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 24 quality-scored paid ads & ppc tools across languages including Jupyter Notebook, Shell, Python.
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, markifact-mcp, claude-ads — have earned an average of 3,184 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.
MCP server for Google Ads, Meta Ads, GA4, TikTok Ads, and LinkedIn Ads. Manage 300+ ad operations from Claude, ChatGPT, Gemini, Cursor, or any AI client. Human-in-the-loop on every write.
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
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.
Collection of free PPC AI skills, ready for use with any AI harness, but built for Claude Code originally.
120 marketing skills + 8 commands for Claude Code & AI agents across 7 disciplines — SEO/GEO, influencer, paid ads, email, product launch, organic social & brand narrative — on one shared contract, with 8 auditor gates: CORE-EEAT · CITE · STAR · ROAS · SEND · RAMP · ECHO · TALE.
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 from the terminal.
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
```MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
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 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.
The AI command center for Google Ads, Analytics and Search Console.
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.
Meta Ads Analyzer skill + MCP server for Claude Code. Breakdown Effect, Learning Phase, and expert-level campaign diagnosis.
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
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.
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。
AI-powered mobile automation agent — describe what you want in plain English, AppClaw reads the screen, reasons, and acts. LLM-agnostic, open-source, zero telemetry.
AI-powered mobile automation agent — describe what you want in plain English, AppClaw reads the screen, reasons, and acts. LLM-agnostic, open-source, zero telemetry.
Multi-agent system for generating Meta/Instagram ad creatives using Claude SDK and Nano Banana MCP
Marketing skills for AI agents — paid ads, social media, SEO, competitor research, creative generation, email, analytics, and more. Powered by Hyper MCP.
Amazon Ads MCP - Model Context Protocol server for Amazon Advertising API
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| ads-mcp | ★ 70 | Jupyter Notebook | — | 64 |
| markifact-mcp | ★ 57 | Shell | MIT | 62 |
| claude-ads | ★ 7.0k | Python | MIT | 89 |
| toprank | ★ 2.6k | Python | MIT | 69 |
| meta-ads-mcp | ★ 1.1k | Python | — | 73 |
| ppc-ai-skills | ★ 54 | Python | MIT | 63 |
| aaron-marketing-skills | ★ 2.5k | Python | Apache-2.0 | 72 |
| mcp-google-ads | ★ 445 | Python | MIT | 52 |
| Mole | ★ 60.0k | Shell | GPL-3.0 | 73 |
| marketing-skills | ★ 588 | — | MIT | 63 |
| facebook-ads-library-mcp | ★ 257 | Python | MIT | 71 |
| ads-skills | ★ 210 | Python | — | 77 |
| google_ads_mcp | ★ 226 | Python | Apache-2.0 | 69 |
| adloop | ★ 222 | Python | MIT | 65 |
| ai-marketing-claude | ★ 203 | Python | MIT | 63 |
| meta-ads-analyzer | ★ 236 | Shell | MIT | 54 |
| facebook-ads-library-mcp | ★ 189 | Python | MIT | 51 |
| creative-director-skill | ★ 116 | Python | CC-BY-4.0 | 71 |
| amazon-skills | ★ 116 | Python | MIT | 65 |
| AppClaw | ★ 91 | TypeScript | Apache-2.0 | 61 |
| AppClaw | ★ 94 | TypeScript | Apache-2.0 | 55 |
| creative-ad-agent | ★ 89 | TypeScript | MIT | 57 |
| marketing-skills | ★ 66 | Python | MIT | 63 |
| amazon_ads_mcp | ★ 59 | Python | MIT | 62 |
The top paid ads & ppc tools in 2026 are ads-mcp, markifact-mcp, claude-ads. Agent Skills Hub ranks 24 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 (70 stars) is the most adopted choice for general paid ads & ppc workflows, written in Jupyter Notebook. markifact-mcp (57 stars) is a strong alternative and uses Shell instead. 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 70 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.