Marketing and SEO · MCP server
Persuasion Taxonomy: MCP server, setup and security
Persuasion Taxonomy is an open-source MCP server published on GitHub that lets an AI agent assess and revise marketing copy using persuasion techniques and diagnostics. Its repository has 1 stars and its last commit is from October 5, 2026 and it is licensed under MIT.
| Adoption (stars) | 0/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 30/30 |
What Persuasion Taxonomy does
According to its repository: “Plan, check and fix marketing copy against the nine questions every reader asks, with 766 persuasion techniques from real ads, copy diagnostics, headline and claim checks, and A/B test math. Free, no API key, hosted at https://taxonomy.coppica.com/mcp.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Persuasion Taxonomy is listed under Marketing and SEO, a category of 63 servers in the directory, where it ranks #44 by stars.
Topics declared by the repository: ab-testing, claude, conversion-optimization, copywriting, llm-tools, marketing.
Installing and connecting Persuasion Taxonomy
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx) - remote server (streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS, Windows, Linux.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Persuasion Taxonomy. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on October 4, 2026, the Otha-Labs/persuasion-mcp repository has 1 stars and 1 forks, with 0 open issues. It has more stars than 7% of the servers in the directory. It received changes this month. Version published in the registry: 1.0.3 (October 5, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Persuasion Taxonomy is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Few visible users
Alternatives
Learn more
Frequently asked questions
How do I install Persuasion Taxonomy?
Persuasion Taxonomy is distributed as npm package (Node.js, usually started with npx) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Otha-Labs/persuasion-mcp.
Is Persuasion Taxonomy free?
The code is published under the MIT licence and can be used free of charge.
Is Persuasion Taxonomy safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Persuasion Taxonomy?
In the same category: New Term Radar, AsoBeast, HeyLead — AI agent for LinkedIn outreach, and Meta ads MCP (mikusnuz). New Term Radar and AsoBeast score higher on our grid.
Related articles
- Build your own MCP server in 30 minutesOctober 24, 2026
- Automate your inbox with an AI agentOctober 18, 2026
- MCP, A2A, and tool calling: agent protocols explainedOctober 17, 2026
- Build an AI agent with n8n, without codingOctober 16, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score