# Persuasion Taxonomy Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Persuasion Taxonomy

Plan and diagnose marketing copy against nine reader questions with techniques from real advertising.

- Record: https://musedirectory.ai/connector/persuasion-taxonomy
- Category: Marketing & Ads
- Developer: Coppica (https://taxonomy.coppica.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 163ms, checked 2026-10-29T09:45:59Z
- Endpoint: https://taxonomy.coppica.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-28T12:41:22Z)
- Source: Found in the official MCP Registry (com.coppica/persuasion-taxonomy) https://registry.modelcontextprotocol.io/v0/servers?search=com.coppica%2Fpersuasion-taxonomy

Helps marketers write and test ads, landing pages, emails and sales copy by checking which of nine reader questions the copy answers, finding persuasion techniques from a database of 766 real advertising examples, and diagnosing why copy isn't converting.

Example request: "Help me plan an email to get customers to upgrade their subscription by checking which reader questions I need to answer."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Persuasion Taxonomy to help me. It is a free service with an MCP server at https://taxonomy.coppica.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- plan_marketing_copy: Plan any piece of marketing copy before you write it, whether it's an ad, a landing page, a sales page or sales letter, an email, a subject line, a social post, a headline or a video script. Give it the goal, the reader and the offer, and it tells you which of the nine questions 
- diagnose_marketing_copy: Review, critique or roast any piece of marketing copy, whether it's an ad, a landing page, an email, a sales page, a social post or a script, and find out why it might not persuade. Before you call it, read the copy and label each line with the one reader question it mainly answe
- explain_why_not_converting: Work out why an ad, a landing page, an email or a whole funnel isn't converting. Start from what you can see. Maybe people don't click (a low CTR), or they click and bounce, or they read and don't buy. Maybe they abandon the checkout or the form, the leads never buy, customers bu
- find_persuasion_techniques: Search the Persuasion Taxonomy, 766 named persuasion techniques documented from real advertising and organized by the nine reader questions they answer. Describe what you want the copy to do, like build trust without testimonials, create urgency without fake scarcity, handle a pr
- get_persuasion_technique: Look up one persuasion technique by its ID (like PT-PRV-10000), its slug or its name. You get the full definition, why it works, when it lands and when it backfires, real examples from advertising, related and opposite techniques, and a link you can cite. Use it before you apply 
- check_headlines: Check headlines, email subject lines, ad openings, video hooks, social post openings and first lines, and compare options against each other. For each line it tells you whether the line does its job in that spot, meaning which of the nine reader questions it answers, and whether 
- check_marketing_claims: Check whether marketing claims and calls to action are specific enough to believe. It catches the vague superlative, like "the best" or "#1", that readers discount on sight. It catches promises with no proof behind them and results with no mechanism, and it flags the generic butt
- plan_ab_test: Plan an A/B test for marketing copy. Give it the current conversion rate, the smallest lift worth detecting and the daily traffic, and it tells you how many visitors each version needs and how many days to run. It also frames the test as two different answers to the same reader q
- read_ab_test_result: Read the result of an A/B test. You get each version's conversion rate and lift, whether the difference is statistically significant, the confidence interval, and the chance each version really beats the original. It also warns you about the things that make a test result lie. Th

Screening checks:
- MCP handshake: pass (Answered in 548ms)
- Domain against threat feeds (Cloudflare security DNS): pass (taxonomy.coppica.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (9 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 223 days ago)
- AI review of purpose and tool behavior: pass (No concerns)