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Competitive Intelligence MCP Server

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Competitive Intelligence MCP Server

Competitive Intelligence MCP Server

9-in-1 MCP server for AI-powered competitor analysis. Use with Claude, GPT or any AI assistant that supports MCP tools. This MCP server bundles 9 competitive intelligence tools into one endpoint. Monitor competitors Analyze Facebook Ads Detect tech stack Aggregate B2B review Research companies

Pricing

Pay per event

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Developer

John Rippy

John Rippy

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18 days ago

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Competitive Intelligence MCP Server - 16 AI Tools for Competitor & Industry Research

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...")

16-in-1 MCP Server for comprehensive competitive and industry intelligence. Includes: competitor monitoring, Facebook Ads scraping, tech stack detection, B2B review platforms (G2, Capterra, Clutch, GoodFirms), Glassdoor employer reviews, Crunchbase funding data, consumer reviews (Trustpilot, BBB, Yelp), Quora insights, Reddit discussions, SEO news aggregation, and full industry research. Ask Claude 'research my competitors in the CRM space' or 'what are people saying about Company X on Reddit'.

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

ParameterTypeRequiredDescription
See input schema

Output Format

{
"data": [...]
}

Pricing

This actor uses pay-per-event billing:

  • data_point: $0.01 per result

Use Cases

  • Data collection
  • Research
  • Automation

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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