mcp-say

<p align="center"> <a href="https://github.com/blacktop/mcp-tts"><img alt="mcp-tts Logo" src="https://raw.githubusercontent.com/blacktop/mcp-tts/main/docs/logo.webp" height="200" /></a> <h1 align="center">mcp-tts</h1> <h4><p align="center">MCP Server for TTS (Text-to-Speech)</p></h4> <p align="center"> <a href="https://github.com/blacktop/mcp-tts/actions" alt="Actions"> <img src="https://github.com/blacktop/mcp-tts/actions/workflows/go.yml/badge.svg" /></a> <a href="https://github.com/blacktop/mcp-tts/releases/latest" alt="Downloads"> <img src="https://img.shields.io/github/downloads/blacktop/mcp-tts/total.svg" /></a> <a href="https://github.com/blacktop/mcp-tts/releases" alt="GitHub Release"> <img src="https://img.shields.io/github/release/blacktop/mcp-tts.svg" /></a> <a href="http://doge.mit-license.org" alt="LICENSE"> <img src="https://img.shields.io/:license-mit-blue.svg" /></a> </p> <br> ## What? 🤔 Adds Text-to-Speech to things like Claude Desktop and Cursor IDE. It registers four TTS tools: - `say_tts` - `elevenlabs_tts` - `google_tts` - `openai_tts` ### `say_tts` Uses the macOS `say` binary to speak the text with built-in system voices ### `elevenlabs_tts` Uses the [ElevenLabs](https://elevenlabs.io/app/speech-synthesis/text-to-speech) text-to-speech API to speak the text with premium AI voices ### `google_tts` Uses Google's [Gemini TTS models](https://ai.google.dev/gemini-api/docs/speech-generation) to speak the text with 30 high-quality voices. Available voices include: **Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Puck, Pulcherrima, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubi** ### `openai_tts` Uses OpenAI's [Text-to-Speech API](https://platform.openai.com/docs/guides/text-to-speech) to speak the text with 10 natural-sounding voices: - **alloy** (Warm, conversational, modern) - **ash** (Confident, assertive, slightly textured) - **ballad** (Gentle, melodious, slightly lyrical) - **coral** (Cheerful, fresh, upbeat) - **echo** (Neutral, calm, balanced) - **fable** (Storyteller-like, expressive) - **nova** (Clear, precise, slightly formal) - **onyx** (Deep, authoritative, resonant) - **sage** (Soothing, empathetic, reassuring) - **shimmer** (Bright, animated, playful) - **verse** (Versatile, expressive) Supports three quality models: - **gpt-4o-mini-tts** - Default, optimized quality and speed - **tts-1** - Standard quality, faster generation - **tts-1-hd** - High definition audio, premium quality Additional features: - Speed control from 0.25x to 4.0x (default: 1.0x) - Custom voice instructions (e.g., "Speak in a cheerful and positive tone") via parameter or `OPENAI_TTS_INSTRUCTIONS` environment variable ## Configuration ### Sequential vs Concurrent TTS By default, the TTS server enforces sequential speech operations - only one TTS request can play audio at a time. This prevents multiple agents from speaking simultaneously and creating an unintelligible cacophony. Subsequent requests will wait in a queue until the current speech completes. **Multi-Instance Protection**: The mutex works both within a single MCP server process and across multiple Claude Desktop instances. When running multiple Claude Desktop terminals, they coordinate via a system-wide file lock to prevent overlapping speech. To allow concurrent TTS operations (multiple speeches playing simultaneously): **Environment Variable:** ```bash export MCP_TTS_ALLOW_CONCURRENT=true ``` **Command Line Flag:** ```bash mcp-tts --sequential-tts=false ``` > **Note:** Concurrent TTS may result in overlapping audio that's difficult to understand. Use this option only when you explicitly want multiple TTS operations to run simultaneously. ### Suppressing "Speaking:" Output By default, TTS tools return a message like "Speaking: [text]" when speech completes. This can interfere with LLM responses. To suppress this output: **Environment Variable:** ```bash export MCP_TTS_SUPPRESS_SPEAKING_OUTPUT=true ``` **Command Line Flag:** ```bash mcp-tts --suppress-speaking-output ``` When enabled, tools return "Speech completed" instead of echoing the spoken text. ### Saving Audio to Disk Save TTS audio output to files instead of (or in addition to) playing them: **Environment Variables:** ```bash export MCP_TTS_OUTPUT_DIR=/path/to/audio # Save audio files to this directory export MCP_TTS_NO_PLAY=true # Skip playback, only save (optional) ``` **Command Line Flags:** ```bash mcp-tts --output-dir /path/to/audio # Save and play mcp-tts --output-dir /path/to/audio --no-play # Save only, no playback ``` Files are saved with unique names: `tts_{timestamp}_{hash}.