"Building OpenAI Agents SDK Using Official Documentation" matching MCP servers:

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 AI agents to synthesize speech via the unlimitedtts API, handling x402 micropayments, spend policy enforcement, and storage of private MP3 results.

An OpenAI-compatible text-to-speech API server that enables voice cloning, long-form generation, and can be used as a Claude Code tool for speech synthesis.

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

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

A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.

Enables MCP agents to retrieve Japanese voice presets and synthesize anime-style speech, including reference-conditioned voice cloning, using the CPU of the computer running the local Gradio app.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

Enables Alexa+ and other voice agents to tell personalized, feelings-aware bedtime stories using a child's saved hero profile, with interactive choices, timed wind-down stories, and optional MP3 narration.

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

Enables MCP-compatible agents to control a desktop mascot by switching its appearance and voice, showing speech-bubble dialogue, and managing state such as affinity.

Official MCP server that enables interaction with ElevenLabs Text to Speech and audio processing APIs. It allows generating speech, cloning voices, transcribing audio, and creating sound effects through natural language.

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 speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.

Minimal MCP server in TypeScript with a LangChain/OpenAI assistant (assist tool) and tools for weather, math, and text-to-speech.

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.

Integrates with Claude and Cursor using the Model Context Protocol to generate voice audio from text using Resemble AI's voices.

Enables remote management of HyperFrames video projects over Streamable HTTP, including project creation, file authoring, linting, validation, composition inspection, rendering, transcription, TTS, catalog access, documentation, and CLI operations.