"Finding MCP servers that support SSE or Streamable HTTP, excluding stdio transport" matching MCP servers:

An MCP server that provides text-to-speech, speech-to-text, and voice management via ElevenLabs API.

Profile-driven MCP server for Google Cloud Text-to-Speech that exposes tools to synthesize text to speech, run diagnostics, and stop playback, with voice and settings locked per profile.

Enables text-to-speech generation through the Omotenashi QR API, supporting multiple languages (Japanese, English, Chinese, Korean) with customizable voice speakers and speed settings.

An MCP server that wraps the WellSaid Labs text-to-speech API, enabling Claude to generate lifelike voiceovers with voice selection, prosody control, and caption support directly from text.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

Enables coding agents to participate in voice calls, speaking replies while continuing their work and accepting spoken input or interruptions within the same conversation. It delivers voice input into Claude Code, Codex, Cursor, or custom HTTP endpoint workflows.

Provides ten hosted audio AI tools — TTS, voice cloning, music generation, stem separation, speaker separation, transcription, denoising, media conversion, and job polling — over a single streamable-HTTP endpoint for any MCP-capable agent.

Enables voice conversations and screen capture for AI agents via MCP-compatible clients, using Pipecat for speech-to-text and text-to-speech, with support for browser, WebRTC, and phone transport.

An MCP server that lets an AI assistant turn written text — or prose it writes itself — into narrated audiobooks with chapter-marked .m4b files, using local Kokoro voices entirely offline and free. It supports 54 voices across 9 languages, adjustable speed, voice blending, and chapter-level resumable rendering.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax's AI APIs. Supports stdio, REST, and SSE transports with configurable API hosts, output paths, and resource delivery modes.

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.

Provides local speech-to-text and text-to-speech through MCP and HTTP, enabling transcription, voice output, and standalone voice workflows without a gateway.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Enables AI assistants to synthesize speech with custom or cloned ElevenLabs voices and display an inline audio player with waveform visualization, transcript toggle, and dark mode support.

Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.

Enables agents to control a transparent, always-on-top desktop character window over a loopback-only local HTTP API — applying expressions, motions, parameters and gaze, speaking via TTS or uploaded audio with lip-sync, capturing screenshots, and switching models, window placement and visibility. Everything stays local, so no cloud account or manual token handling is required.

Exposes a single transcribe tool over streamable HTTP so containerised agents can send a media file name and receive text transcribed locally by MacWhisper on the host Mac's GPU, with token-gated access and no uploads or API keys. Callers place media in a configured directory, and the blocking call returns the finished transcript.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax APIs, with configurable transport modes and resource output.

A stdio MCP server that lets AI coding tools on a Mac speak text aloud through the local Speaklna text-to-speech app. It exposes four tools (speak, stop, status, voices) so agents can voice replies, halt playback, check state, and list available voices, but cannot import voices or change settings.

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 AI agents to search, rank, and retrieve 330 synthesized sound effects, themes, and spoken lines, and to generate ready-to-paste playback code or whole-app sound kits through a zero-dependency stdio MCP interface.

Enables authenticated remote access to xAI media generation for images, video, and speech over Streamable HTTP, with persistent media URLs, usage receipts, and enforced daily spend limits.

Enables MCP-compatible clients to generate images and videos, synthesize speech, and clone or design custom voices through MiniMax's AI APIs, with configurable local or URL resource output. Supports stdio, REST, and SSE transports for both local and cloud deployment.

Enables AI clients to convert text into spoken MP3 audio by calling a local voice gateway that renders it with the Eleven v4 model and delivers the result to either a local web playback list or a fixed Telegram chat. It also returns short clips as inline MCP audio content blocks for clients that support embedded playback.

Enables MCP-compatible clients to generate images and videos, synthesize text-to-speech audio, and clone or design custom voices. It also supports flexible output handling (URLs or local files) and multiple transport modes including stdio, REST, and SSE.

Enables asynchronous Microsoft Edge text-to-speech synthesis over MCP stdio, producing MP3 or OGG/Opus audio with optional SRT/WebVTT subtitles and word-timing JSON, plus Docker deployment support.

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.

Provides text-to-speech capabilities using Google's Gemini TTS API with support for multiple voices, automatic chunking of long text, multi-speaker dialogue, and audio playback via Windows Media Player.

MCP server for casting audiobooks from a local filesystem library to Google Cast speakers, with playback control and local TTS support.

MCP server that enables AI agents to place real Telegram voice calls and speak a message aloud via TTS, with configurable repeats and call handling.