{ext}` | Provider | Format | |----------|--------| | macOS say | AIFF | | ElevenLabs | MP3 | | Google TTS | WAV | | OpenAI TTS | MP3 | ## Getting Started ### Install ```bash go install github.com/blacktop/mcp-tts@latest ``` ```bash ❱ mcp-tts --help TTS (text-to-speech) MCP Server. Provides multiple text-to-speech services via MCP protocol: • say_tts - Uses macOS built-in 'say' command (macOS only) • elevenlabs_tts - Uses ElevenLabs API for high-quality speech synthesis • google_tts - Uses Google's Gemini TTS models for natural speech • openai_tts - Uses OpenAI's TTS API with various voice options Each tool supports different voices, rates, and configuration options. Requires appropriate API keys for cloud-based services. Designed to be used with the MCP (Model Context Protocol). Usage: mcp-tts [flags] Flags: -h, --help help for mcp-tts --no-play Skip playback, only save (requires --output-dir) --output-dir string Save audio files to directory (env: MCP_TTS_OUTPUT_DIR) --sequential-tts Enforce sequential TTS (prevent concurrent speech) (default true) --suppress-speaking-output Suppress 'Speaking:' text output -v, --verbose Enable verbose debug logging ``` ### Configuration #### [Claude Desktop](https://claude.ai/download) Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "say": { "command": "mcp-tts", "env": { "ELEVENLABS_API_KEY": "********", "ELEVENLABS_VOICE_ID": "1SM7GgM6IMuvQlz2BwM3", "GOOGLE_AI_API_KEY": "********", "OPENAI_API_KEY": "********", "OPENAI_TTS_INSTRUCTIONS": "Speak in a cheerful and positive tone", "MCP_TTS_SUPPRESS_SPEAKING_OUTPUT": "true", "MCP_TTS_ALLOW_CONCURRENT": "false" } } } } ``` #### [Claude Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview) ```bash claude mcp add say \ -e GOOGLE_AI_API_KEY=your_key \ -e ELEVENLABS_API_KEY=your_key \ -e OPENAI_API_KEY=your_key \ -- mcp-tts ``` #### [Codex CLI](https://platform.openai.com/docs/guides/mcp) ```bash codex mcp add say \ --env GOOGLE_AI_API_KEY=your_key \ --env ELEVENLABS_API_KEY=your_key \ --env OPENAI_API_KEY=your_key \ -- mcp-tts ``` #### [Gemini CLI](https://github.com/google/gemini-cli) ```bash gemini mcp add say mcp-tts \ -e GOOGLE_AI_API_KEY=your_key \ -e ELEVENLABS_API_KEY=your_key \ -e OPENAI_API_KEY=your_key ``` Or manually add to `~/.gemini/settings.json` (or `.gemini/settings.json` in project root): ```json { "mcpServers": { "say": { "command": ["mcp-tts"], "env": { "GOOGLE_AI_API_KEY": "..." } } } } ``` #### Environment Variables - `ELEVENLABS_API_KEY`: Your ElevenLabs API key (required for `elevenlabs_tts`) - `ELEVENLABS_VOICE_ID`: ElevenLabs voice ID (optional, defaults to a built-in voice) - `GOOGLE_AI_API_KEY` or `GEMINI_API_KEY`: Your Google AI API key (required for `google_tts`) - `OPENAI_API_KEY`: Your OpenAI API key (required for `openai_tts`) - `OPENAI_TTS_INSTRUCTIONS`: Custom voice instructions for OpenAI TTS (optional, e.g., "Speak in a cheerful and positive tone") - `MCP_TTS_SUPPRESS_SPEAKING_OUTPUT`: Set to "true" to suppress "Speaking:" output (optional) - `MCP_TTS_ALLOW_CONCURRENT`: Set to "true" to allow concurrent TTS operations (optional, defaults to sequential) - `MCP_TTS_OUTPUT_DIR`: Directory to save audio files (optional) - `MCP_TTS_NO_PLAY`: Set to "true" to skip playback when saving (optional, requires `MCP_TTS_OUTPUT_DIR`) ### Test #### Test macOS TTS ```bash ❱ cat test/say.json | go run main.go --verbose 2025/03/23 22:41:49 INFO Starting MCP server name="Say TTS Service" version=1.0.0 2025/03/23 22:41:49 DEBU Say tool called request="{Request:{Method:tools/call Params:{Meta:<nil>}} Params:{Name:say_tts Arguments:map[text:Hello, world!] Meta:<nil>}}" 2025/03/23 22:41:49 DEBU Executing say command args="[--rate 200 Hello, world!]" 2025/03/23 22:41:49 INFO Speaking text text="Hello, world!" ``` ```json {"jsonrpc":"2.0","id":3,"result":{"content":[{"type":"text","text":"Speaking: Hello, world!"}]}} ``` #### Test Google TTS ```bash ❱ cat test/google_tts.json | go run main.go --verbose 2025/05/23 18:26:45 INFO Starting MCP server name="Say TTS Service" version="" 2025/05/23 18:26:45 DEBU Google TTS tool called request="{...}" 2025/05/23 18:26:45 DEBU Generating TTS audio model=gemini-2.5-flash-preview-tts voice=Kore text="Hello! This is a test of Google's TTS API. How does it sound?" 