MCPSuno vs Tuney
A side-by-side look at the MCPSuno and Tuney MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
T
TuneyMultimedia ProcessRoyalty-free music fitted to your length: find, generate, adjust and download tracks and stems.36FairAuth: oauth 2.0Verdict: choose MCPSuno for multimedia process work as a local process; choose Tuney for multimedia process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCPSuno when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
suno_generate_music, suno_generate_custom_music, suno_extend_music.
TChoose Tuney when
- You need dedicated capabilities in the Multimedia Process domain.
- Its auth model fits you: OAuth 2.0.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | T Tuney | |
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 59/100 · Good | 36/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | API key required | OAuth 2.0 |
| Pricing | BYOK (pay the provider) | Freemium |
| Required env vars | None listed | None listed |
| Verified owner |
Tools & capabilities
MCPSuno tools 34
suno_generate_musicGenerate AI music from a text prompt using Suno's Inspiration Mode.suno_generate_custom_musicGenerate AI music with full control over lyrics, title, and style (Custom Mode).suno_extend_musicExtend an existing song from a specific timestamp with new lyrics.suno_cover_musicCreate a cover or remix version of an existing song in a different style.suno_concat_musicConcatenate extended song segments into a single complete audio file.suno_generate_with_personaGenerate music using a saved artist persona for consistent vocal style.suno_remaster_musicRemaster an existing song; v5/v5.5 require a variation category.suno_stems_musicSeparate a song into individual stems (vocals and instruments).suno_replace_sectionReplace a specific time range in a song with new generated content.suno_upload_extendExtend an uploaded audio (your own music) with new AI-generated content.suno_upload_coverCreate an AI cover of an uploaded audio (your own music).suno_mashup_musicBlend exactly two songs using a required creative-direction prompt.- +22 more on the listing page
Tuney tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCPSuno
{
"mcpServers": {
"acedatacloud-mcpsuno": {
"command": "uvx",
"args": [
"mcp-suno"
]
}
}
}
Tuney
No confirmed install command for Tuney yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
MCPSuno is categorized under Multimedia Process and uses a local stdio subprocess. Tuney belongs to Multimedia Process and uses an install path we have not confirmed yet. Pick MCPSuno for multimedia process work and Tuney for multimedia process.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Tuney has no confirmed install command yet — follow its own setup instructions.
MCPSuno is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Tuney is listed as freemium — a free tier with paid plans. Auth: oauth 2.0. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add acedatacloud-mcpsuno and tuney as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCPSuno has a quality signal of 59/100 (Good) with 4 views, 0 installs and 68 GitHub stars. Tuney has 36/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.
