mcp-podcast-generator
Generates podcast audio from scripts using Google Gemini TTS, supporting single-host monologue and dual-host dialogue with optional intro/outro music and EBU R128 loudness normalization.
README
mcp-podcast-generator
An MCP (Model Context Protocol) server that generates podcast audio from scripts. It runs in Docker, exposes an HTTP endpoint, and provides a generate_podcast tool that:
- Converts scripts to speech using Google Gemini TTS (
gemini-2.5-flash-preview-tts) - Supports single-host monologue and dual-host dialogue formats
- Optionally adds intro/outro music fetched from any HTTPS URL (Cloudflare R2, S3, etc.)
- Applies EBU R128 loudness normalization via FFmpeg
- Outputs the final MP3 to a volume-mapped
/outputfolder
Getting Started
Prerequisites
- Docker and Docker Compose installed (get Docker)
- A Google AI Studio API key with access to Gemini models (get one here)
- (Optional) An intro/outro MP3 hosted on any HTTPS URL (Cloudflare R2, S3, etc.)
1. Clone and configure
git clone https://github.com/ivo-toby/mcp-podcast-generator.git
cd mcp-podcast-generator
cp .env.example .env
Open .env and set your API key:
GOOGLE_API_KEY=your_api_key_here
2. Create the output directory
MP3 files are written to ./output on the host (mapped to /output inside the container):
mkdir -p output
3. Start the server
docker compose up
The first run builds the Docker image (a few minutes). On success you'll see:
mcp-podcast-generator | MCP Podcast Generator listening on port 3000
To run in the background (detached):
docker compose up -d
4. Verify it's running
curl http://localhost:3000/health
# → {"status":"ok"}
Common Docker operations
# View logs (follow mode)
docker compose logs -f
# Stop the server
docker compose down
# Rebuild the image after code changes
docker compose up --build
# Remove containers and volumes (full reset)
docker compose down -v
5. Generate your first podcast
curl -s -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_podcast",
"arguments": {
"type": "single",
"hosts": [{ "name": "Host", "voice": "Kore" }],
"segments": [
{ "text": "Welcome to my first AI-generated podcast episode." },
{ "text": "Today we explore how easy it is to turn a script into audio." },
{ "text": "Thanks for listening. See you next time!" }
],
"outputFilename": "first-episode.mp3"
}
}
}' | jq .
On success you'll get back the output path and duration:
{
"success": true,
"outputPath": "/output/first-episode.mp3",
"durationSeconds": 18.4,
"downloadUrl": "http://localhost:3000/output/first-episode.mp3"
}
Your MP3 is available at http://localhost:3000/output/first-episode.mp3 and on disk at ./output/first-episode.mp3.
6. Install in Claude Desktop (optional)
With the container running, add the server to Claude Desktop's MCP configuration.
Find your config file:
| OS | Path |
|---|---|
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.json |
Add the server:
{
"mcpServers": {
"podcast-generator": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:3000/mcp"]
}
}
}
Claude Desktop doesn't support Streamable HTTP directly — mcp-remote bridges the connection. npx will download it automatically on first run.
If you already have other MCP servers configured, add podcast-generator alongside them inside the existing mcpServers object.
Restart Claude Desktop. The generate_podcast tool will appear in the tools panel. You can now ask Claude to generate a podcast directly:
"Generate a 5-minute dual-host podcast about the future of open source, using Alex (Charon) and Sam (Aoede), with intro music from https://podcast.briefcast.online/assets/music/intro.mp3, and save it as open-source-ep1.mp3"
Claude will call the tool and return the output path when done.
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
GOOGLE_API_KEY |
✅ | — | Google AI Studio API key (get one here) |
OUTPUT_DIR |
/output |
Directory where MP3 files are written | |
TEMP_DIR |
/tmp/podcast-gen |
Temporary processing directory | |
PORT |
3000 |
HTTP server port | |
PUBLIC_URL |
http://localhost:3000 |
Base URL used to construct download links returned by the tool. Set this to your public hostname when running behind a reverse proxy or on a remote server. |
MCP Endpoint
POST /mcp — Streamable HTTP transport (JSON-RPC 2.0)
GET /health — Health check, returns { "status": "ok" }
Tool: generate_podcast
Input Schema
{
// "single" = one host monologue, "dual" = two-host dialogue
type: "single" | "dual";
// Host configurations (1 for single, exactly 2 for dual)
hosts: Array<{
name: string; // Speaker label, e.g. "Alex"
voice: string; // Gemini prebuilt voice name (see list below)
}>;
// Script segments
segments: Array<{
speaker?: string; // Must match a host name (required for dual-host)
text: string; // The text to speak
}>;
// Output filename (written to OUTPUT_DIR)
outputFilename: string; // e.g. "episode-2026-04-02.mp3"
// Optional music (any HTTPS URL: R2, S3, etc.)