2025/05/23 18:26:49 INFO Playing TTS audio via beep speaker bytes=181006 2025/05/23 18:26:53 INFO Speaking via Google TTS text="Hello! This is a test of Google's TTS API. How does it sound?" voice=Kore ``` ```json {"jsonrpc":"2.0","id":4,"result":{"content":[{"type":"text","text":"Speaking: Hello! This is a test of Google's TTS API. How does it sound? (via Google TTS with voice Kore)"}]}} ``` #### Test OpenAI TTS ```bash ❱ cat test/openai_tts.json | go run main.go --verbose 2025/05/23 19:15:32 INFO Starting MCP server name="Say TTS Service" version="" 2025/05/23 19:15:32 DEBU OpenAI TTS tool called request="{...}" 2025/05/23 19:15:32 DEBU Generating OpenAI TTS audio model=tts-1 voice=nova speed=1.2 text="Hello! This is a test of OpenAI's text-to-speech API. I'm using the nova voice at 1.2x speed." 2025/05/23 19:15:34 DEBU Decoding MP3 stream from OpenAI 2025/05/23 19:15:34 DEBU Initializing speaker for OpenAI TTS sampleRate=22050 2025/05/23 19:15:36 INFO Speaking text via OpenAI TTS text="Hello! This is a test of OpenAI's text-to-speech API. I'm using the nova voice at 1.2x speed." voice=nova model=tts-1 speed=1.2 ``` ```json {"jsonrpc":"2.0","id":5,"result":{"content":[{"type":"text","text":"Speaking: Hello! This is a test of OpenAI's text-to-speech API. I'm using the nova voice at 1.2x speed. (via OpenAI TTS with voice nova)"}]}} ``` #### Test the mutex behavior with multiple TTS requests ```bash # Sequential mode (default) - speeches play one after another cat test/sequential.json | go run main.go --verbose # Concurrent mode - allows overlapping speech cat test/sequential.json | go run main.go --verbose --sequential-tts=false ``` ## Skill: `speak` This repo includes a **speak** skill that automatically announces plans, issues, and summaries aloud using TTS. Each project gets a unique voice so you can identify which project is speaking from another room. Skills follow the [Agent Skills](https://agentskills.io) open standard and work across Claude Code, Codex CLI, and Gemini CLI. ### Install Skill #### skills.sh ```bash npx skills add https://github.com/blacktop/mcp-tts --skill speak ``` #### Claude Code **Via Plugin Marketplace** (recommended): ```bash claude plugin marketplace add blacktop/mcp-tts claude plugin install speak@mcp-tts ``` **Or manually:** ```bash mkdir -p ~/.claude/skills git clone https://github.com/blacktop/mcp-tts.git /tmp/mcp-tts cp -r /tmp/mcp-tts/skill ~/.claude/skills/speak ``` The skill is now available. Claude will use it automatically when relevant, or invoke directly with `/speak`. #### Codex CLI **Using the skill-installer** (within a Codex session): ``` $skill-installer install the speak skill from https://github.com/blacktop/mcp-tts --path skill ``` **Or manually:** ```bash mkdir -p ~/.codex/skills git clone https://github.com/blacktop/mcp-tts.git /tmp/mcp-tts cp -r /tmp/mcp-tts/skill ~/.codex/skills/speak ``` Restart Codex after installing. #### Gemini CLI Gemini CLI uses **extensions** to bundle skills. Install this repo as an extension: ```bash gemini extensions install https://github.com/blacktop/mcp-tts.git ``` This installs the `speak` skill. **Or manually** (skill only): ```bash mkdir -p ~/.gemini/skills git clone https://github.com/blacktop/mcp-tts.git /tmp/mcp-tts cp -r /tmp/mcp-tts/skill ~/.gemini/skills/speak ``` > **Note:** Gemini CLI skills are experimental. Enable via `/settings` → search "Skills" → toggle on. ### Shared Skills Directory (Optional) To maintain one copy across all agents, run the install script: ```bash git clone https://github.com/blacktop/mcp-tts.git cd mcp-tts ./install-skill.sh ``` This copies the skill to `~/.agents/skills/speak` and creates symlinks for Claude Code, Codex CLI, and Gemini CLI. ### Verify Installation | Agent | Command | |-------|---------| | Claude Code | Ask "What skills are available?" or type `/speak` | | Codex CLI | Skills load automatically on restart | | Gemini CLI | `gemini extensions list` or check `/settings` for skills | ### How It Works The skill triggers automatically after: - **Planning complete** - When a plan/todo list is finalized - **Issue resolved** - When a bug fix or error is resolved - **Summary generated** - When completing a major task Providers fallback in order: `google` → `openai` → `elevenlabs` → `say` (macOS). If a provider fails due to missing API keys, it's marked unavailable and skipped in future attempts. ## License MIT Copyright (c) 2025 **blacktop**