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
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Here is the signal: you are building a thesis around 'AI infrastructure' , the picks-and-shovels layer for generative AI. Is the sector real or hype? Your AI agent queries Crunchbase for all funding rounds in AI infrastructure for the last 12 months.
It returns: 142 rounds totaling $8.2B. Breakdown , 45 Seed rounds (avg $4.2M), 38 Series A ($14.5M avg), 28 Series B ($35M avg), 18 Series C ($68M avg), 13 late-stage ($120M+ avg).
Quarter-over-quarter trend: Q2 deal volume is up 22% vs Q1. Median round size is up 15%. Capital is accelerating. Then the agent pulls Alpha Vantage for public market validation: GPU cloud providers (NVDA trades at 35x revenue, AMD at 8x).
Data infrastructure (SNOW at 18x, MDB at 12x, DDOG at 14x). AI model companies (public AI companies trading at 20-40x revenue).
Public multiples confirm private enthusiasm , multiples are expanding, not compressing. The agent organizes everything in Airtable: each record is a data point , funding round, public comp, market trend, thesis hypothesis.
You build your thesis bottom-up from data. When an LP asks 'Why AI infrastructure?' you open the Airtable base and show them the math.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Crunchbase, Alpha Vantage and Airtable MCP servers so your AI agent analyzes venture funding trends across sectors from Crunchbase, benchmarks those against public market valuations and sector performance from Alpha Vantage, and organizes your sector thesis research in a structured Airtable database. VCs and angel investors developing a new fund thesis , or validating an existing one , get a system that answers the fundamental question: is capital flowing into this sector, and are public markets confirming or contradicting the private market enthusiasm? A GP who shows up to LP meetings with a thesis backed by 3 years of funding data and current public comps raises capital faster than one with a slide that says 'TAM: $50B.'
Crunchbase
triggerAnalyzes venture funding trends, deal volume and round sizes by sector
search_organizations list_funding_rounds list_investments get_funding_round_details Alpha Vantage
actionPulls public market sector performance and valuation multiples
get_sector_performance get_company_overview get_quote get_earnings Airtable
actionOrganizes sector thesis research into a structured database
create_records list_records search_records update_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.
- Crunchbase, Alpha Vantage & 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.
GPs developing a new fund thesis who need data-driven sector analysis to present to potential LPs during fundraising
VCs evaluating whether to enter a new sector who need to understand funding velocity, deal volume, and public market validation
Angel investors specializing in a sector who want to track quarterly funding trends to time their investments with market momentum
Fund strategists performing annual thesis reviews who need updated venture and public market data to validate or pivot their investment focus
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Crunchbase, Alpha Vantage 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.
Can I use Google Sheets instead of Airtable?
Yes. Google Sheets MCP is available on Vinkius. Airtable is used here because its relational database structure (linked tables, filters, views) is better suited for thesis research with 100+ data points. For simpler analysis, Google Sheets works fine.
How current is Crunchbase funding data?
Crunchbase data is typically reported within days of a public funding announcement. Some rounds are reported with a delay if the company or investors embargo the announcement. For sector-level trend analysis, the coverage is extensive.
Is this a substitute for primary research?
This is secondary research , market data and public information. Primary research (founder interviews, customer calls, technical deep-dives) remains essential. This workflow gives you the quantitative foundation before you invest time in qualitative research.
Can I track my thesis over time?
Yes. Run the workflow quarterly. The Airtable base accumulates records over time , funding trends, public comp changes, hypothesis status updates. After 4 quarters, you have a longitudinal view of how your sector evolved.
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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
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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 for Investment Committee Memos
Company enriched, funding history pulled, IC memo structured , your investment committee prep goes from 8 hours to 30 minutes
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.
Alpha Vantage
Alpha Vantage connects any AI client to global financial markets. It gives you real-time quotes, historical OHLCV data (daily through intraday), technical indicators like RSI/MACD, corporate fundamentals, and crypto/forex rates—all from a single conversation.
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.