Scout Intel Mcp

finance MCP Server

The Google for AI agents — give Claude the power to research any company, analyze competitors, and track market trends. 6 tools, 5+ data sources, confidence-scored JSON. pip install scout-intel-mcp

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financefinancegcp
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Discovered via list:awesome-mcp-servers-punkpeye and last synced 3mo ago.

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46
Tools
0
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Prompts
Standard I/O
Transport

Available Tools (46)

scout_market

Market research: size, CAGR, key players, trends, growth drivers, risks

1

`scout_company`

NewsAPI

2x

company_or_product

string

company

string

Tools

Features

Server

uvicorn

Parameter

Type

3

`scout_competitors`

1x

Supplementary

Required

Default

FastAPI

HTTP endpoints for testing

query

string

Grade

Confidence

GET

Cache hit/miss statistics

DB_NAME

Auto

Knowledge

Wikipedia API

scout_person

Public figure research: role, background, achievements, social profiles

Endpoint

Method

MONGO_URL

Auto

News

NewsAPI.org

Source

API Key?

depth

string

CORS_ORIGINS

No

Validation

Pydantic 2.x

scout_trends

Trend tracking: sentiment analysis, key developments, trending direction, related topics

name

string

topic

string

NEWS_API_KEY

Yes

httpx

Async web scraping

No

Free

5

`scout_product`

domain

string

timeframe

string

SCOUT_API_KEY

No

Search

DuckDuckGo (ddgs)

Tool

What It Does

Wikipedia

3x

Tier

Price

2x

First-party data, most current

POST

Clear all cached responses

max

integer

Detection

+----------------+ +----------------+ ``` ### Exponential Backoff (DuckDuckGo) DuckDuckGo's free API has rate limits. Scout MCP handles this with adaptive backoff: ``` Success : interval = 2s (base) Failure 1: interval = 4s Failure 2: interval = 8s Failure 3: interval = 16s Failure 4: interval = 32s Failure 5: interval = 48s (cap) Next success: interval resets to 2s ``` Each call also retries once before giving up. Monitor backoff status at `GET /api/health`. ### Competitor Extraction Engine The competitor extraction uses 6 regex pattern categories with 350+ stop words: 1. **VS patterns** — "X vs Y" matching 2. **Comma/and-separated lists** — "alternatives include X, Y, and Z" 3. **Numbered/bulleted lists** — "1. Asana 2. Monday 3. ClickUp" 4. **Header patterns** — "Asana -- project management tool" 5. **Contextual patterns** — "like X" or "such as X" 6. **Title-cased names** — capitalized product names near competitor context Multi-word validators reject: article titles, verb-prefixed names, pronoun-prefixed names, role-suffixed names, probable person names, mega-corp parent names, and platform names. --- ## Configuration ### Environment Variables

Component

Technology

Caching

In-memory dict (24h TTL)

Yes

Free tier