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

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

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.

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.

MCP server that lets Claude place outbound telephone calls via ElevenLabs Agents over a SIP trunk and report the outcome including status, success evaluation, summary, and transcript.

Enables creating and managing ElevenLabs conversational AI agents with an interactive UI, voice selection, and configuration of agent behavior.

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

Enables seamless integration with ElevenLabs Conversational AI to manage agents, tools, and knowledge base sources. It supports RAG indexing, webhook integration, and document management for building advanced voice-enabled AI agents.

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.

An MCP server that makes AI agents speak a brief summary of every response out loud using TTS.

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 download, transcribe, and inspect video or audio URLs from YouTube, TikTok, X, and 1000+ other sites using server-side yt-dlp, residential proxies, and speech-to-text.

Enables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.

Create and manage voice AI agents using natural language from Claude Desktop or Cursor. Enables agent creation, listing, updating, deletion, and viewing call logs.

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

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Exposes the canonical WordCast knowledge surface — voice and TTS workflows, blog topics, FAQ, official links — to MCP-compatible AI clients. Read-only, no API keys required.

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 AI agents to generate speech using Gemini TTS models, with tools for text-to-speech, task polling, and pricing checks.

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