WizerAPI Review Intelligence

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "wizerapi-review-intelligence": {
      "type": "http",
      "url": "https://mcp.wizerapi.com/reviews"
    }
  }
}

5 tools

• analyze_review

  Analyze ONE customer review and get structured JSON: sentiment (score -1..1, label, confidence), dominant emotion, topics, detected language, and optionally a suggested reply (set options.suggest_reply, pick options.reply_tone: professional | friendly | apologetic | concise)…

• extract_themes

  Cluster a SET of reviews into recurring themes, each with a label, frequency, theme sentiment, and example quotes. Input: 1-1,000 review strings, each up to 2,000 chars; optional max_themes (1-50, default 8). Use this ONE call instead of looping analyze_review when you need…

• summarize_reviews

  Produce an executive digest of a review SET: headline, highlights, lowlights, and recommended actions. Input: 1-1,000 review strings, each up to 2,000 chars; optional audience (default "product_team") to slant the writeup. Use for leadership-ready takeaways; use extract_themes…

• draft_reply

  Draft a customer-facing reply to ONE review in a chosen tone (professional | friendly | apologetic | concise, default professional). Input: review text up to 10,000 chars, optional 0-5 rating for context. Returns the reply text and tone. METERED: costs 1 AU + 1 AU per 4,000…

• check_usage

  Check the current billing period usage for YOUR WizerAPI organization: plan, included AU, used AU, remaining AU, overage so far, and the per-minute rate limit. Costs 0 AU and is never blocked by the session budget. Call this BEFORE large metered jobs (theme extraction over many…

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