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HitKeep

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Read-only MCP server for aggregate HitKeep analytics and official documentation, including traffic, events, goals, funnels, ecommerce, Search Console, and AI vi

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About

Read-only MCP server for aggregate HitKeep analytics and official documentation, including traffic, events, goals, funnels, ecommerce, Search Console, and AI visibility reporting.

README

Privacy-first web analytics with conversion reporting, AI visibility, and optional Ask AI, self-hosted or in EU/US cloud.

Continuous Integration Latest Release License Go Version Angular Version Docker Pulls Documentation OpenSSF Best Practices HitKeep MCP server

HitKeep is open source web analytics for teams that want useful product reporting, conversion analytics, and AI-era search visibility without running PostgreSQL, Redis, ClickHouse, or a separate queue. It ships as a single Go binary with an embedded Angular dashboard, DuckDB storage, and in-process NSQ queueing.

Website · Live Demo · Docs · Cloud · AI Performance · API · Releases

HitKeep analytics dashboard with traffic overview, geographic breakdown, goals, funnels, and UTM attribution

Why HitKeep

  • Low-ops self-hosting: one binary, one data directory, embedded DuckDB and NSQ — no external services to run
  • Useful reports: multi-site Overview, top pages, landing and exit pages, events, goals, funnels, ecommerce, UTM attribution, QR campaigns, Web Vitals, email reports, and Google Search Console aggregates
  • Privacy defaults: cookie-less tracking, Do Not Track support, and focused data collection
  • AI visibility: server-side crawler fetch analytics, AI-referred visits, on-site chatbot outcomes, and correlation reports
  • Ask AI: optional dashboard assistant that answers site-scoped aggregate questions with citations, small charts, and safe dashboard actions
  • Team controls: passkeys, TOTP, site and team permissions, share links, audit logs, scoped API clients, and a read-only MCP analytics server
  • Deployment choice: run it yourself or use managed cloud in the EU or US

Quick Start

Docker

Save this as compose.yml:

services:
  hitkeep:
    image: pascalebeier/hitkeep:latest
    restart: unless-stopped
    ports:
      - "8080:8080"
    volumes:
      - hitkeep_data:/var/lib/hitkeep/data
    environment:
      # any flag can also be set as an environment variable
      HITKEEP_JWT_SECRET: replace-this-with-a-long-random-string
    command:
      - "-public-url=http://localhost:8080"

volumes:
  hitkeep_data: {}

Then start it:

docker compose up -d

Open http://localhost:8080 and create your first account. More compose examples — including Caddy, nginx, and Traefik setups — live in examples/.

Binary

Download the latest release for your platform (hitkeep-linux-amd64 or hitkeep-linux-arm64) and run it:

curl -LO https://github.com/PascaleBeier/hitkeep/releases/latest/download/hitkeep-linux-amd64
chmod +x hitkeep-linux-amd64
export HITKEEP_JWT_SECRET="$(openssl rand -hex 32)" # keep this stable across restarts
./hitkeep-linux-amd64 -public-url="http://localhost:8080"

Open http://localhost:8080 and create your first account.

Going to production

For reverse proxies, SMTP, systemd, Kubernetes, S3 archiving, and every configuration flag, use the docs instead of this README:

Track Your Site

Create a site in the dashboard, then add the tracker to your pages:

<script async src="https://your-hitkeep-instance.com/hk.js"></script>

Send a custom event:

<script>
  window.hk = window.hk || {};
  window.hk.event?.("signup", { plan: "pro", source: "landing-page" });
</script>

Teams can also serve the tracker from their own verified domains, for example https://analytics.example.com/hk.js, via Team Settings → Tracking domains. DNS verification, TLS options, and ready-made Caddy, nginx, Traefik, and Helm configurations are covered in the custom tracking domains guide and examples/.

More tracking guides:

Product Tour

See six product screenshots

Dashboard

HitKeep analytics dashboard with traffic overview, geographic breakdown, goals, funnels, and UTM attribution

Ecommerce

HitKeep ecommerce analytics with revenue KPIs, chart, top products, and revenue sources

Search Console

HitKeep Search Console drilldown with clicks, impressions, CTR, position, trends, top queries, pages, countries, and devices

AI Visibility

HitKeep AI visibility analytics with fetch KPIs, assistant filters, and fetch volume chart

Ask AI

HitKeep Ask AI answer with completed analytics tool chips, citations, a table, and a safe dashboard action

MCP Access

HitKeep MCP integration overview for read-only analytics access

Documentation

The maintained reference lives on hitkeep.com.

Cloud

If you want the same product without running it yourself, start here:

Development

The repository-owned developer CLI provides reproducible setup, isolated worktrees, native or container-backed development, cloud-parity builds, and the same QA contract used by automation:

./hk setup
./hk dev --seed

Use the URLs printed by hk; ports and state are isolated per Git worktree. Add --runtime container for container-backed development or --variant cloud for local managed-cloud parity.

Run ./hk help for current commands, ./hk doctor for prerequisites, and ./hk qa pr before review. The Makefile contains compatibility aliases only.

Contributor docs and local development guides:

License

Distributed under the MIT License. See LICENSE.

from github.com/PascaleBeier/hitkeep

Installing HitKeep

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/PascaleBeier/hitkeep

FAQ

Is HitKeep MCP free?

Yes, HitKeep MCP is free — one-click install via Unyly at no cost.

Does HitKeep need an API key?

No, HitKeep runs without API keys or environment variables.

Is HitKeep hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install HitKeep in Claude Desktop, Claude Code or Cursor?

Open HitKeep on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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