marketing-skills — MCP Server by hyperfx-ai

by hyperfx-ai · MCP Server · ★ 66

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About marketing-skills

Marketing Skills for AI Agents Agent Skills for marketing — paid ads, social media, SEO, AI search, competitor research, ad creative generation, email lifecycle, analytics, operations, and more. These skills run on the Hyper MCP, which gives your agent 100+ direct integrations and built-in marketing tools through one endpoint — a backpack of tools that travels with your agent across Claude Code, Cursor, Codex, OpenCode, GitHub Copilot, Gemini CLI, and 50+ other agents that support the Agent Skills spec. What is a skill? A skill is a markdown file () with the workflows, decision rules, and example tool calls your agent needs to run specific marketing functions end-to-end. The tools themselves come from the Hyper MCP. The skill teaches the agent how to think like an expert and ship correct work. The Hyper MCP Create, customize, and connect your MCP at app.hyperfx.ai/mcp. Choose which integrations and built-in tools to include, and configure approval rules action-by-action across every one of them.

agent-skillsai-agentclaudeclaude-codeclaude-skillscodexcursorgoogle-adshermesmarketing

Quick Facts

Stars66
Forks12
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71.6263521118073/100
Open Issues2
Last Updated2026-07-25
Created2026-04-27
Platformsclaude-code, codex, mcp, python
Est. Tokens~16k

Compatible Skills

These tools work well together with marketing-skills for enhanced workflows:

  • ai-marketing-claude-code-skills — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • social-ai-team — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (58%)
  • AbsolutelySkilled — semantic(0.33)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

marketing-skills alternative? Top 6 similar tools

Looking for a marketing-skills alternative? If you're comparing marketing-skills 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.

  • ads-mcp by amekala · ⭐ 70

    MCP server for managing ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. 100+ tools for

  • agent-skills by jdrhyne · ⭐ 238

    A collection of AI agent skills for Clawdbot, Claude Code, Codex

  • AbsolutelySkilled by AbsolutelySkilled · ⭐ 182

    Awesome Skills from Around the World

  • maestro by ReinaMacCredy · ⭐ 208

    Agent harness for codebases. Gives Claude Code, Codex, and CI a shared task system, verdict ledger, and state

  • deterministic-agent-control-protocol by elliot35 · ⭐ 145

    Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT

  • socialclaw by BlockRunAI · ⭐ 130

    Grow your X/Twitter to 5M+ views in 3 months — trend detection, audience insights, engagement targets, KOL dis

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Frequently Asked Questions

What is marketing-skills?

marketing-skills is Marketing skills for AI agents — paid ads, social media, SEO, competitor research, creative generation, email, analytics, and more. Powered by Hyper MCP.. It is categorized as a MCP Server with 66 GitHub stars.

What programming language is marketing-skills written in?

marketing-skills is primarily written in Python. It covers topics such as agent-skills, ai-agent, claude.

How do I install or use marketing-skills?

You can find installation instructions and usage details in the marketing-skills GitHub repository at github.com/hyperfx-ai/marketing-skills. The project has 66 stars and 12 forks, indicating an active community.

What license does marketing-skills use?

marketing-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to marketing-skills?

The top alternatives to marketing-skills on Agent Skills Hub include ads-mcp, agent-skills, AbsolutelySkilled. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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