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Once the Trackyard MCP server is installed, you can search and download music conversationally through your AI agent. No code required.

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Basic Workflow

1

Describe what you need

You: “I need upbeat music for a 30-second Instagram Reel about travel”
2

The AI searches Trackyard

Claude: “I’ll search Trackyard for upbeat travel music…”[Presents 3-5 top results with titles, artists, BPM, moods]
3

Choose a track

You: “Download the second one as a 30-second clip”
4

The AI downloads and saves

Claude: “Downloaded ‘Summer Wanderlust’ as a 30-second clip → travel_music.mp3”

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Example Conversations

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Simple Search and Download

You: "Find me chill lo-fi music for a coding stream"

Claude: "I'll search Trackyard for chill lo-fi music..."

[Results:]
1. Late Night Code - Lo-Fi Cafe (120 BPM, Chill, Relaxed)
2. Focus Flow - Beat Lab (95 BPM, Ambient, Minimal)
3. Terminal Sessions - Code Beats (110 BPM, Lo-Fi, Calm)

You: "Download the first one"

Claude: "Downloaded 'Late Night Code' (2:42) → late_night_code.mp3"

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Smart Trimming

You: "Find upbeat music for a product reveal video"

Claude: [presents 5 results]

You: "Download #3 as a 22-second clip with the big hit at 12 seconds"

Claude: "Downloaded 'Digital Sunrise' as a 22-second clip with the musical peak aligned to 12 seconds → product_reveal_music.mp3"

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Batch Operations

You: "Find 3 different tracks for travel videos and download 15-second clips of each"

Claude: [searches, presents 3 tracks]

"Downloaded 15-second clips:
1. Summer Wanderlust → track1.mp3
2. Open Road → track2.mp3
3. Horizon Chaser → track3.mp3"

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Advanced Use Cases

You: “Find electronic music with no vocals, 120-140 BPM, high energy”Claude: [searches with filters: has_vocals: false, min_bpm: 120, max_bpm: 140, energy_level: "high"]
You: “Show me 5 options for a corporate training video, then I’ll pick one”Claude: [presents 5 tracks with metadata, lets you audition via preview URLs, then downloads your choice]
You: “I need tense music for a chase scene, around 90 seconds, building in intensity”Claude: [searches with moods: “Tense”, “Suspenseful”, “Building” and downloads a 90-second clip]
You: “Give me 3 different vibes for a product demo: upbeat, minimal, and cinematic”Claude: [searches 3 times with different queries, downloads 3 clips]

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Tips for Best Results

Be specific: “upbeat electronic for tech demo” > “upbeat music”
Mention the use case: Context helps the AI infer genre, mood, and energy
Ask for previews: “Show me previews first” lets you audition before downloading
Use natural language: The AI understands “the big hit should land at 12 seconds” without technical jargon

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What the MCP Server Can Do

The Trackyard MCP server exposes these capabilities to AI agents:

Search

Natural language queries with optional filters (genre, mood, BPM, vocals, energy)

Download Full Tracks

Get the complete audio file with perpetual license

Smart Trimming

Auto-select best segments for specific durations

Hit Point Alignment

Choreograph musical peaks to specific offsets

Preview Streaming

Listen to 30-second previews before downloading

Account Info

Check credit balance and rate limits

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Limitations

Credit consumption: Each search and download consumes credits, just like the REST API. The AI will warn you when credits are low.
Rate limits apply: The MCP server is subject to the same rate limits as direct API calls (10 req/min on free tier).

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Next Steps

Setup Guide

Install the MCP server if you haven’t yet

What is MCP?

Learn more about the Model Context Protocol

API Reference

See what’s happening under the hood

Use Cases

Get inspired by real-world workflows