Content Hooks MCP

Content Hooks MCP

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

Category
Visit Server

README

Content Hooks MCP

Short-form content mechanics for AI agents: hooks, script structures, retention, CTAs. The first 2 seconds decide the next 28.

Disclaimer. Structured content-mechanics frameworks from documented short-form practice. Platforms change; specificity and payoff don't.

Why This Exists

AI agents drafting short-form content default to the same failure: greeting openers, hype adjectives, three ideas per video, and four CTAs. This MCP gives the agent the mechanics that survive contact with the feed — and auditors that fail drafts before they cost a post.

The house rule everything here enforces: receipts over hype. A number you can screenshot beats any adjective.

7 Tools

Tool What it returns
get_hook_mechanics 10 hook styles as fill-in structures with why each works + failure mode
audit_hook PASS/NEEDS WORK on a hook line: 2-second window, greetings, hype vs receipts, style detection
get_script_structure Beat-by-beat timing for talking_head, voiceover_broll, tutorial, storytime, ugc_ad
audit_script Full script audit: hook, spoken length, single-CTA law, zero-numbers check
get_retention_mechanics Open loops, payoff scheduling, pattern breaks, specificity ladders, loop endings
get_cta_rules CTA rules by goal (follow, comment seed, lead magnet, product, save/share)
get_full_pack Everything in one payload for agent context

Install

npx content-hooks-mcp        # once published to npm
# or from source:
git clone https://github.com/closermethod/content-hooks-mcp && cd content-hooks-mcp && npm i && npm run build && node dist/main.js

Claude Desktop config:

{ "mcpServers": { "content-hooks": { "command": "npx", "args": ["content-hooks-mcp"] } } }

The Family

Get seen (this one) → get positioned (personal-brand-mcp) → get the reply (outbound-engine-mcp) → price the deal (creator-deals-mcp) → own the audience (newsletter-growth-mcp). Full catalog: MCP Hub

Built By

Elisabeth Hitz — 10+ years enterprise sales (Deel, Criteo, HBO), reverse-engineered for creators.

License: MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured