AI agent skills for paid advertising — Google Ads, Meta/Facebook ads, ad copy generation, campaign optimization, and PPC management.
Paid Ads & PPC tools are AI-powered software designed to help developers and teams tackle paid ads & ppc-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 paid ads & ppc tools across languages including Jupyter Notebook, Python, TypeScript.
In 2026, the AI agent ecosystem is maturing rapidly. Paid Ads & PPC tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — ads-mcp, google-ads-meta-ads-mcp, google-meta-ads-ga4-mcp — have earned an average of 3,882 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 paid ads & ppc 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 Jupyter Notebook; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with ads-mcp — it ranks highest in both star count and quality score.
MCP server for managing ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. 100+ tools for campaign creation, performance analysis, keyword research, and budget optimization. Works with ChatGPT, Claude, Gemini CLI, Cursor, Codex, and Windsurf.
Google Ads MCP server + Meta Ads MCP (Facebook Ads MCP) + GA4 + Search Console in one hosted remote MCP for Claude, ChatGPT, Cursor & n8n: 250+ tools, OAuth login, no API keys, approval-gated writes, free. By Ryze AI.
Google Ads MCP server + Meta Ads MCP (Facebook Ads MCP) + GA4 + Search Console in one hosted remote MCP for Claude, ChatGPT, Cursor & n8n: 250+ tools, OAuth login, no API keys, approval-gated writes, free. By Ryze AI.
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.
```bash
curl -fsSL https://raw.githubusercontent.com/AgriciDaniel/claude-ads/main/install.sh | bash
```Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads
Claude skills for marketing: 49 free marketing skills for Claude Code and claude.ai (Google Ads, Meta Ads, SEO, AI visibility) + the Ryze Google Ads MCP / Meta Ads MCP: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
Meta Ads (Facebook/Instagram) MCP server for Claude, ChatGPT, Perplexity & Cursor — the Meta node of Pipeboard’s 5-platform family (+ Google, TikTok, Snap, Reddit). Hosted remote MCP, badged Meta Business Partner, free plan — no self-hosting required.
MCP server for Meta Marketing API v25.0 — 135 tools for Facebook & Instagram ad campaign management
Collection of free PPC AI skills, ready for use with any AI harness, but built for Claude Code originally.
An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude, Cursor or Windsurf.
🐹 Clean, uninstall, analyze, optimize, and monitor your Mac. Free open-source CLI, plus a native Mac app.
AI Marketing Suite for Claude Code. 15 marketing skills with parallel subagents — audit any website, generate copy, email sequences, ad campaigns, content calendars, competitive intelligence, and client-ready PDF reports.
Agent Skills for Marketing — SEO, Social, Influencer & More. 160+ open-source skills for SEO, content, 40+ page types, paid ads, channels, and strategies. Add project context; get tailored, production-ready output. Cursor, Claude Code, OpenClaw — no lock-in.
```bash
# Install all skills
npx skills add kostja94/marketing-skills
# Install specific skills
npx skills add kostja94/marketing-skills --skill robots-txt title-tag meta-description pricing-page-generator
# List available
npx skills add kostja94/marketing-skills --list
```杜蕾斯式文案与海报 Skill for Claude Code —— 双层语义方法论 + 8 个文案公式 + 从 260 张原始海报拆解的视觉系统 + AI 出图/代码排版管线
E-commerce product image generator skill — 39 scenario templates, GPT-Image-2/2.5 (Flare/Sunburst) model routing, campaign consistency lock, platform compliance. 电商做图 Skill：39 场景模板×双模型路由×套图一致性×平台合规。
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
Meta Ads Analyzer skill + MCP server for Claude Code. Breakdown Effect, Learning Phase, and expert-level campaign diagnosis.
Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, Google Adsense and GA4, designed for AI agents and automation.
Ivan Falco's Ads Skills for Claude Code - LinkedIn, Meta, and Google Ads. 40+ strategy files, 39 API scripts. Built by the Head of Growth at ColdIQ.
The AI command center for Google Ads, Analytics and Search Console.
The Google Ads MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models (LLMs), such as Gemini, to interact directly with the Google Ads API.
World-class creative director in a skill. Methodology-driven ideation (SIT, TRIZ, Lateral Thinking, bisociation) + a Cannes Lions evaluation engine, powered by a library of 571 legendary award-winning cases.
Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations.
Open-source Agent Skills for Amazon sellers: product research, feature validation, listing audits, ads search-term analysis, and CVR diagnostics. 亚马逊跨境电商 Skills。
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| ads-mcp | ★ 97 | Jupyter Notebook | MIT | 65 |
| google-ads-meta-ads-mcp | ★ 2.5k | — | MIT | 73 |
| google-meta-ads-ga4-mcp | ★ 2.1k | — | MIT | 74 |
| claude-ads | ★ 9.7k | Python | MIT | 83 |
| toprank | ★ 2.6k | Python | MIT | 69 |
| marketing-skills | ★ 1.7k | — | — | 78 |
| meta-ads-mcp | ★ 1.3k | Python | — | 73 |
| meta-ads-mcp | ★ 71 | TypeScript | MIT | 65 |
| ppc-ai-skills | ★ 64 | Python | MIT | 71 |
| mcp-google-ads | ★ 710 | Python | MIT | 52 |
| Mole | ★ 69.2k | Shell | GPL-3.0 | 73 |
| ai-marketing-claude | ★ 2.7k | Python | MIT | 63 |
| marketing-skills | ★ 992 | — | MIT | 71 |
| xiaoma-durex-copywriter | ★ 574 | Python | — | 65 |
| gpt-image2-ecommerce | ★ 380 | Shell | MIT | 68 |
| facebook-ads-library-mcp | ★ 307 | Python | MIT | 71 |
| meta-ads-analyzer | ★ 435 | Shell | MIT | 54 |
| search-console-mcp | ★ 286 | TypeScript | MIT | 69 |
| ads-skills | ★ 227 | Python | — | 77 |
| adloop | ★ 276 | Python | MIT | 66 |
| google_ads_mcp | ★ 226 | Python | Apache-2.0 | 69 |
| creative-director-skill | ★ 203 | Python | CC-BY-4.0 | 72 |
| sealeap-amazon-skills | ★ 196 | Python | MIT | 65 |
| amazon-skills | ★ 156 | Python | MIT | 65 |
| facebook-ads-library-mcp | ★ 189 | Python | MIT | 51 |
The top paid ads & ppc tools in 2026 are ads-mcp, google-ads-meta-ads-mcp, google-meta-ads-ga4-mcp. 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.
ads-mcp (97 stars) is the most adopted choice for general paid ads & ppc workflows, written in Jupyter Notebook. google-ads-meta-ads-mcp (2.5k stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with ads-mcp — it has the deepest community and the most examples online.
Avoid pre-built paid ads & ppc 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.
Paid Ads & PPC focuses specifically on ai agent skills for paid advertising — google ads, meta/facebook ads, ad copy generation, campaign optimization, and ppc management. SEO Tools is a related but distinct category — see https://agentskillshub.top/best/seo-tools/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose paid ads & ppc when your primary goal is the specific task, and seo tools when the workflow is broader.
For most teams, yes. ads-mcp has 97 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 paid ads & ppc 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: