AI agent skills for marketing analytics, attribution, campaign reporting, web analytics, and growth dashboards.
Marketing Analytics & Reporting tools are AI-powered software designed to help developers and teams tackle marketing analytics & reporting-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 25 quality-scored marketing analytics & reporting tools across languages including TypeScript, Python, Go.
In 2026, the AI agent ecosystem is maturing rapidly. Marketing Analytics & Reporting tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — openanalytics, google-analytics-mcp, traks — have earned an average of 8,032 GitHub stars, reflecting strong community validation. 21 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a marketing analytics & reporting tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is TypeScript; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with openanalytics — it ranks highest in both star count and quality score.
Open-source, privacy-first and cookieless web analytics with revenue attribution and an MCP server.
Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
Self-hosted, privacy-friendly web analytics that deploys into your own Cloudflare account in two minutes. Free forever, MIT.
100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self-hosted as one Go binary or managed in EU/US cloud.
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS monitoring, revenue (Stripe+RevenueCat), e-commerce (Shopify), marketing (Klaviyo/Meta/GA4), voice (Bland/ElevenLabs), APM (Datadog/NewRelic/OTEL), YOLO mode.
The AI command center for Google Ads, Analytics and Search Console.
Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556
Local-first LLM proxy that meters what every agent run costs and kills runaways before they drain your budget. Free, MIT.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Open-source web analytics with session replay, error tracking, Core Web Vitals and uptime monitoring in one tool. Cookieless, EU-hosted cloud or self-hosted.
AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent.
Auditing AI agents: a curated list of papers, tools, datasets, benchmarks, and standards covering reliability, monitoring, failure attribution, and decision records.
Local-first service attribution, stale development server detection, AI runtime health monitoring, and open-weight model capacity planning.
An opinionated Claude Code Plugin Pack. Skills, Agents, Hooks, MCPs. Examples: Email draft preview assistance & humanisation. Agents for Codex and Gemini "outsourcing". Skills for Google Analytics & Google Tag Manager, Shopify and much more
AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent.
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
One control plane for parallel React Native work on macOS: slimmed iOS simulators & Android emulators, live dashboard, leased Metro ports, shared native build cache, and Claude Code / Codex device attribution.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
AI Data Vault - A query engine for AI Agents to securely query data from any datasource
Platform dedicated to building an open foundation for applied Artificial Intelligence, designed for people seeking production-ready AI systems they can truly control, extend and deploy anywhere.
Real-time Claude Code usage monitor with predictions and warnings
UAParser.js: The Go-To User-Agent Tool for Teams That Build the Web. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
end to end app store screenshot creation using AI
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| openanalytics | ★ 593 | TypeScript | AGPL-3.0 | 65 |
| google-analytics-mcp | ★ 242 | Python | MIT | 68 |
| traks | ★ 150 | TypeScript | MIT | 65 |
| hitkeep | ★ 91 | Go | MIT | 61 |
| facebook-ads-library-mcp | ★ 307 | Python | MIT | 71 |
| facebook-ads-library-mcp | ★ 189 | Python | MIT | 51 |
| claude-ops | ★ 537 | Shell | MIT | 65 |
| adloop | ★ 276 | Python | MIT | 66 |
| 4D-ARE | ★ 182 | Python | MIT | 78 |
| proxy | ★ 204 | TypeScript | MIT | 65 |
| task-orchestrator | ★ 207 | Kotlin | MIT | 64 |
| betterlytics | ★ 177 | TypeScript | AGPL-3.0 | 62 |
| analytics-tracking-automation | ★ 141 | TypeScript | Apache-2.0 | 62 |
| awesome-auditable-ai | ★ 149 | Python | CC0-1.0 | 59 |
| vibe-service-guardian | ★ 112 | Python | MIT | 66 |
| wookstar-claude-plugins | ★ 88 | Python | — | 74 |
| event-tracking-skill | ★ 118 | TypeScript | Apache-2.0 | 56 |
| marketingskills | ★ 52.4k | JavaScript | MIT | 83 |
| simfleet | ★ 76 | TypeScript | MIT | 61 |
| posthog | ★ 40.1k | Python | — | 73 |
| mindsdb | ★ 39.1k | Python | — | 70 |
| minds-platform | ★ 39.2k | Python | — | 66 |
| Claude-Code-Usage-Monitor | ★ 8.7k | Python | MIT | 79 |
| ua-parser-js | ★ 10.2k | JavaScript | AGPL-3.0 | 70 |
| app-store-screenshots | ★ 7.1k | TypeScript | MIT | 73 |
The top marketing analytics & reporting tools in 2026 are openanalytics, google-analytics-mcp, traks. Agent Skills Hub ranks 25 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
openanalytics (593 stars) is the most adopted choice for general marketing analytics & reporting workflows, written in TypeScript. google-analytics-mcp (242 stars) is a strong alternative and uses Python instead. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with openanalytics — it has the deepest community and the most examples online.
Avoid pre-built marketing analytics & reporting tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
Marketing Analytics & Reporting focuses specifically on ai agent skills for marketing analytics, attribution, campaign reporting, web analytics, and growth dashboards. Data Visualization is a related but distinct category — see https://agentskillshub.top/best/data-visualization/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose marketing analytics & reporting when your primary goal is the specific task, and data visualization when the workflow is broader.
For most teams, yes. openanalytics has 593 stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most marketing analytics & reporting tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.
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:
