by shivamanupadi · MCP Server · ★ 108
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Self-hosted, privacy-friendly web analytics that deploys into your own Cloudflare account in two minutes. Free forever, MIT.
| Stars | 108 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.0884037812099/100 |
| Last Updated | 2026-09-11 |
| Created | 2026-02-18 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~13k |
These tools work well together with traks for enhanced workflows:
Looking for a traks alternative? If you're comparing traks with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the
🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to rem
Agent-first AI SEO (AEO/GEO) operating platform
100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self
An MCP server to query any Postgres database in natural language.
🚀 Universal SDK for building next-gen MCP servers
Explore other popular mcp server tools:
traks is Self-hosted, privacy-friendly web analytics that deploys into your own Cloudflare account in two minutes. Free forever, MIT.. It is categorized as a MCP Server with 108 GitHub stars.
traks is primarily written in TypeScript. It covers topics such as analytics, cloudflare, cloudflare-workers.
You can find installation instructions and usage details in the traks GitHub repository at github.com/shivamanupadi/traks. The project has 108 stars and 13 forks, indicating an active community.
traks is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to traks on Agent Skills Hub include vnsh, mcp-memory, canonry. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: