PascaleBeier/hitkeep
by Various
HitKeep is privacy-first analytics for humans and AI agents, self-hosted or in managed EU/US cloud regions.
MCP
PascaleBeier/hitkeep
Added 4 July 2026
Overview
HitKeep is a privacy-first analytics tool designed for both human users and AI agents. It can be self-hosted or deployed in managed EU/US cloud regions, and is built with Go.
Best for
Best for
Developers and teams needing simple, privacy-respecting analytics with self-hosting or EU/US cloud options
Use cases
- Track website or API usage without compromising visitor privacy
- Monitor AI agent interactions and performance metrics
- Self-host analytics for compliance with data residency requirements
Notes
HitKeep is a privacy-first analytics tool designed for both human users and AI agents. It can be self-hosted or deployed in managed EU/US cloud regions, and is built with Go.
68 stars on GitHub. Last updated 2026-07-04. Licensed MIT.
Use cases
- Track website or API usage without compromising visitor privacy
- Monitor AI agent interactions and performance metrics
- Self-host analytics for compliance with data residency requirements
Pros
- Privacy-first design reduces legal and ethical risks
- Self-hosting option gives full data control
- Lightweight Go implementation for efficient deployment
Cons
- Small community (68 stars) may mean limited support and plugins
- No built-in advanced features like funnel analysis or heatmaps
- Requires technical expertise to self-host and maintain
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Privacy-first design reduces legal and ethical risks
- Self-hosting option gives full data control
- Lightweight Go implementation for efficient deployment
Cons
- Small community (68 stars) may mean limited support and plugins
- No built-in advanced features like funnel analysis or heatmaps
- Requires technical expertise to self-host and maintain
Pairs with
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