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Scout Intel MCP — The Google for AI Agents

@omniologynow-rgb

Repository

About Scout Intel MCP — The Google for AI Agents

The Google for AI agents — ask Claude to research any company, analyze competitors, track market trends, monitor breaking news, and investigate key people. 6 intelligence tools returning structured JSON with per-source confidence breakdowns and A–F data quality grades. Aggregates

#business-intelligence#company-research#competitive-analysis#market-trends#news-monitoring#due-diligence#web-scraping#ai-agent#model-context-protocol#claude#cursor#copilot#people-search#startup-analysis#mcp-server

Basic information

Category

Data & Analytics

Transports

stdio

Publisher

omniologynow-rgb

Submitted by

omniologynow-rgb

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "scout-mcp": {
      "command": "python",
      "args": [
        "-m",
        "scout_mcp.mcp_server"
      ],
      "env": {
        "NEWS_API_KEY": ""
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Scout Intel MCP?

Scout Intel MCP is a Model Context Protocol server that gives AI agents instant access to structured business intelligence. It aggregates five data sources (DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles) into Pydantic-validated JSON with per-source confidence breakdowns and A–F data quality grades. It is designed for developers and researchers using Claude, GPT, Cursor, or any MCP-compatible agent.

How to use Scout Intel MCP?

Install via pip install scout-intel-mcp, then configure your MCP host (e.g., Claude Desktop) with command python -m scout_mcp.mcp_server and set the NEWS_API_KEY environment variable (a free key from newsapi.org). Once connected, agents can call tools like scout_company, scout_competitors, scout_market_trends, scout_news, scout_topic, and scout_person (Pro).

Key features of Scout Intel MCP

  • Aggregates 5 data sources into validated JSON
  • Confidence scores and A–F data quality grades per source
  • 350+ regex patterns for competitor extraction
  • Real-time news aggregation with relevance ranking
  • People intelligence for background and social profiles (Pro)
  • Due diligence with cross-referenced data

Use cases of Scout Intel MCP

  • Research a company’s revenue, employees, funding, and tech stack
  • Identify top competitors and their differentiators
  • Discover emerging trends and growth signals in any market
  • Get real-time news about a company or topic with relevance ranking
  • Investigate a person’s background, roles, and public presence

FAQ from Scout Intel MCP

What data sources does Scout Intel MCP use?

It aggregates data from DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles.

Is a NewsAPI key required?

Yes. The free tier requires a free NewsAPI key from newsapi.org, set as the NEWS_API_KEY environment variable in your MCP configuration.

What are the rate limits?

Free tier: 50 calls per day with 5 tools. Pro ($29

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