Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http track 'https://alg.katrinalaszlo.com/mcp' --header 'Authorization: <Bearer token: a Track workspace key with read scope.>'
{
"mcpServers": {
"track": {
"type": "http",
"url": "https://alg.katrinalaszlo.com/mcp",
"headers": {
"Authorization": "<Bearer token: a Track workspace key with read scope.>"
}
}
}
}
Frequently asked questions
What is Track?
Read which AI agents call your API, which paths convert, and which journeys pay.
How do I install Track?
It runs as a remote server. In Claude Code: claude mcp add --transport http track 'https://alg.katrinalaszlo.com/mcp' --header 'Authorization: <Bearer token: a Track workspace key with read scope.>'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Track need an API key?
Yes. It expects Authorization, which you set in its configuration.
Is Track open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Track?
It is published by katrinalaszlo. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.