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@fre4x/openai
Advanced tools
OpenAI MCP server providing multimodal analysis, image generation, and transcription.
Vision, imagination, and perception. The intelligence of OpenAI, delivered through the Model Context Protocol.
Part of FRE4X-B1TE — a monorepo of MCP servers built for autonomous agents.
This B1TE bridges your agent directly to OpenAI's advanced models — enabling it to see with GPT-4o, imagine with GPT Image 2, and hear with Whisper.
| Tool | Capability |
|---|---|
analyze_media | Analyze an image from a file:// or http(s):// URL. Prompt is optional. |
list_models | List available OpenAI models with pagination. |
generate_image | Image synthesis via GPT Image 2. Embeds base64 image data and optionally saves to output_dir. |
transcribe_audio | Transcribe local audio files using Whisper (whisper-1) and auto-save a .txt transcript. |
generate_speech | Generate speech audio from text and optionally save it locally. |
OPENAI_API_KEY: Your OpenAI API key.MOCK: Set to true to use mock data instead of real API calls.{
"mcpServers": {
"openai": {
"command": "npx",
"args": ["-y", "@fre4x/openai"],
"env": {
"OPENAI_API_KEY": "your-key-here"
}
}
}
}
content (Markdown) and structuredContent (Raw Data) model for high-fidelity agent interaction.content.text carries enough detail for autonomous follow-up, including model IDs, generated image metadata, revised prompts, saved paths, transcript metadata, and speech metadata.outputSchema for reliable data parsing and reduced hallucinations.analyze_media accepts only file:// and http(s):// URLs. data: URLs are rejected at validation time.transcribe_audio always writes openai_transcription_{number}.txt into the current working directory unless output_dir overrides the destination.npm install
npm run build
npm run typecheck
npm test
MOCK=true npm run inspector
MIT — WE ARE THE FRE4X.
FAQs
OpenAI MCP server providing multimodal analysis, image generation, and transcription.
The npm package @fre4x/openai receives a total of 62 weekly downloads. As such, @fre4x/openai popularity was classified as not popular.
We found that @fre4x/openai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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