mcpField
C
company-research

company-research

github.com/exa-labsMarketing & growth5.2k93 installsUpdated 2d ago
Repository

About company-research

company-research is a skill for researching companies with Exa search. It specifies query variation, result merging, category and filter choices, and a structured format for findings, sources, and uncertainties.

Key features

  1. 01Exa company discovery
  2. 02Query variation and deduplication
  3. 03Category-based search guidance
  4. 04Search filter guidance
  5. 05Structured results and sources

Use cases

  1. 01Finding companies in a market
  2. 02Researching a specific company
  3. 03Finding company news or public profiles

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/exa-labs/exa-mcp-server --skill company-research

After installing, type/company-researchin Claude Code to confirm it loaded.

Details

From the project README

Company Research

Tool Restriction (Critical)

ONLY use web_search_advanced_exa. Do NOT use web_search_exa or any other Exa tools.

Token Isolation (Critical)

Never run Exa searches in main context. Always spawn Task agents:

  • Agent runs Exa search internally
  • Agent processes results using LLM intelligence
  • Agent returns only distilled output (compact JSON or brief markdown)
  • Main context stays clean regardless of search volume

Dynamic Tuning

No hardcoded numResults. Tune to user intent:

  • User says "a few" → 10-20
  • User says "comprehensive" → 50-100
  • User specifies number → match it
  • Ambiguous? Ask: "How many companies would you like?"

Query Variation

Exa returns different results for different phrasings. For coverage:

  • Generate 2-3 query variations
  • Run in parallel
  • Merge and deduplicate

Categories

Use appropriate Exa category depending on what you need:

  • company → homepages, rich metadata (headcount, location, funding, revenue)
  • news → press coverage, announcements
  • people → LinkedIn profiles (public data)
  • No category (type: "auto") → general web results, deep dives, broader context

Start with category: "company" for discovery, then use other categories or no category for deeper research.

Category-Specific Filter Restrictions

When using category: "company", these parameters cause 400 errors:

  • includeDomains / excludeDomains
  • startPublishedDate / endPublishedDate
  • startCrawlDate / endCrawlDate

When searching without a category (or with news), domain and date filters work fine.

Universal restriction: includeText and excludeText only support single-item arrays. Multi-item arrays cause 400 errors across all categories.

LinkedIn

Public LinkedIn via Exa: category: "people", no other filters. Auth-required LinkedIn → use Claude in Chrome browser fallback.

Browser Fallback

Auto-fallback to Claude in Chrome when:

  • Exa returns insufficient results
  • Content is auth-gated
  • Dynamic pages need JavaScript

Examples

Discovery: find companies in a space
web_search_advanced_exa {
  "query": "AI infrastructure startups San Francisco",
  "category": "company",
  "numResults": 20,
  "type": "auto"
}
Deep dive: research a specific company
web_search_advanced_exa {
  "query": "Anthropic funding rounds valuation 2024",
  "type": "deep",
  "numResults": 10,
  "includeDomains": ["techcrunch.com", "crunchbase.com", "bloomberg.com"]
}
News coverage
web_search_advanced_exa {
  "query": "Anthropic AI safety",
  "category": "news",
  "numResults": 15,
  "startPublishedDate": "2024-01-01"
}
LinkedIn profiles
web_search_advanced_exa {
  "query": "VP Engineering AI infrastructure",
  "category": "people",
  "numResults": 20
}

Output Format

Return:

  1. Results (structured list; one company per row)
  2. Sources (URLs; 1-line relevance each)
  3. Notes (uncertainty/conflicts)

Comments

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