"A tool or software for drawing graphs" matching MCP servers:

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Records a screen or region into a silent video, ingests timeline events from other tool servers, then synthesizes, aligns, and muxes narration with captions over the take.

Provides VOICEVOX text-to-speech as an MCP tool. Requires a running VOICEVOX engine on localhost.

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 text-to-speech synthesis using VOICEPEAK software with support for custom narrators, emotions, and pronunciation dictionaries. Allows generating and playing audio files from text with configurable voice parameters.

MCP server wrapping the ownvoice CLI as a single generic run tool for voice/identity checks.

A QQ toolbox MCP server that lets an agent manage Qzone posts (publish, list, like, comment, delete, set visibility), friend feeds, visitors, confession-wall submissions and scheduled posts, while also editing the bot's profile (avatar, nickname, signature, online status, status lookup) via OneBot/SnowLuma. It additionally sends images and text-to-speech voice clips into private or group chats and manages tool whitelists.

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 Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.

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.

An MCP server that turns a script into a Hyperplexed-style motion-graphics MP4. Plug the URL into Claude Desktop, Cursor, or any MCP-compatible agent and it gains a render_video tool.

Hosted text-to-speech MCP server for AI agents with 54 neural voices in 9 languages, including Brazilian Portuguese. Pay-per-use API, no GPU or subscriptions needed.

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

Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.

Enables AI agents to access local voice synthesis, zero-shot cloning, and voice catalog tools through native MCP tool calls for applications like Claude and Cursor.

A lightweight MCP server that converts text to speech using MiniMax TTS API, exposing a generate_speech tool for AI to speak with customizable emotion, speed, and language.

An MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.

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 agents to synthesize text with local IndexTTS zero-shot voice cloning and send the result as QQ voice messages through OneBot, with a health-check tool for service, model, and gateway status.

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 text-to-speech synthesis using VOICEVOX Web API with customizable speaker selection. Features a specialized tool for generating speech as Asuka Langley from Evangelion and provides access to available speaker lists.

Enables MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

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.

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

Exposes a text-to-speech announcement tool for the CastleCall home PA system on Raspberry Pi. It enables users to broadcast voice messages using local Piper or cloud-based ElevenLabs providers through the Model Context Protocol.

Enables clients to browse available voices, generate speech audio from text or supported SSML, and produce UK English output via a convenience tool, while keeping API credentials server-side.