Review Intelligence MCP Server - Multi-Platform Review Aggregation API

What is MCP (Model Context Protocol)?

MCP is a protocol that allows AI assistants (like Claude) to interact with external tools and data sources. This MCP server connects to various APIs and services.

How to Use MCP Servers

1. Install the MCP server in Claude Desktop's config
2. The server provides tools the AI can use
3. Ask Claude to use the tools (e.g., "Search for local businesses...")

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MCP Server providing AI assistants with unified access to review aggregation, sentiment analysis, and response generation across multiple platforms. Scrape reviews from Google, Yelp, Facebook, TripAdvisor, Angi, BBB, Healthgrades, HomeAdvisor, G2, Capterra, and Trustpilot. Generate AI-powered review responses, analyze sentiment trends, and track reputation metrics. Perfect for AI agents managing business reputation. By John Rippy (https://www.linkedin.com/in/johnrippy/ | https://johnrippy.link/).

Features

• Model Context Protocol (MCP) compatible
• Works with Claude and other AI assistants
• Structured data output
• Multiple data sources

Quick Start

{
  "input": "your input here"
}

Demo Mode

Set demoMode: true to test with sample data (no charges). When you're ready for real results, set demoMode: false or omit it.

{
  "demoMode": true,
  ...
}

Input Parameters

Parameter	Type	Required	Description
See input schema

Output Format

{
  "data": [...]
}

Pricing

This actor uses pay-per-event billing: This actor uses pay-per-event pricing:

Event	Description	Price
actor-start	Base cost per run	$0.10
platform_scraped	Per platform scraped	$0.05
response_generated	Per AI response generated	$0.02
sentiment_analyzed	Per sentiment analysis	$0.03

Example costs:

• Scrape 3 platforms: $0.10 + (3 × $0.05) = $0.25
• Generate 5 responses: $0.10 + (5 × $0.02) = $0.20
• Full reputation report: $0.10 + $0.15 + $0.03 = $0.28

Use Cases

• Reputation Management - Monitor and respond to reviews across all platforms
• AI Review Assistants - Let Claude/GPT manage your review responses
• Competitive Intelligence - Compare your reviews with competitors
• Sentiment Tracking - Monitor sentiment trends over time
• Brand Monitoring - Track keyword mentions in customer feedback
• Agency Operations - Manage reviews for multiple client businesses

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Common Problems & Solutions

"Invalid API key" error

Cause: Your API key is wrong, expired, or doesn't have the right permissions. Fix: Double-check your API key. Make sure you copied it exactly without extra spaces.

"Rate limit exceeded" error

Cause: You've hit the API's rate limits. Fix: Wait a few minutes, then try again. Consider reducing the number of concurrent requests.

Empty or incomplete results

Cause: The target may have anti-scraping protection or the data doesn't exist. Fix:

• Check if the URL/search query is correct
• Try with different parameters
• Some sites may block automated access

Demo data showing instead of real results

Cause: demoMode is still set to true. Fix: Set demoMode: false and provide your API key(s).

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Built by John Rippy | Actor Arsenal