What data sources does Scout Intel MCP use?
It aggregates data from DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles.
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Basic information
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
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": ""
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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).
It aggregates data from DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles.
Yes. The free tier requires a free NewsAPI key from newsapi.org, set as the `NEWS_API_KEY` environment variable in your MCP configuration.
Free tier: 50 calls per day with 5 tools. Pro ($29

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