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.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Lusha, Crunchbase and Google Sheets Connectors 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 Connector
Convert any internal API into a Connector. 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 each 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 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer 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 all platforms.
Contextual Reasoning
Each 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 Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors 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 Connector Orchestration
Which Connectors 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 Connectors 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).
Connectors for Founder Background Checks
Founder claims verified, previous companies checked, team history validated , know who you are admitting before the program starts
Benchmark Seed Valuations Using Connectors
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
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 Connectors
Every player mapped, every round tracked, every segment visualized , walk into the IC meeting with the market map, not a guess
Connectors for Accelerator Alumni Tracking
Alumni funding rounds tracked, traction signals monitored, portfolio performance measured , prove your accelerator's value with real numbers
Connectors for Competitive Intelligence
Competitors mapped, hiring signals tracked, market moves surfaced , know what is happening around your portfolio company before the founder tells you
Connectors used in this workflow
Lusha
Lusha gives your AI agent direct access to verified B2B contact data. It lets you find direct dials, verified emails, and firmographic details for prospects or companies without ever leaving your chat interface. Use it to build lead lists and enrich CRM records instantly. This Connector removes the need for manual searching and helps your team focus on making connections rather than hunting for phone numbers.
Crunchbase
Crunchbase MCP for AI Agents. Connect your agent to the Crunchbase API to perform deep business intelligence, track startup funding, and map investment networks. It lets your AI client pull real-time data on companies, founders, and VC activity without you having to browse the website manually.
Google Sheets
Google Sheets MCP lets you read, write, and manage spreadsheet data through your AI agent. Stop wasting time on manual data entry or complex formulas. Just tell your agent to pull specific ranges, add new rows, or create entire new sheets on the fly. It handles the tedious work of keeping your data organized so you can focus on making decisions.