"OpenAI Gym" matching MCP servers:

Use OpenAI text, image, speech, transcription, embeddings and moderation models from Claude, Cursor and any other MCP client.

MCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

This MCP server enables audio transcription using OpenAI Whisper, supporting various model sizes and base64-encoded audio input via stdio or HTTP transport.

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.

Enables LLMs to provide voice status updates via OpenAI TTS, ideal for background task progress reports.

Build AI voice agents that answer and place real phone calls over your own carrier, on any voice engine (Gemini Live, Sarvam, OpenAI, ElevenLabs and more) with one API key. Create agents, connect SIP trunks and numbers, run call campaigns, and read transcripts and costs from Claude Code, Codex, Cursor or any MCP client.

Provides multimedia understanding tools for LLM agents, enabling image, video, audio analysis and speech transcription via cloud-based MiMo V2.5 through OpenAI-compatible endpoints.

MCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables MCP-compatible agents to make safe, consented phone calls using Twilio and Deepgram.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

Enables transcription of local audio recordings and comparison of the resulting transcript—or two supplied texts offline—against a reference script to flag suspected omissions, additions, and substitutions.

Local voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.

Enables AI assistants to conduct phone interviews, deliver notifications, and manage HR communications through natural voice conversations using Twilio, Deepgram, and OpenAI.

An MCP server enabling AI assistants to make voice calls, send SMS/MMS, and manage group conversations using Twilio and OpenAI.

Serves a single set of typed, validated tool definitions to MCP clients over stdio, letting them perform real actions through one controlled executor. The same definitions power a speech-driven OpenAI tool-calling agent, so voice and MCP clients share identical, validated capabilities.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

Enables agents to access OpenAI-compatible transcription, live ASR, text-to-speech, voice cloning, phoneme recognition, and server-side file staging through streamable HTTP MCP tools.

Enables transcription and speaker diarization of audio files, interviews, and YouTube URLs, producing speaker-attributed transcripts with timestamps. Supports multiple backends (local Whisper, OpenAI API) and output formats (txt, vtt, srt, json).

Provides comprehensive access to OpenAI's API capabilities including chat completions, image generation, embeddings, text-to-speech, speech-to-text, vision analysis, and content moderation. Enables users to interact with GPT models, DALL-E, Whisper, and other OpenAI services through natural language commands.

Enables intelligent transcription of YouTube videos with automatic optimization for any video length, using local OpenAI Whisper processing and speaker diarization.

A multi-provider voice notification MCP server that enables Claude Code to provide auditory alerts for task completions, confirmation requests, and errors. It supports various TTS engines including VOICEVOX, Google Cloud TTS, and OpenAI for customizable voice feedback.

Enables AI-powered speech-to-text transcription of audio files and URLs using OpenAI Whisper, with support for 50+ languages and micropayments in USDC on Base via the x402 protocol.

Provides text-to-speech conversion through a unified MCP interface, supporting both local Kokoro and cloud OpenAI TTS engines with streaming audio, voice selection, and customization via natural language instructions.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.