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

Related MCP server: AgentSkills MCP

Tools

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)

Date Filters (news, financials, funding)

Domain Filters (news)

Other Parameters

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