Scout Intel MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DB_NAME | No | MongoDB database name (auto-configured) | |
| MONGO_URL | No | MongoDB connection string (for REST API server, auto-configured) | |
| CORS_ORIGINS | No | Allowed CORS origins (defaults to '*') | |
| NEWS_API_KEY | Yes | NewsAPI.org API key (required for news data) | |
| SCOUT_API_KEY | No | Master API key (auto-assigned 'scale' tier, optional) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| scout_companyB | Get structured intelligence on any company. Returns: industry, funding, tech stack, competitors, recent news, key people. |
| scout_marketC | Research any market or industry. Returns: market size, growth rate, CAGR, key players, trends, risks. |
| scout_competitorsC | Find and analyze competitors for any company or product. Returns: list of competitors with positioning, pricing, strengths, weaknesses. |
| scout_trendsB | Track trends and sentiment on any topic. Returns: sentiment score, trending direction, key developments, related topics. |
| scout_productC | Get intelligence on any product. Returns: category, pricing, ratings, features, alternatives, recent updates. |
| scout_personB | Get intelligence on a public figure. PRO tier only. Returns: current role, background, social profiles, recent activity, achievements. |
| scout_batchB | Run multiple scout queries in parallel. Perfect for competitive landscape analysis and bulk research. Each query is: {"tool": "company|market|competitors|trends|product", "params": {...}} |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose targeting a specific intelligence domain: companies, competitors, markets, people, products, trends, or batch operations. The descriptions explicitly differentiate them, with no overlap in functionality. An agent can easily select the right tool based on the query type.
All tools follow a consistent 'scout_' prefix with a descriptive noun (e.g., scout_company, scout_market, scout_trends). This verb_noun pattern is uniform across all seven tools, making them predictable and easy to understand. The naming convention is perfectly aligned with the server's purpose.
With 7 tools, this server is well-scoped for competitive intelligence research. Each tool covers a distinct aspect of the domain (e.g., company, market, product analysis), and the batch tool adds efficiency. The count is neither too sparse nor bloated, fitting the purpose effectively.
The tool set provides comprehensive coverage for competitive intelligence, including entities (companies, products, people), contexts (markets, trends, competitors), and operations (batch queries). There are no obvious gaps; agents can perform end-to-end research workflows without dead ends.