introMusicUrl?: string;
outroMusicUrl?: string;
// Audio processing options
fadeInDuration?: number; // seconds, default 2
fadeOutDuration?: number; // seconds, default 3
targetLufs?: number; // LUFS target, default -16
}
Output
{
"success": true,
"outputPath": "/output/episode-2026-04-02.mp3",
"durationSeconds": 245.3,
"downloadUrl": "http://localhost:3000/output/episode-2026-04-02.mp3"
}
Available Gemini Voices
| Voice | Character |
|---|---|
Aoede |
Warm, storytelling |
Charon |
Deep, authoritative |
Fenrir |
Bold, energetic |
Kore |
Clear, professional |
Puck |
Bright, conversational |
Orbit |
Smooth, measured |
Perseus |
Confident, direct |
Tethys |
Calm, thoughtful |
Vega |
Dynamic, expressive |
Zubenelgenubi |
Distinctive, memorable |
Example MCP Calls
Single Host
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_podcast",
"arguments": {
"type": "single",
"hosts": [{ "name": "Alex", "voice": "Charon" }],
"segments": [
{ "text": "Welcome to Tech Weekly, your daily dose of AI news." },
{ "text": "Today we're covering the latest developments in language models." },
{ "text": "That's all for today. Thanks for listening!" }
],
"outputFilename": "episode-2026-04-02.mp3",
"introMusicUrl": "https://your-bucket.r2.dev/intro.mp3",
"outroMusicUrl": "https://your-bucket.r2.dev/outro.mp3"
}
}
}
Dual Host
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_podcast",
"arguments": {
"type": "dual",
"hosts": [
{ "name": "Alex", "voice": "Charon" },
{ "name": "Sam", "voice": "Puck" }
],
"segments": [
{ "speaker": "Alex", "text": "Welcome back to the show! I'm Alex." },
{ "speaker": "Sam", "text": "And I'm Sam. Today we're talking about MCP servers." },
{ "speaker": "Alex", "text": "It's a fascinating topic. Let's dive in." },
{ "speaker": "Sam", "text": "Absolutely. Thanks everyone for listening!" }
],
"outputFilename": "episode-dual-2026-04-02.mp3",
"introMusicUrl": "https://your-bucket.r2.dev/intro.mp3",
"outroMusicUrl": "https://your-bucket.r2.dev/outro.mp3",
"fadeInDuration": 3,
"fadeOutDuration": 4,
"targetLufs": -16
}
}
}
curl Example
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_podcast",
"arguments": {
"type": "single",
"hosts": [{ "name": "Host", "voice": "Kore" }],
"segments": [{ "text": "Hello world, this is a test podcast episode." }],
"outputFilename": "test.mp3"
}
}
}'
Audio Pipeline
Input Script
│
▼
Gemini TTS (gemini-2.5-flash-preview-tts)
│ PCM 24kHz 16-bit mono (base64)
▼
FFmpeg: PCM → MP3 (192kbps libmp3lame)
│
▼
EBU R128 Normalization (two-pass, target: -16 LUFS)
│
├── [intro music URL] → download → fade-in
│
├── TTS audio (normalized)
│
└── [outro music URL] → download → fade-out
│
▼
FFmpeg concat (re-encoded, avoids frame boundary issues)
│
▼
Final EBU R128 normalization pass
│
▼
/output/episode.mp3
Using with an MCP Client
Add to your MCP client configuration:
{
"mcpServers": {
"podcast-generator": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:3000/mcp"]
}
}
}
Development
npm install
npm run dev # runs tsx src/index.ts directly
Requires ffmpeg and ffprobe installed locally for development.
Related
- briefcast — Full podcast pipeline that uses this server for audio generation
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