The Model Context Protocol (MCP) lets compatible AI clients discover tools, retrieve context, and call supported workflows without custom glue code. Connect AI assistants to Soundcharts data through the MCP to leverage real-time music analytics directly within your conversational interfaces. Soundcharts MCP is available on all plans.
What you can do with Soundcharts MCP
Integrating your AI model with Soundcharts allows you to automate workflows and query data seamlessly. Your AI assistant can execute actions and retrieve information across our global database.
Analyze artist performance: Access real-time insights from radio, streaming services, social media, videos, charts, and lyrics.
Build executive reports: Create powerful benchmarking and reporting to simplify performance comparisons, uncover opportunities, and optimize marketing strategies.
Access global data: Query data across our webapps, mobile apps, chrome extensions and an API directly from your prompt.
Requirements
A Soundcharts account with API access or a PRO dashboard plan.
An MCP-compatible client or agent runtime (e.g., Claude, Codex, Copilot, Lovable, n8n, OpenClaw).
Credentials scoped to the Soundcharts data your assistant should use.
Connection Details
Use your Soundcharts MCP credentials to authenticate tools. Configure your client using the parameters below.
Field | Value |
Server URL |
|
Transport |
|
Authentication |
|
mcp.json Configuration
The MCP JSON format uses an mcpServers object. Add Soundcharts as a remote HTTP server in your configuration file (e.g., ~/.claude/claude_desktop_config.json for Claude Desktop).
JSON
{ "mcpServers": { "soundcharts": { "type": "http", "url": "https://mcp.soundcharts.com", "headers": { "Authorization": "Bearer YOUR_SOUNDCHARTS_MCP_TOKEN" } } } }
Validation Steps
Save the configuration in your MCP client.
Restart or reload the client to read the new server configuration.
Ask the client to list the available Soundcharts tools.
Run a small request before executing larger workflows.