Audience Reaction Engine (by Zinnawa) MCP Server

Audience Reaction Engine lets Claude run your product launch, price change, campaign message, announcement, crisis statement or personal post past a panel of AI personas before it goes public. You get a GO / CAUTION / NO-GO verdict, every persona's reaction and objection, the main risks and opportunities, concrete rewrite suggestions, and a link to a full visual report. Compare two versions head-to-head, or interview a single persona to understand what would change their mind. Consumer pack (16 personas) and B2B pack (12 enterprise stakeholders). Works in any language.

Honest limits: this is a directional simulation, not a prediction. In two pre-registered external backtests on 440 real campaigns, the panel did not beat chance at predicting real-world outcomes. Use it to catch blind spots and sharpen a message, not to forecast sales. Regulated categories (gambling, crypto, health claims, weight loss, trading, cosmetic surgery, tobacco) are refused at intake.

Publisher claimed. 4 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under productivity, sales-and-marketing. Published by zinnawa.com.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod has not dialled Audience Reaction Engine (by Zinnawa) yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Tools

Its publisher lists 4 tools. Pod has not verified these against the live server yet.

compare_versions
interview_persona
list_personas
test_audience_reaction

Connect

A hosted endpoint at https://zinnawa.com/mcp/product, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "audience-reaction-engine-by-zinnawa": {
      "type": "http",
      "url": "https://zinnawa.com/mcp/product"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Audience Reaction Engine (by Zinnawa) yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

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For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find Audience Reaction Engine (by Zinnawa), alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "Audience Reaction Engine (by Zinnawa)",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=Audience Reaction Engine (by Zinnawa)' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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