mcp server
tunova
Generate Suno AI music (v5.5) from any MCP client. Async; billed only on success.
Description as published by the maintainer. Source
- version 0.1.1
- active
active — Most recent push to the repository was 2026-07-05.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
check_song(job_id)- 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. Required: job_id.
generate_song(tags, model, title, custom, prompt, instrumental, idempotency_key)- 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. Required: prompt.
wait_for_song(job_id, max_wait_seconds)- 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. Required: job_id.
Last successful function declaration observed on . Source: https://api.tunova.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://api.tunova.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | api.tunova.ai | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | api.tunova.ai |
Where to get it
Related, by what their authors tagged them
-
io.github.AceDataCloud/mcp-suno
— last commit 2026-08-05, shares music-generation, suno-api
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-
io.github.bnovik0v/moltdj
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-
io.github.AceDataCloud/mcp-producer
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These share tags the maintainers applied themselves, such as music-generation, suno-api, text-to-music, api. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai, api, mcp, model-context-protocol, music-generation, sdk, suno, suno-api, text-to-music.
This record as data
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