Run Technical Due Diligence Using MCP Servers.
Funding data pulled, tech stack analyzed, diligence report built , evaluate startup infrastructure without asking for a demo
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Here is what the diligence shows: your AI agent reads Crunchbase for the target startup , founding date, total raised, team size, CEO background, last round details.
Acme Payments: founded 2022, $11.7M raised (Seed + Series A), 42 employees, CEO previously VP Engineering at Stripe. Then the agent runs BuiltWith against acmepayments.com.
The tech stack reveals: React + Next.js frontend, Node.js backend, AWS infrastructure (CloudFront, S3, Lambda), Stripe for payments processing, Segment for analytics, Sentry for error monitoring, Datadog for observability.
That tells you: the engineering team chose a modern, production-grade stack. AWS Lambda means they are building for scale without heavy infrastructure costs.
Segment + Datadog means they invested in analytics and reliability early , a sign of engineering maturity. If instead the report showed WordPress + shared hosting + no analytics, that would be a red flag at Series A.
The agent compiles everything into a Google Sheets diligence report: company profile (Crunchbase), tech stack with maturity assessment (BuiltWith), and a checklist of infrastructure signals , analytics present, error monitoring, CDN, payment integration, SSL configuration.
One prompt. Your technical diligence is 80% complete before the first founder call.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Crunchbase, BuiltWith and Google Sheets MCP servers so your AI agent reads startup details and funding history from Crunchbase, analyzes the company's technology stack via BuiltWith, and compiles a technical due diligence report in Google Sheets. VCs evaluating SaaS and developer tool startups who need to understand the company's tech maturity before the first call get infrastructure intelligence that used to require a technical advisor. The agent shows: what the startup is built on, how mature their stack is, and whether the technology choices match the funding stage.
Crunchbase
triggerReads company details, funding rounds and team information
get_organization_details search_organizations list_funding_rounds get_person_details Builtwith Tech Lookup
actionAnalyzes the startup's technology stack and domain intelligence
lookup_domain_tech get_domain_company_info get_tech_trends get_domain_relationships Google Sheets
actionBuilds the technical due diligence report
append_sheet_values update_sheet_values get_spreadsheet create_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.
- Crunchbase, Builtwith Tech Lookup & 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 technical due diligence on SaaS startups who need to evaluate the tech stack before scheduling a deep-dive with the CTO
Angel investors without technical backgrounds who want to understand whether a startup's technology choices match their stage and claims
Fund managers evaluating developer tool or infrastructure startups who need to verify the company practices what it preaches (eating their own dogfood)
Corporate venture arms performing competitive intelligence on startups in adjacent markets to understand their technology architecture
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Crunchbase, BuiltWith 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.
Does BuiltWith access private code or servers?
No. BuiltWith analyzes publicly visible technology signals , HTTP headers, JavaScript libraries loaded on the page, DNS records, and publicly accessible metadata. It does not access private repositories, databases, or internal systems.
Is this a complete technical due diligence?
This covers infrastructure and technology stack analysis , roughly 30-40% of a full technical due diligence. Code quality, architecture reviews, scalability testing, and team assessments require direct access and interviews. This workflow gives you the first layer before you invest that time.
Is the startup data secure?
Crunchbase and BuiltWith provide publicly available information. Your due diligence report lives in your Google Sheet. Vinkius does not store any analysis data.
Can I run this on multiple startups for comparison?
Yes. Ask the agent to analyze 3-5 companies in the same sector. The Google Sheet will include a comparison tab showing tech stack differences side by side , useful for competitive analysis during diligence.
Benchmark Seed Valuations Using MCP Servers
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 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 for Founder Background Checks
Founder claims verified, previous companies checked, team history validated , know who you are admitting before the program starts
MCP servers used in this workflow
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.
BuiltWith Tech Lookup
BuiltWith Tech Lookup MCP Server gives you immediate visibility into any website's technology stack. Run the `lookup_domain_tech` tool to detect the CMS, analytics, hosting, and frameworks used by millions of domains. Use it for competitive research, lead qualification, or auditing digital infrastructure.
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.