Databuddy
Product analytics for AI agents: traffic, funnels, goals, errors, Web Vitals, flags and links.
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 databuddy 'https://api.databuddy.cc/v1/mcp'
{
"mcpServers": {
"databuddy": {
"type": "http",
"url": "https://api.databuddy.cc/v1/mcp"
}
}
}
Frequently asked questions
What is Databuddy?
Product analytics for AI agents: traffic, funnels, goals, errors, Web Vitals, flags and links.
How do I install Databuddy?
It runs as a remote server. In Claude Code: claude mcp add --transport http databuddy 'https://api.databuddy.cc/v1/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Databuddy need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Databuddy open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Databuddy?
It is published by databuddy-analytics. 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.