← Use cases · Coding agents & IDE assistants
AI agent tools for marketing automation
Short answer: Our top pick for marketing automation: claude-seo, with the highest AgentPick Score (78/100) among tools tagged "marketing-automation". Runners-up: claude-ads (71) and line-harness-oss (67). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | claude-seo | Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agent… | 78/100 | ★ 19k | MIT | 4 Oct 2026 |
| #2 | claude-ads | Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Re… | 71/100 | ★ 10k | MIT | 14 Oct 2026 |
| #3 | line-harness-oss | L Harness — self-hosted LINE Official Account CRM: step messaging, broadcasts, forms and reservations, with MCP and TypeScript SDK. By Shudesu (野田修一). | 67/100 | ★ 602 | MIT | 12 Oct 2026 |
| #4 | ChatbotX | Open-source ManyChat alternative, built for AI. Omnichannel marketing across WhatsApp, TikTok, Facebook, Instagram, Telegram, Zalo, Email, API, and We… | 64/100 | ★ 904 | See repo | 14 Oct 2026 |
| #5 | ALwrity | ALwrity - AI-first Digital Marketing Platform. AI Content Strategy and Planning, Multimodal content generation, Publishing, Analytics, AI SEO, Connect… | 44/100 | ★ 1.2k | See repo | 5 Oct 2026 |
| #6 | facebook-ads-library-mcp | MCP Server for Facebook ADs Library - Get instant answers from FB's ad library | 40/100 | ★ 313 | MIT | 12 Aug 2026 |
| #7 | growth-engineer | Open-source catalog of go-to-market tools and workflows, written as markdown files any agent can run. Includes a read-only MCP server. | 37/100 | ★ 248 | MIT | 12 Oct 2026 |
| #8 | ai-marketing-claude | AI Marketing Suite for Claude Code. 15 marketing skills with parallel subagents — audit any website, generate copy, email sequences, ad campaigns, con… | 28/100 | ★ 2.8k | MIT | 2 Mar 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Check which models and providers it supports.
- Prefer tools that show diffs and ask before running commands.
- Look for recent commits: coding agents change fast.
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