, x-hapi-auth-state)- Creates an image given a prompt. Required: createImageBody.
createImageEdit(x-hapi-auth-state, createImageEditBody)- Creates an edited or extended image given an original image and a prompt. Required: createImageEditBody.
createImageVariation(x-hapi-auth-state, createImageVariationBody)- Creates a variation of a given image. Required: createImageVariationBody.
createModeration(x-hapi-auth-state, createModerationBody)- Classifies if text violates OpenAI's Content Policy Required: createModerationBody.
createTranscription(x-hapi-auth-state, createTranscriptionBody)- Transcribes audio into the input language. Required: createTranscriptionBody.
createTranslation(x-hapi-auth-state, createTranslationBody)- Translates audio into English. Required: createTranslationBody.
deleteModel(model, x-hapi-auth-state)- Delete a fine-tuned model. You must have the Owner role in your organization. Required: model.
listModels(x-hapi-auth-state)- Lists the currently available models, and provides basic information about each one such as the owner and availability.
retrieveModel(model, x-hapi-auth-state)- Retrieves a model instance, providing basic information about the model such as the owner and permissioning. Required: model.
Last successful function declaration observed on . Source: https://openai-tools.run.mcp.com.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://openai-tools.run.mcp.com.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 8 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-22 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 3 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.6.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-01-22 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-01-22 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 9 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | openai-tools.run.mcp.com.ai | |
| mcp endpoint status | ok | The server listed 9 functions when asked. | as of probe | openai-tools.run.mcp.com.ai |
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