Provides structured business intelligence and market research via 6 tools aggregating multiple data sources with confidence scoring.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Scout Intel MCP.
Scout MCP
Business & Market Intelligence for AI Agents
Google for AI agents β instead of web pages, it returns clean, structured JSON that agents can reason over.
Scout MCP gives any AI agent instant access to structured business intelligence, market research, and competitive analysis. It aggregates data from DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles into Pydantic-validated JSON responses with per-source confidence breakdowns and data quality grades.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
Add to Cursor Settings > MCP:
Add to .vscode/mcp.json:
| # | Tool | What It Does | Tier |
|---|---|---|---|
| 1 | scout_company | Structured intel on any company: industry, funding, tech stack, competitors, news, key people | Free |
| 2 | scout_market | Market research: size, CAGR, key players, trends, growth drivers, risks | Free |
| 3 | scout_competitors | Competitor analysis: positioning, pricing, strengths, weaknesses, differentiators | Free |
| 4 | scout_trends | Trend tracking: sentiment analysis, key developments, trending direction, related topics | Free |
| 5 | scout_product | Product intelligence: pricing, ratings, features, alternatives, recent updates | Free |
| 6 | scout_person | Public figure research: role, background, achievements, social profiles | Pro |
Every response includes a data_quality_grade β a letter grade that lets agents instantly assess intelligence reliability:
| Grade | Confidence | Meaning |
|---|---|---|
| A+ | 90%+ | Exceptional β multiple high-quality sources confirmed |
| A | 80-90% | High β strong multi-source corroboration |
| B | 65-80% | Good β solid data from key sources |
| C | 45-65% | Fair β limited sources, gaps likely |
| D | 25-45% | Low β sparse data, treat with caution |
| F | <25% | Insufficient β minimal data available |
Beyond the letter grade, every response includes a confidence_breakdown dict showing per-source reliability:
Different sources carry different weights in the overall confidence calculation:
| Source | Weight | Why |
|---|---|---|
| Wikipedia | 3x | Curated, structured, authoritative |
| NewsAPI | 2x | Fresh, professional journalism |
| Company Website | 2x | First-party data, most current |
| DuckDuckGo Search | 1x | Broad but variable quality |
| Competitor Extraction | 1x | Derived analysis |
| Social Profiles | 1x | Supplementary |
Pass your API key via the X-Api-Key header:
No key = free tier (50 requests/day).
| Endpoint | Method | Description |
|---|---|---|
/api/ | GET | Service info + list of tools |
/api/health | GET | Health check + DuckDuckGo backoff status |
/api/tools | GET | All tools with params, tiers, and grade descriptions |
/api/cache/stats | GET | Cache hit/miss statistics |
/api/cache/clear | POST | Clear all cached responses |
POST /api/scout/companyResearch any company.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Company name (e.g., "Stripe", "OpenAI") |
domain | string | No | Company domain (e.g., "stripe.com"). Auto-detected if omitted. |
Response fields: name, domain, description, industry, founded, headquarters, employee_range, funding, tech_stack, social_profiles, recent_news, top_competitors, key_people, confidence, confidence_breakdown, data_quality_grade, data_freshness, sources_used, sources_failed
POST /api/scout/marketResearch any market or industry.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | Market to research (e.g., "AI SaaS", "electric vehicles") |
depth | string | No | "summary" (default) or "detailed" |
Response fields: market_name, query, depth, market_size, market_size_projections, cagr, key_players, trends, growth_drivers, risks, source_links, confidence, confidence_breakdown, data_quality_grade
POST /api/scout/competitorsFind and analyze competitors.
| Parameter | Type | Required | Description |
|---|---|---|---|
company_or_product | string | Yes | Company or product name (e.g., "Notion") |
max | integer | No | Max competitors to return (default 10) |
Response fields: target, competitors (array of {name, domain, positioning, pricing, strengths, weaknesses, key_differentiator}), market_positioning_summary, confidence, confidence_breakdown, data_quality_grade
POST /api/scout/trendsTrack trends and sentiment.
| Parameter | Type | Required | Description |
|---|---|---|---|
topic | string | Yes | Topic to track (e.g., "generative AI") |
timeframe | string | No | "1d", "7d" (default), "30d", "1y" |
Response fields: topic, timeframe, sentiment ({score, label}), trending_direction, key_developments, related_topics, social_buzz, confidence, confidence_breakdown, data_quality_grade
POST /api/scout/productGet intelligence on any product.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Product name (e.g., "Slack", "Vercel") |
Response fields: name, category, description, pricing, ratings, features, ideal_for, alternatives, recent_updates, confidence, confidence_breakdown, data_quality_grade
POST /api/scout/person (PRO)Research a public figure. Requires Pro tier or higher.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Person's name (e.g., "Sam Altman") |
company | string | No | Company context (e.g., "OpenAI") |
Factual signals from GitHub, npm, and our automated checks β not a rating.
No reviews yet β be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/omniologynow-rgb-scout-intel-mcp)<a href="https://allmcps.com/mcp/omniologynow-rgb-scout-intel-mcp"><img src="https://allmcps.com/api/badge/omniologynow-rgb-scout-intel-mcp?style=directory" alt="Scout Intel MCP on AllMCPs" /></a>