Scout Intel MCP — The Google for AI Agents
@omniologynow-rgb
关于 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
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"scout-mcp": {
"command": "python",
"args": [
"-m",
"scout_mcp.mcp_server"
],
"env": {
"NEWS_API_KEY": ""
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
数据与分析 分类下的更多 MCP 服务器
PubMed MCP Server
JackKuo666🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
Bright Data MCP
luminati-ioA powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
ArXiv MCP Server
blazickjpA Model Context Protocol server for searching and analyzing arXiv papers
dbt MCP Server
dbt-labsA MCP (Model Context Protocol) server for interacting with dbt.
HubSpot MCP Server
baryhuangA Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.
评论