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Otha-Labs/persuasion-mcp

Otha-Labs/persuasion-mcp

Free MCP server that helps any AI plan and check marketing copy against the nine questions every reader asks. 766 persuasion techniques from real ads, A/B test math. No API key.
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Config template (adjust for your client)
claude mcp add persuasion-mcp -- npx -y persuasion-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 ★ · Otha-Labs/persuasion-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-10 · last seen 2026-10-16 · seen 30× · listed by 6 sources
Score
score 603 · 1 ★ · 6 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Otha-Labs/persuasion-mcp;first catalogued 2026-10-10;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Persuasion Taxonomy MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Most AI-written marketing copy fails for the same reason. The model answers every question the reader has with the most expected move, and the most expected move is exactly what readers have learned to skim past.
This server gives your AI a better model of the reader. Everyone who reads an ad, a page or an email is silently asking nine questions:
1. Why am I even reading this?
2. Is this written for me?
3. How bad is my problem, really?
4. Am I thinking about this correctly?
5. Can I trust the claim?
6. What does my life look like after?
7. What's stopping me from saying yes?
8. Why should I act right now?
9. Do I like and trust who's speaking?
Copy persuades when it answers the questions its goal needs, answers them truthfully, and the answers fit together. The server helps your AI plan copy around those questions, check a draft against them before anyone sees it, and reach past the obvious move for one of 766 persuasion techniques documented from real advertising. It also does the math behind A/B tests.
It's free and needs no API key. It makes no AI calls of its own, either: your model does the thinking, and the server only serves the catalog and runs plain code.
Connect it
The hosted server lives at https://taxonomy.coppica.com/mcp. Any client that accepts a remote MCP server (Streamable HTTP) can use that URL as it is.
**Claude Code**
**Claude Code plugin.** This adds the server along with a short skill that tells Claude when to reach for it.
**Claude, ChatGPT and other apps with custom connectors.** Add a custom connector and paste in the URL above. There's nothing to sign in to.
**Cursor** (.cursor/mcp.json)
**VS Code** (.vscode/mcp.json)
**Run it on your own machine** (any client that launches local servers)
What your AI can do with it
You don't need to name the tools. Ask for what you want and a capable model reaches for the right one, and in testing it did so in all 16 realistic requests we tried, without being told the server existed.
| When someone asks... | The tool that answers |
|---|---|
| "Write me a landing page / ad / email / sales letter" | plan_marketing_copy plans it around the nine questions before a word is written |
| "Is this good?", "Roast this", "What's wrong with this copy?" | diagnose_marketing_copy shows which questions the copy answers, which it skips, and what reads as machine-written |
| "My ad gets clicks but no sales" | explain_why_not_converting works back from the symptom to the question going unanswered |
| "Give me other ways to build trust", "Make this less generic" | find_persuasion_techniques searches the catalog for a less expected move |
| "What is this technique called?", "How does it work?" | get_persuasion_technique returns the full entry, with real examples and when it backfires |
| "Which of these headlines is best?" | check_headlines says what each line is betting on and which two to test |
| "Is this claim believable?", "Is this button any good?" | check_marketing_claims catches vague superlatives, unproven promises and stock buttons |
| "How long should I run this test?" | plan_ab_test sizes the test and frames it so the result teaches you something |
Source
awesome · https://github.com/Otha-Labs/persuasion-mcp
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