"A tool for storing chat conversations and generating knowledge graphs" matching MCP servers:

A local stdio MCP server that enables validated access to official ElevenLabs APIs with cost controls, local media storage, and audio export for Godot.

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.

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.

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 spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

Enables text-to-speech audio generation using ElevenLabs voices directly from Claude conversations, supporting single and batch conversion, voice listing, and voice ID lookup.

Enables MCP clients like Claude Desktop and Cursor to interact with MiniMax APIs for generating speech, cloning voices, creating videos, and generating images.

A text-to-speech MCP server that enables AI assistants to speak using the VOICEVOX engine with support for multi-character conversations. It features queue management, low-latency streaming via FFplay, and cross-platform playback across Windows, macOS, and Linux.

Connects Antigravity to a LiteLLM instance, enabling chat completions, model listing, health checks, and more via the Model Context Protocol.

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

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.

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.

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.

A Node.js + TypeScript MCP server that proxies to DeepSeek's Chat, Image, and TTS APIs for conversation, image generation, and text-to-speech.

A Claude Code MCP server that converts saved articles into AI-generated conversational podcasts tailored to user interests. It operates locally, fetching articles, generating dialogue scripts using Claude's LLM, and synthesizing audio through various TTS providers.

Enables cloning a voice from a local audio or video file and generating shareable audio-reactive waveform MP4 videos of spoken text, with customizable palettes, photos, and layouts, all through natural language from MCP-aware agents.

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.

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.

Enables Claude to act as an autonomous radio DJ, generating live-coded music with Strudel, making text-to-speech announcements, and responding to audience requests through a browser UI.

Enables AI agents and applications to send audio notifications with text-to-speech, message streaming, agent-to-agent conversations, and web push notifications through a persistent message store and MCP integration.

Enables AI assistants to speak aloud by generating and playing audio through the system output. Supports multiple TTS providers, playback queue management, and configurable voice profiles.

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 DSH chat interfaces to display a draggable/zoomable Live2D mascot with TTS speech, expression/model/motion switching, and mood-based expression changes via MCP tools.

Enables an AI to place zero-cost SIP voice calls to a user's iPhone and hold multi-turn spoken conversations, with speech-to-text, text-to-speech, and barge-in interruption, exposed as MCP tools such as call_start, converse, and call_end.