Content Hooks MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Content Hooks MCP audit this hook: 'Stop scrolling if you want to save money'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: hooklayer
7 Tools
Tool | What it returns |
| 10 hook styles as fill-in structures with why each works + failure mode |
| PASS/NEEDS WORK on a hook line: 2-second window, greetings, hype vs receipts, style detection |
| Beat-by-beat timing for talking_head, voiceover_broll, tutorial, storytime, ugc_ad |
| Full script audit: hook, spoken length, single-CTA law, zero-numbers check |
| Open loops, payoff scheduling, pattern breaks, specificity ladders, loop endings |
| CTA rules by goal (follow, comment seed, lead magnet, product, save/share) |
| 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.jsClaude 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
Available Tools
7 toolsaudit_hookA
Audit a hook line: length vs the 2-second window, greeting openers, hype words vs receipts, specificity check, and detected style. Returns PASS/NEEDS WORK with named issues.
Inputs: hook (required).
audit_scriptA
Audit a full short-form script: hook quality, spoken length, single-CTA rule, hype vs receipts, zero-numbers check. Returns verdict with the hook sub-audit and format beats for comparison.
Inputs: script (required), format.
get_cta_rulesA
CTA rules by goal: follow, comment_seed, lead_magnet, product, save_share. Each with the rule, placement, and the one-CTA-per-video law.
Inputs: goal.
get_full_packA
The complete content-mechanics library in one payload: hook styles, script formats, retention mechanics, CTA playbook. For full agent context.
Inputs: no named parameters.
get_hook_mechanicsA
Get the 10 hook styles as fill-in structures with why each works, its failure mode, and what content type it fits. Styles: contrarian, specific_number, curiosity_gap, confession, stop_doing, pattern_interrupt, story_open, question_hook, future_pace, bold_claim. Optionally filter to one style.
Inputs: style.
get_retention_mechanicsA
The 6 retention mechanics (open loops, payoff scheduling, pattern breaks, direct address, specificity ladder, loop endings) with how to apply each and its failure risk.
Inputs: no named parameters.
get_script_structureA
Get the beat-by-beat script structure with timings for a format: talking_head, voiceover_broll, tutorial, storytime, ugc_ad. Each includes rules that keep the format working.
Inputs: format (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 7 tools
Each tool targets a distinct aspect of content creation: hooks, script structure, retention, CTA rules, and audits. The full_pack tool provides a combined reference but does not overlap functionally, as it aggregates all reference materials for convenience.
Tool names follow a clear verb_noun pattern: get_ for retrieving reference materials and audit_ for analyzing content. The pattern is consistent and predictable, making it easy to infer tool purpose from the name.
Seven tools cover the core content-mechanics domain without bloat. Each tool serves a distinct educational or analytical function, and the count is well within the ideal range for a focused server.
The tool surface covers all major pillars of short-form content mechanics: hooks, script structures, retention, CTA rules, and audits. The full_pack provides a comprehensive reference, leaving no obvious gaps for the stated purpose.
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