Linkup Company Research MCP

An MCP server that provides comprehensive company research tools powered by Linkup. Connect it to Claude, Cursor, or any MCP-compatible client to get instant company intelligence.

Features

• 17 research tools covering all aspects of company intelligence
• Dual output formats: Natural language answers with sources, or structured JSON for automation
• Full parameter control: Date filters, domain filters, image support, and result limits
• Optimized prompts: Following Linkup's best practices for accurate, comprehensive research

Tools

Tool	Description	Search Depth
company_overview	Company identity, location, size, industry, business model	Deep
company_products	Products, services, pricing, and use cases	Standard
company_business_model	Revenue streams, unit economics, go-to-market strategy	Standard
company_target_market	Ideal customer profile, segments, geographic markets	Standard
company_financials	Revenue, profitability, key metrics (ARR, MRR, GMV, NRR)	Deep
company_funding	Funding rounds, valuation, investors	Deep
company_leadership	CEO, C-suite, founders, board members, key hires	Standard
company_culture	Glassdoor ratings, work policy, benefits, employer brand	Standard
company_clients	Customers, case studies, testimonials	Deep
company_partnerships	Strategic partners, integrations, ecosystem	Deep
company_technology	Tech stack, patents, R&D, open source contributions	Deep
competitive_landscape	Competitors, market position, differentiators	Deep
company_market	Industry context, TAM/SAM/SOM, trends, regulations	Deep
company_news	Latest news, product launches, announcements	Standard
company_strategy	Growth plans, expansion, M&A history, IPO signals	Deep
company_risks	Risk assessment across competitive, regulatory, legal dimensions	Deep
company_esg	ESG initiatives, sustainability, reputation, controversies	Standard

Output Formats

All tools support two output formats via the output_format parameter:

Natural Language (output_format="answer")

Returns a comprehensive answer with up to 5 cited sources. Best for human consumption.

Structured JSON (output_format="structured")

Returns data in a defined JSON schema. Best for automation, CRM integration, and data pipelines.

Parameters

Common Parameters (all tools)

Parameter	Type	Description
company_name	str	Required. The company to research
output_format	str	"answer" (default) or "structured"
max_results	int	Maximum sources to consider (1-50, default: 10-15)

Date Filters (news, financials, funding)

Parameter	Type	Description
from_date	str	Start date in YYYY-MM-DD format
to_date	str	End date in YYYY-MM-DD format

Domain Filters (news)

Parameter	Type	Description
include_domains	str	Comma-separated domains to include (e.g., "techcrunch.com,reuters.com")
exclude_domains	str	Comma-separated domains to exclude

Other Parameters

Parameter	Type	Tools	Description
include_images	bool	overview, competitive_landscape, leadership	Include relevant images
topic	str	news	Filter by topic (e.g., "funding", "product launch")
product_name	str	products	Filter for a specific product

Installation

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "linkup-company-research": {
      "command": "uvx",
      "args": ["linkup-company-research-mcp"],
      "env": {
        "LINKUP_API_KEY": "your-api-key-here"
      }
    }
  }
}

Claude Code

claude mcp add linkup-company-research -- uvx linkup-company-research-mcp

Then set your API key:

export LINKUP_API_KEY="your-api-key-here"

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "linkup-company-research": {
      "command": "uvx",
      "args": ["linkup-company-research-mcp"],
      "env": {
        "LINKUP_API_KEY": "your-api-key-here"
      }
    }
  }
}

Get Your API Key

1. Go to linkup.so
2. Sign up or log in
3. Navigate to API settings
4. Generate your API key

Example Usage

Once connected, you can ask your AI assistant things like:

Basic Research

• "Give me an overview of Stripe"
• "What's the latest news about OpenAI?"
• "Who are Figma's main competitors?"

With Parameters

• "Get Anthropic's funding news from the last 6 months" (date filter)
• "Find Notion's customers and case studies"
• "What tech stack does Vercel use?"

Structured Output for Automation

• "Get Stripe's company overview in structured format" (returns JSON)
• "Research HubSpot's leadership team as JSON" (for CRM integration)

Tool Details

company_overview

Researches the company's website, LinkedIn, and press coverage to provide detailed information about what they do, their industry, size, and business model.

company_products

Researches product pages, pricing, and documentation to provide detailed information about offerings, pricing models, and use cases.

company_business_model

Researches how the company makes money, their revenue streams, unit economics, and go-to-market strategy.

company_target_market

Researches the company's ideal customer profile, customer segments, geographic markets, and vertical focus.

company_financials

Researches revenue, profitability, key business metrics (ARR, MRR, GMV, NRR), and financial health indicators.

company_funding

Researches funding history, funding rounds, valuation, and investors through Crunchbase, PitchBook, press releases, and financial news.

company_leadership

Identifies CEO, C-suite executives, founders, board members, key hires, and notable departures.

company_culture

Researches Glassdoor ratings, employer awards, culture attributes, work policy (remote/hybrid/in-office), and benefits.

company_clients

Researches customer pages, case studies, press releases, and review sites to identify verified customers and their use cases.

company_partnerships

Researches partner pages, integration marketplaces, press releases, and partner programs to map the company's ecosystem.

company_technology

Analyzes engineering blogs, job postings, tech detection tools, patents, and open source contributions to understand technical capabilities.

competitive_landscape

Identifies competitors, market positioning, differentiators, and competitive advantages through research of industry reports, review sites, and company materials.

company_market

Researches industry classification, market size (TAM/SAM/SOM), industry growth rate, market trends, and regulatory environment.

company_news

Searches news sources, press releases, and publications for recent coverage including product launches, funding, partnerships, and M&A activity.

company_strategy

Researches growth strategy, expansion plans (geographic, product, vertical), M&A history, acquisition rumors, and IPO signals.

company_risks

Researches competitive risks, regulatory risks, legal exposure, key person dependency, customer concentration, technology risks, and market risks.

company_esg

Researches ESG initiatives, sustainability commitments, environmental programs, social initiatives, governance, controversies, and brand perception.

Development

# Clone and install locally
git clone https://github.com/LinkupPlatform/linkup-company-research-mcp
cd linkup-company-research-mcp
pip install -e .

# Run the server directly
LINKUP_API_KEY="your-key" linkup-company-research

Project Structure

src/linkup_company_research/
├── __init__.py
├── server.py      # Main MCP server with 17 tools
├── schemas.py     # JSON schemas for structuredOutput
├── prompts.py     # Optimized prompt templates
└── types.py       # Type definitions

License

MIT