Allows comprehensive company research on Figma including overview, products, financials, funding, leadership, culture, and more.
Allows comprehensive company research on HubSpot including overview, products, financials, funding, leadership, culture, and more.
Allows comprehensive company research on Notion including overview, products, financials, funding, leadership, culture, and more.
Allows comprehensive company research on OpenAI including overview, products, financials, funding, leadership, culture, and more.
Allows comprehensive company research on Stripe including overview, products, financials, funding, leadership, culture, and more.
Allows comprehensive company research on Vercel including overview, products, financials, funding, leadership, culture, and more.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Linkup Company Research MCP Give me an overview of Stripe"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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: MCP Research Server
Tool | Description | Search Depth |
| Company identity, location, size, industry, business model | Deep |
| Products, services, pricing, and use cases | Standard |
| Revenue streams, unit economics, go-to-market strategy | Standard |
| Ideal customer profile, segments, geographic markets | Standard |
| Revenue, profitability, key metrics (ARR, MRR, GMV, NRR) | Deep |
| Funding rounds, valuation, investors | Deep |
| CEO, C-suite, founders, board members, key hires | Standard |
| Glassdoor ratings, work policy, benefits, employer brand | Standard |
| Customers, case studies, testimonials | Deep |
| Strategic partners, integrations, ecosystem | Deep |
| Tech stack, patents, R&D, open source contributions | Deep |
| Competitors, market position, differentiators | Deep |
| Industry context, TAM/SAM/SOM, trends, regulations | Deep |
| Latest news, product launches, announcements | Standard |
| Growth plans, expansion, M&A history, IPO signals | Deep |
| Risk assessment across competitive, regulatory, legal dimensions | Deep |
| ESG initiatives, sustainability, reputation, controversies | Standard |
All tools support two output formats via the output_format parameter:
output_format="answer")Returns a comprehensive answer with up to 5 cited sources. Best for human consumption.
output_format="structured")Returns data in a defined JSON schema. Best for automation, CRM integration, and data pipelines.
Parameter | Type | Description |
| str | Required. The company to research |
| str |
|
| int | Maximum sources to consider (1-50, default: 10-15) |
Parameter | Type | Description |
| str | Start date in YYYY-MM-DD format |
| str | End date in YYYY-MM-DD format |
Parameter | Type | Description |
| str | Comma-separated domains to include (e.g., "techcrunch.com,reuters.com") |
| str | Comma-separated domains to exclude |
Parameter | Type | Tools | Description |
| bool | overview, competitive_landscape, leadership | Include relevant images |
| str | news | Filter by topic (e.g., "funding", "product launch") |
| str | products | Filter for a specific product |
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 mcp add linkup-company-research -- uvx linkup-company-research-mcpThen set your API key:
export LINKUP_API_KEY="your-api-key-here"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"
}
}
}
}Go to linkup.so
Sign up or log in
Navigate to API settings
Generate your API key
Once connected, you can ask your AI assistant things like:
"Give me an overview of Stripe"
"What's the latest news about OpenAI?"
"Who are Figma's main competitors?"
"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?"
"Get Stripe's company overview in structured format" (returns JSON)
"Research HubSpot's leadership team as JSON" (for CRM integration)
Researches the company's website, LinkedIn, and press coverage to provide detailed information about what they do, their industry, size, and business model.
Researches product pages, pricing, and documentation to provide detailed information about offerings, pricing models, and use cases.
Researches how the company makes money, their revenue streams, unit economics, and go-to-market strategy.
Researches the company's ideal customer profile, customer segments, geographic markets, and vertical focus.
Researches revenue, profitability, key business metrics (ARR, MRR, GMV, NRR), and financial health indicators.
Researches funding history, funding rounds, valuation, and investors through Crunchbase, PitchBook, press releases, and financial news.
Identifies CEO, C-suite executives, founders, board members, key hires, and notable departures.
Researches Glassdoor ratings, employer awards, culture attributes, work policy (remote/hybrid/in-office), and benefits.
Researches customer pages, case studies, press releases, and review sites to identify verified customers and their use cases.
Researches partner pages, integration marketplaces, press releases, and partner programs to map the company's ecosystem.
Analyzes engineering blogs, job postings, tech detection tools, patents, and open source contributions to understand technical capabilities.
Identifies competitors, market positioning, differentiators, and competitive advantages through research of industry reports, review sites, and company materials.
Researches industry classification, market size (TAM/SAM/SOM), industry growth rate, market trends, and regulatory environment.
Searches news sources, press releases, and publications for recent coverage including product launches, funding, partnerships, and M&A activity.
Researches growth strategy, expansion plans (geographic, product, vertical), M&A history, acquisition rumors, and IPO signals.
Researches competitive risks, regulatory risks, legal exposure, key person dependency, customer concentration, technology risks, and market risks.
Researches ESG initiatives, sustainability commitments, environmental programs, social initiatives, governance, controversies, and brand perception.
# 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-researchsrc/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 definitionsMIT
Get information about a company's business model.
Researches how the company makes money, their revenue streams, unit economics, and go-to-market strategy.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum number of sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Find known clients, customers, and case studies for a company.
Researches customer pages, case studies, press releases, and review sites to identify verified customers and their use cases.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get information about a company's culture and employer reputation.
