Connect-MCP

io.github.erliona/tunova

io.github.erliona/tunova · v0.1.1

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

MCPremoteAPI keyImages, video & audio

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 3 tools · 1 read, 1 write · Images, video & audio

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://api.tunova.ai/mcp

Tools

3 tools listed at last check
  • 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.
  • 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 re
  • 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.

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Repository