Tunova MCP Server

by erliona Your server? Claim it

answering

Tunova is answering right now. Last checked 7 min ago. It exposes 3 tools. Last commit 5 Jul 2026.

Generate Suno AI music (v5.5) from any MCP client. Async; billed only on success.

Uptime history 91 days of history · worst day 92%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

155 ms

Response time

average over 24h

Stars

last commit 5 Jul 2026

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 15 October 2026. No other catalogue keeps this.

15 Oct a tool changed the parameters it asks for generate_song

Nothing serious here today

Today is the operative word: we check Tunova every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add tunova --transport http https://api.tunova.ai/mcp

Settings → Connectors → Add custom connector, then paste this address

https://api.tunova.ai/mcp

~/.codex/config.toml

[mcp_servers.tunova]
url = "https://api.tunova.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "tunova": {
      "url": "https://api.tunova.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "tunova": {
      "type": "http",
      "url": "https://api.tunova.ai/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

generate

generate_song

Start generating a song with Suno. Returns immediately with a job_id — a full render takes 1-3 minutes, so this does NOT return audio. After calling this, call wait_for_song with the returned job_id to get the audio URL when ready. Costs 10 tokens, billed only on success.

song

check_song

Get the current status of a song job by job_id — a single check with no waiting. Returns the audio URLs if complete, an error if it failed, or 'processing' if still rendering.

wait

wait_for_song

Wait for a song job to finish and return the audio when ready. Polls server-side for up to ~45 seconds. If the song is ready, returns the clips with audio URLs. If it is still rendering, returns its status so you can call wait_for_song again with the same job_id. Safe to call repeatedly — it only reads status, never starts a new song.

Endpoints

URL	Transport	State	Latency	Checked
https://api.tunova.ai/mcp	streamable-http	answering	72 ms	7 min ago

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Tunova — questions

Answers built from our own checks of this server.

What can Tunova do?

It exposes 3 tools, read directly from the server on our last check. Among them: check_song, generate_song, wait_for_song. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Tunova working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 155 ms. The bar chart above shows every period we have measured.

How do I connect Tunova?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Tunova need an API key?

No. Tunova completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Tunova?

It answers our handshake in 155 ms on average, which is faster than 80% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Tunova open source?

The code is open source: it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at api.tunova.ai, which runs on its operator's own terms.