Databuddy MCP Server
databuddy-analytics/Databuddy
[](https://agentrank-ai.com/tool/databuddy-analytics--Databuddy/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Open-source product analytics for startups: track visitors, events, funnels, and goals without cookies, and ask Databunny, the built-in AI analyst. Uptime, feature flags, and short links in the same dashboard.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
databuddy-analytics/Databuddy is a TypeScript tool licensed under AGPL-3.0. Open-source product analytics for startups: track visitors, events, funnels, and goals without cookies, and ask Databunny, the built-in AI analyst. Uptime, feature flags, and short links in the same dashboard. Topics: alternative, analytics, europe, gdpr, gdpr-compliant, google-analytics, privacy, web-analytics, ai-analytics, cookieless, feature-flags, mcp, nextjs, open-source, product-analytics, uptime-monitoring.
Ranked #904 out of 24846 indexed tools.
In the top 4% of all indexed tools.
Has 1,202 GitHub stars.
Used by 91 other projects.
Has 58 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1,202 stars → well-known project
Last commit 7d ago → actively maintained
42/97 issues closed → many open issues
58 contributors → active community
91 dependents → few downstream users
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Databuddy Understand how people use your product: where they come from, what they do, and where they drop off. Use that insight to decide what to build or improve next. Databuddy is open-source product analytics for startups. One cookieless script tracks visitors, custom events, funnels, and goals, with opt-in error and web vitals tracking. Databunny, the built-in AI analyst, answers questions about your data and shows the query behind each answer. Feature flags, short links, and uptime monitoring run in the same dashboard. - **Building a product?** [Try hosted Databuddy](https://app.databuddy.cc) or follow the [tracker setup guide](https://www.databuddy.cc/docs/getting-started). - **Running your own stack?** Read [self-hosting](#self-hosting) below. A packaged release is still pending. - **Want to help build Databuddy?** Read the [contributor guide](CONTRIBUTING.md). Bug reports and docs fixes count too. ## Self-hosting Run Databuddy on your server with Docker Compose. It setsRead full README on GitHub →
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