MCP Servers for Founder Background Checks.
Founder claims verified, previous companies checked, team history validated , know who you are admitting before the program starts
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
The selection committee is reviewing 200 applications. Each application includes founder bios , written by the founders themselves. The committee has 3 weeks.
They cannot manually verify every claim in every bio. But they also cannot afford to admit a founder whose track record is fabricated.
Your AI agent runs background verification on every applicant founder. Lusha returns the professional profile: current employer, job history, tenure at each company, and any previous companies founded.
Crunchbase returns the startup history: previous companies founded, funding raised, investors involved, outcomes (acquisition, IPO, shutdown, or still operating). The agent compares: what the founder claims vs what the data shows.
Founder A claims: 'Built and sold a fintech startup to a major bank.' Lusha shows: worked at FinPayCo from 2019-2022 as 'Head of Product.' Crunchbase shows: FinPayCo raised $3M Seed, acquired by RegionalBank for an undisclosed amount, team of 8.
Verification: the founder was an employee (Head of Product), not the founder. The company was small and the exit was likely an acqui-hire.
Not a 'built and sold' narrative. Flag for committee review. Founder B claims: 'Former Google engineer, ML expertise.' Lusha shows: worked at Google from 2018-2023 as 'Software Engineer L5' in the Search team.
Verification: confirmed. 5 years at Google, L5 is a mid-senior IC role. ML claim needs clarification , Search team may or may not involve ML.
The agent compiles verified profiles in Airtable: each founder has a verification score (Fully Verified, Partially Verified, Discrepancy Found) with specific notes on what matched and what did not.
The committee reads verified profiles, not founder-written bios.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Lusha, Crunchbase and Airtable MCP servers so your AI agent verifies founder backgrounds through Lusha (employment history, current role, company associations, professional profile), cross-references startup claims through Crunchbase (did that previous company actually raise funding? Was there really an acquisition? Is the co-founder story accurate?), and compiles verified founder profiles in an Airtable admissions database. The application says 'Serial entrepreneur with 2 successful exits.' Lusha says the founder worked at a 15-person startup that was acqui-hired for the team , no meaningful financial outcome. Crunchbase says the 'exit' raised $500K total and was acquired for an undisclosed amount (which usually means less than the money raised). That is not a lie , but it is not what '2 successful exits' implies. Selection committees need verified facts, not founder-curated narratives. This workflow reads the professional record before you commit a batch slot.
Lusha
triggerVerifies founder employment history, current role and professional associations
find_person find_company search_contacts find_by_linkedin Crunchbase
actionCross-references startup claims , previous companies, funding, exits, co-founders
search_people get_person_details search_organizations get_organization_details Airtable
actionCompiles verified founder profiles with verification status and flags
create_records list_records update_records search_records 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 & Airtable 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.
Accelerator selection committees performing due diligence on 200+ applicant founders who need verified professional histories to supplement self-reported application data
Accelerator program directors assessing team stability who need co-founder relationship history , how long have they worked together, do they have shared professional experience
Investor-backed accelerators with fiduciary obligations who need documented founder verification processes to satisfy LP governance requirements
Corporate accelerators with reputational risk concerns who need to verify that admitted founders do not have undisclosed conflicts of interest or misrepresented backgrounds
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Lusha, Crunchbase and Airtable. 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 this a replacement for interviewing founders?
No. It is pre-interview due diligence. The verification gives the committee data to ask better interview questions. A discrepancy is not automatic disqualification , it is a conversation starter.
Can founders outside the US be verified?
Lusha and Crunchbase have global coverage but are strongest for US, EU, and major tech hubs. For founders in emerging markets, verification may return partial results. Mark these as 'Unverifiable' and rely on interview assessment.
Is this legal?
Lusha and Crunchbase provide professional business data from public and consented sources. This is standard pre-admission due diligence , similar to what employers and investors perform. It does not include personal credit, criminal, or health information.
What about first-time founders with no startup history?
First-time founders will have employment history verified through Lusha but no Crunchbase startup data. That is expected and not a negative signal. The verification confirms their professional background (where they worked, what title, how long) even without startup history.
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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.
Airtable
Airtable connects your structured data bases to your AI agent. Use it to query records, read schemas, update spreadsheets, and build automated workflows directly through chat. You can list bases, query specific records, or bulk-add data without leaving your chat client.