AI & Machine Learning
tunova.ai
Generates song audio using AI and provides real-time status monitoring.
ENDPOINT 1
https://api.tunova.ai/mcp
MCP server metadata
- Name
- Tunova
- Version
- 1.0.0
Generate music with Suno. Call generate_song to start a song (returns a job_id; rendering takes 1-3 minutes), then wait_for_song with that job_id to get the audio URL once ready. Use check_song for a one-shot status. Set X-API-Key (your sk_live_ key from https://tunova.ai/keys) in the MCP client headers.
Known tools 3
check_songGet the current status of a song job by job_id — a single check with no waiting.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.tunova]
url = "https://api.tunova.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"tunova": {
"type": "http",
"url": "https://api.tunova.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: tunova
Remote MCP URL: https://api.tunova.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"tunova": {
"url": "https://api.tunova.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"tunova": {
"type": "http",
"url": "https://api.tunova.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "tunova",
"transport": "streamable-http",
"url": "https://api.tunova.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
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Checking the associated registrable domain. The BuiltWith key remains server-side.
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