The Model Context Protocol, commonly called MCP, is rapidly becoming the standard way AI agents connect to external tools and services. For music, it means an AI agent working on any creative project can search a catalog, retrieve track data, or look up music industry information with a single connection and no manual integration work.

What is MCP?

MCP is an open protocol published by Anthropic in November 2024 and now maintained as an open standard on GitHub. It has since been adopted by OpenAI, Google DeepMind, and virtually every major AI platform. The protocol solves a specific problem: before MCP, connecting an AI model to an external tool required a custom integration for every combination of model and tool. With dozens of AI models and thousands of tools, that created an enormous amount of duplicated work.

MCP is often described as the USB-C of AI. Just as USB-C gives you a single connector that works with any compatible device, MCP gives AI agents a single protocol that works with any compatible tool or service. Build one MCP server, and every MCP-compatible AI client can use it immediately, including Claude, ChatGPT, Cursor, and others.

How MCP Works

An MCP server exposes a set of tools, each with a name, a description, and a defined input schema. When an AI agent connects to an MCP server, it first calls tools/list to discover what tools are available. From that point, the agent can call any tool by name, passing the required arguments, and receive a structured response.

All communication happens over JSON-RPC 2.0, a lightweight remote procedure call protocol. A hosted MCP server like the one at OnChain Music runs at a public URL and requires no local installation. The agent simply points to the URL and connects.

From the agent's perspective, calling an MCP tool is no different than calling a function. The complexity of the underlying API, database queries, or business logic is completely hidden. The agent sees a clean interface and gets a structured result back.

What an MCP Server for Music Does

A music MCP server exposes music-specific capabilities as callable tools. The OnChain Music MCP server at https://onchainmusic.com/api/mcp currently provides 13 tools:

Catalog
🔍
search_catalog

Search the OnChain Music catalog of 8,700+ independently owned, fully cleared songs, plus partner catalogs.

🧠
ai_search

Search the OnChain Music catalog using a plain English description.

đŸŽĩ
get_track

Retrieve full metadata for a specific track from the OnChain Music catalog or a partner catalog, including license pricing, available download formats, artist information, BPM, key, mood, and license terms.

Licensing
🧾
initiate_license

Start a license purchase for any track, including partner tracks.

✅
verify_license

Check whether a license payment has been confirmed on Base.

Music Industry Knowledge
🔊
get_loudness_standards

Returns the official loudness normalization standards for major music and video platforms.

💰
calculate_songwriter_publisher_split

Split gross songwriter royalties between the songwriter and publisher, and describe the deal type (self-published, co-publishing, full publishing).

💰
calculate_cowriter_split

Split gross songwriter royalties among co-writers by their percentage shares.

💰
calculate_producer_points

Calculate per-unit and total earnings for a producer points deal: the master royalty, the producer's share, and the artist's net.

💰
calculate_sync_fee_split

Split a sync licensing fee between the master rights side and the publishing side, then split the publishing side between publisher and songwriter.

💰
estimate_streaming_royalties

Estimate low, mid, and high streaming payouts for a number of streams on a platform, before and after the artist royalty rate.

🎸
get_genre_conventions

Returns music industry conventions for a given genre including typical BPM ranges, song structure, instrumentation, key tendencies, production characteristics, and common sync use cases.

đŸ› ī¸
get_license_options

List license options with prices in USD.

The catalog tools drive music discovery, and the licensing tools let an agent purchase a license and receive the files without leaving the conversation. The 8 knowledge tools work for any music project, not just tracks on the OnChain Music platform.

Who Uses MCP Servers?

MCP servers are used by AI agent developers building automated workflows. A developer building a video production agent might connect it to the OnChain Music MCP server so the agent can automatically find and license appropriate background music for each video it produces. A developer building a music production assistant might use the genre conventions and loudness standards tools to give their agent reliable industry knowledge.

Individual users of Claude Desktop and Cursor can also connect to MCP servers directly. If you add the OnChain Music MCP server to your client config, you can ask Claude to find you music for a project and it will search the actual catalog and return real results, not a general suggestion to visit a website.

How to Connect

Connecting to the OnChain Music MCP server requires adding a single entry to your MCP client configuration. No API key, no account registration, no setup beyond this:

// Add to your Claude Desktop, Cursor, or MCP client config
{
  "mcpServers": {
    "onchain-music": {
      "type": "url",
      "url": "https://onchainmusic.com/api/mcp"
    }
  }
}

Once connected, the agent has immediate access to all 13 tools and can call them in the course of any conversation or automated workflow.

The OnChain Music MCP server requires no authentication and is free to use for music discovery. Catalog search, AI search, track retrieval, and all 8 knowledge tools are available at no cost. Licensing a track for actual use requires a USDC payment on Base, starting at $10 for a social media license.

Why This Matters for the Music Industry

The music industry has historically been slow to build developer-friendly infrastructure. Licensing required phone calls, PDFs, and negotiations. The emergence of MCP as a universal standard for agent connectivity is an opportunity for music platforms to be part of the agentic web from the start rather than being left out of it.

Every AI agent that connects to a music MCP server and successfully licenses a track is a new revenue stream that did not exist before. As AI-generated content continues to grow, the agents producing that content will increasingly need licensed music. The platforms that are accessible to those agents will capture that demand.