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Tunova MCP Server

answering

Tunova is answering right now. Last checked 8 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 48 days of history
48 days agonow
100.0%
Uptime 24h
92 of 92 checks
3
Tools
read from the server
260 ms
Response time
average over 24h
0
Stars
last commit 5 Jul 2026

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.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add tunova --transport http https://api.tunova.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "tunova": {
      "url": "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
{
  "mcpServers": {
    "tunova": {
      "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

URLTransportStateLatencyChecked
https://api.tunova.ai/mcp streamable-http answering 199 ms 8 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 92 of 92 checks got a reply (100.0%), average response time 260 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 with the file path 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 260 ms on average, which is faster than 56% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Tunova open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.