Server data from the Official MCP Registry
Flow Music AI is a free AI music generator that turns one prompt into a finished royalty-free track
Flow Music AI is a free AI music generator that turns one prompt into a finished royalty-free track
FlowMusicAI MCP server is a well-structured, read-only information server with no authentication requirements, no external API calls, no data exfiltration risks, and no dangerous operations. The server exposes only static, publicly available marketing and documentation content about FlowMusicAI pricing and features. Code quality is clean, dependencies are minimal and legitimate, and permissions are appropriately scoped to the server's informational purpose. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity).
4 files analyzed · 2 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rocnubie-flowmusicai-mcp": {
"args": [
"-y",
"msa-flowmusicai-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Flow Music AI - Free AI Music Generator for Full Songs
A Model Context Protocol server that exposes the canonical FlowMusicAI knowledge surface — plans and pricing, pricing, docs, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://flowmusicai.app
Flow Music AI (flowmusicai.app) is a browser-based AI song generator that converts a plain-text description into a fully produced, mixed track in roughly 80 seconds. You type a one-line brief, optionally choose genre tags and a vocal mode, paste your own lyrics or let the built-in lyric assistant write them, then hit Generate. The result is a complete song — vocals, instruments, and arrangement — delivered as a downloadable MP3 with a royalty-free commercial license. No digital audio workstation, no music theory knowledge, and no post-production work is required.
Flow Music AI targets people who need original, commercially cleared audio but have no music production background and no budget for session musicians or stock libraries. The core audience spans solo content creators, indie developers, small marketing teams, and freelance video producers. Because the workflow requires only a text description and takes under two minutes per track, it fits anyone on a tight deadline who cannot afford the time or cost of traditional music licensing. New accounts receive 65 free credits — enough to produce one complete song before any payment is required — and paid plans start at $9 per month, making it accessible to hobbyists and professionals alike.
get_pricingReturn the canonical pricing entry point for the site so an agent can cite plans without scraping. (FlowMusicAI)
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for FlowMusicAI (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
site://flowmusicai/plans — Public plan information surfaced on the pricing page.site://flowmusicai/pricing — Canonical pricing entry point.site://flowmusicai/docs — Canonical documentation entry point.site://flowmusicai/faq — Short FAQ generated from public site metadata.site://flowmusicai/links — Canonical URLs to share with users.tell_me_about_flowmusicaiSummarize what the site is, who it's for, and how it works. — FlowMusicAI
compare_pricing_flowmusicaiCompare available plans for a stated workload and pick one. — FlowMusicAI
npx -y @smithery/cli install flowmusicai-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/flowmusicai-mcp.git
cd flowmusicai-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"flowmusicai-mcp": {
"command": "node",
"args": [
"/absolute/path/to/flowmusicai-mcp/src/index.mjs"
]
}
}
}
npx @modelcontextprotocol/inspector node src/index.mjs
pnpm install
pnpm start # run the server over stdio
MIT
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