Researches Glassdoor ratings, employer awards, culture attributes, work policy (remote/hybrid/in-office), and benefits.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get ESG and reputation information about a company.
Researches ESG initiatives, sustainability commitments, environmental programs, social initiatives, governance, controversies, and brand perception.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get financial information about a company.
Researches revenue, profitability, key business metrics (ARR, MRR, GMV, NRR), and financial health indicators.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON from_date: Start date for financial news (YYYY-MM-DD) to_date: End date for financial news (YYYY-MM-DD) max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), to_date, from_date, max_results, +1 more. Returns: result
Get funding and valuation information about a company.
Researches funding history, funding rounds, valuation, and investors through Crunchbase, PitchBook, press releases, and financial news.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON from_date: Start date for funding news (YYYY-MM-DD) to_date: End date for funding news (YYYY-MM-DD) max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), to_date, from_date, max_results, +1 more. Returns: result
Get information about a company's leadership team.
Identifies CEO, C-suite executives, founders, board members, key hires, and notable departures.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON include_images: Include executive headshots max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format, include_images. Returns: result
Get information about the market and industry context for a company.
Researches industry classification, market size (TAM/SAM/SOM), industry growth rate, market trends, and regulatory environment.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get the latest news and developments about a company.
Searches news sources, press releases, and publications for recent coverage including product launches, funding, partnerships, and M&A activity.
Args: company_name: The name of the company to research topic: Optional topic filter (e.g., 'funding', 'product launch', 'partnerships') output_format: "answer" for natural language with sources, "structured" for JSON from_date: Start date for news (YYYY-MM-DD format) to_date: End date for news (YYYY-MM-DD format) include_domains: Comma-separated domains to include (e.g., "techcrunch.com,reuters.com") exclude_domains: Comma-separated domains to exclude max_results: Maximum number of news items (1-50)
Inputs: company_name (required), topic, to_date, from_date, +4 more. Returns: result
Get a comprehensive overview of a company.
Researches the company's website, LinkedIn, and press coverage to provide detailed information about what they do, their industry, size, and business model.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON include_images: Include relevant company images (logos, office, products) max_results: Maximum number of sources to consider (1-50)
Inputs: company_name (required), max_results, output_format, include_images. Returns: result
Find partnerships, integrations, and strategic alliances for a company.
Researches partner pages, integration marketplaces, press releases, and partner programs to map the company's ecosystem.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get information about a company's products and services.
Researches the company's product pages, pricing, and documentation to provide detailed information about their offerings, pricing models, and use cases.
Args: company_name: The name of the company to research product_name: Optional filter for a specific product output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum number of sources to consider (1-50)
Inputs: company_name (required), max_results, product_name, output_format. Returns: result
Assess risk factors for a company.
Researches competitive risks, regulatory risks, legal exposure, key person dependency, customer concentration, technology risks, and market risks.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get information about a company's strategic direction.
Researches growth strategy, expansion plans (geographic, product, vertical), M&A history, acquisition rumors, and IPO signals.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Get information about a company's target market.
Researches the company's ideal customer profile, customer segments, geographic markets, and vertical focus.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum number of sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Research a company's technology stack, patents, and technical approach.
Analyzes engineering blogs, job postings, tech detection tools, patents, and open source contributions to understand technical capabilities.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format. Returns: result
Analyze a company's competitive position in their market.
Identifies competitors, market positioning, differentiators, and competitive advantages through research of industry reports, review sites, and company materials.
Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON include_images: Include competitor logos and comparison visuals max_results: Maximum sources to consider (1-50)
Inputs: company_name (required), max_results, output_format, include_images. Returns: result
Comprehensive company research using parallel tool calls.
Use this tool for vague queries like "research [company]" or "tell me about [company]". Calls 3 specialized tools in parallel (overview, funding, competitors) and combines the results into a complete company profile.
This is faster than Claude calling 5-6 tools sequentially for general research.
Args: company_name: The name of the company to research max_results: Maximum number of sources per tool (1-50)
Inputs: company_name (required), max_results. Returns: result
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 18 tools
Each tool targets a distinct aspect of company research (e.g., business model, culture, ESG, financials, funding, leadership, etc.), with no overlapping purposes. The descriptions clearly differentiate the scope of each tool.
Most tools follow the company_<noun> pattern (e.g., company_overview, company_financials), but 'competitive_landscape' and 'research_company' deviate slightly, breaking the full consistency. Still, names are descriptive and easy to understand.
18 tools is slightly above the typical well-scoped range (3-15), but the number is justified by the comprehensive coverage of company research domains. No tool feels redundant.
The tool set covers most key aspects of company research (financials, funding, leadership, products, market, competitors, etc.). A minor gap might be historical background, but the 'research_company' tool combines multiple tools to provide a broad overview.
11 company intelligence tools — financials, tech stack, competitors, patents, jobs, news. Free.
Global B2B intelligence for AI agents: 35M+ companies, 1.6M sanctions, KYB pack. 78 tools.
Company research for AI agents: contacts, tech stack, LEI, EU legal entities, SEC financials, jobs
Korean company facts in English for AI agents: ~830 KOSPI-listed companies (DART profiles, KRW financials, recent filings) and ~110,000 corporate public procurement suppliers (12-month KONEPS contract awards), plus live National Tax Service business status checks. 4 tools, keyless, read-only.
