AudioPod AI

Audio AI tools: text-to-speech, voice cloning, music generation, stem separation, transcription.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "audiopod-ai": {
      "url": "https://mcp.audiopod.ai"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (10)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by AudioPod AI.

text_to_speech

Speech in 200+ languages, 500+ voices and custom clones

clone_voice

Clone a voice from a 5–30s reference clip

change_voice

Convert a recording to a different target voice

generate_music

Songs, instrumentals, rap, or vocal stems from a text prompt

separate_stems

Split a track into stems (vocals, drums, bass, …); two-stem mode = karaoke

separate_speakers

Isolate each speaker into a separate track

Documentation Overview

AudioPod MCP Server

Hosted Model Context Protocol server for AudioPod's audio AI. Give any MCP-capable agent — Claude Desktop, Claude Code, Cursor, Continue, Cline, Goose, Codex — ten audio tools over a single endpoint. No install, no local models, no GPU.


Endpoint	`https://mcp.audiopod.ai`
Transport	Streamable-HTTP (MCP `2025-06-18`)
Auth	`X-API-Key: ap_*` (or OAuth2 / JWT) — get a free key
Docs	https://docs.audiopod.ai/sdks/mcp
Discovery	`/.well-known/mcp/server-card.json`

Registry name: ai.audiopod/audiopod (official MCP Registry).

Installing with an agent? llms-install.md is the unattended-install guide — config for each client, how to verify, and the failures to expect.

Using a coding agent? AudiopodAI/audiopod-plugins wraps this server plus fourteen task skills as a one-command install for the major agent CLIs and editors.

Prefer HTTP? The same capabilities are a REST API, and the public Getting Started collection reaches a real 200 in two requests with no account and no API key. More about the collections.

Tools

Tool	Does
`text_to_speech`	Speech in 200+ languages, 500+ voices and custom clones
`clone_voice`	Clone a voice from a 5–30s reference clip
`change_voice`	Convert a recording to a different target voice
`generate_music`	Songs, instrumentals, rap, or vocal stems from a text prompt
`separate_stems`	Split a track into stems (vocals, drums, bass, …); two-stem mode = karaoke
`separate_speakers`	Isolate each speaker into a separate track
`transcribe_audio`	Transcribe with word-level timestamps and speaker diarization
`denoise_audio`	Remove background noise while preserving voice character
`convert_media`	Convert audio/video formats (mp3/wav/flac/ogg/m4a, mp4/mov)
`check_job_status`	Poll the status/result of a long-running job (free)

Long-running tools return a job_id; poll with check_job_status.

Add it

Claude Code

Terminal

claude mcp add --transport http audiopod https://mcp.audiopod.ai \
  --header "X-API-Key: ap_YOUR_KEY" --scope user

Claude Desktop / Cursor / Continue / Cline — add to your mcpServers config:

config.json

{
  "mcpServers": {
    "audiopod": {
      "url": "https://mcp.audiopod.ai",
      "headers": { "X-API-Key": "ap_YOUR_KEY" }
    }
  }
}

Try it (raw JSON-RPC)

bash

# List tools
curl -s https://mcp.audiopod.ai \
  -H "X-API-Key: ap_YOUR_KEY" -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# Text to speech
curl -s https://mcp.audiopod.ai \
  -H "X-API-Key: ap_YOUR_KEY" -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call",
       "params":{"name":"text_to_speech","arguments":{"text":"Hello from my agent."}}}'

Building a startup on this?

Apply to AudioPod for Startups — free Pro for 3 months plus developer API credits for eligible early-stage teams.

Links

Website — https://audiopod.ai
API + SDK docs — https://docs.audiopod.ai
MCP setup guide — https://docs.audiopod.ai/sdks/mcp

Two manifests live here and they are not interchangeable: server.json is the official registry entry (registry schema), server-card.json is the MCP server card — a reference copy, since the live card is served at the Discovery URL above.

License

MIT — see LICENSE. (Covers this listing/README; the AudioPod service itself is governed by the AudioPod Terms.)

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

7d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about AudioPod AI

AudioPod AI is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "audiopod-ai": { "url": "https://mcp.audiopod.ai" } }

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Technical Specs & Signals

CategorySpeech-to-Text

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools25/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🎙️ Speech-to-Text →Alternatives to AudioPod AI →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients