Vet Founders Before You Invest Using MCP.
Founder identity verified, track record pulled, red flags surfaced , vet the person behind the pitch before you wire the capital
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Here is the thing about founder vetting: the pitch deck is a marketing document, not a diligence document. Your AI agent starts with Lusha , enter the founder's name and LinkedIn URL.
Lusha returns: verified email, phone, current company, previous roles, tenure at each company, education. Maria Chen , CEO of Acme Payments.
Previous: VP Engineering at Stripe (4 years), Staff Engineer at Square (3 years), co-founder of PayBridge (2 years). Now the agent queries Crunchbase for PayBridge , the 'exit' she mentioned in the pitch.
Crunchbase shows: PayBridge was founded in 2018, raised $2.3M seed from YC. Acquired by Stripe in 2020 , acquisition price not disclosed, but Crunchbase tags it as 'acqui-hire.' That tells you: the 'exit' was a talent acquisition, not a financial windfall.
That is not disqualifying , Stripe hired the team, which signals engineering quality. But it is different from 'I built and sold a company for $50M.' The agent also checks her co-founder, David Park , Crunchbase shows 2 previous startups, both raised venture capital, one is still operating, one shut down in 2022 (no acquisition).
The agent compiles everything into a Google Sheet: founder name, verified contacts, employment timeline, previous companies, funding raised, outcomes (exit/operating/shut down), and any discrepancies between the pitch and the data.
You walk into the partner meeting with facts.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Lusha, Crunchbase and Google Sheets MCP servers so your AI agent enriches founder profiles through Lusha (verified contact data, professional history, company associations), cross-references their startup track record on Crunchbase (previous companies, exits, funding history), and compiles a founder due diligence report in Google Sheets. The pitch deck says 'Serial entrepreneur with 2 exits.' But was the first company acqui-hired for $500K or sold for $50M? Did the second company shut down after 18 months? Your AI agent answers these questions in 3 minutes with verified data , not with the founder's version of the story.
Lusha
triggerEnriches founder profiles with verified contact and professional data
find_person find_company find_by_linkedin search_contacts Crunchbase
actionPulls founder track record , previous companies, exits, funding history
get_person_details search_people get_organization_details list_funding_rounds Google Sheets
actionCompiles the founder due diligence report
append_sheet_values update_sheet_values create_spreadsheet get_spreadsheet Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Lusha, Crunchbase & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
VC associates performing founder background checks before scheduling partner meetings who need verified employment history and track record data
Angel investors evaluating solo founders who want to verify claims about previous exits, roles, and industry experience before committing capital
Fund managers conducting reference checks who need verified contact details for a founder's former colleagues, managers, and co-founders
Accelerator selection committees reviewing 200+ applications who need rapid founder vetting to shortlist credible candidates
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Lusha, Crunchbase and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
Is founder vetting legal?
This workflow uses publicly available professional data (Crunchbase) and business contact enrichment (Lusha). It does not access private records, credit reports, or criminal background databases. For formal background checks, engage a licensed provider.
Can I vet founders without their LinkedIn URL?
Yes. Lusha can search by name and company. A LinkedIn URL improves match accuracy, especially for common names. Crunchbase can search by name directly.
Is founder contact data secure?
Lusha provides business contact data that professionals have made available through professional networks. Your vetting reports live in your Google Sheet. Vinkius does not store any personal or professional data.
Can I vet the entire founding team at once?
Yes. Ask the agent to vet all founders and key executives. The agent creates a profile for each person and cross-references relationships between team members (overlapping employers, shared investors, co-founded previous companies).
MCP Servers for Founder Background Checks
Founder claims verified, previous companies checked, team history validated , know who you are admitting before the program starts
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Build Data-Backed Investment Theses Using MCP
Funding trends mapped, public market multiples benchmarked, sector thesis documented , build your investment thesis on data, not slides
Build Market Landscape Maps Using MCP Servers
Every player mapped, every round tracked, every segment visualized , walk into the IC meeting with the market map, not a guess
MCP Servers for Accelerator Alumni Tracking
Alumni funding rounds tracked, traction signals monitored, portfolio performance measured , prove your accelerator's value with real numbers
MCP Servers for Competitive Intelligence
Competitors mapped, hiring signals tracked, market moves surfaced , know what is happening around your portfolio company before the founder tells you
MCP servers used in this workflow
Lusha
Lusha connects your AI agent directly to verified B2B contact data. Use it to find emails, direct phone numbers, and company details for any prospect without ever opening the Lusha platform. It lets you build targeted lead lists or enrich CRM records instantly via tool calls.
Crunchbase
Crunchbase MCP Server gives your AI agent deep business intelligence. Search companies, track funding rounds (Seed to Series D+), and analyze M&A history. Get full profiles, map investment networks, and research executives, all from a natural language prompt. Essential for due diligence and market analysis.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.