Track Startup Exits and IPOs Using MCP.
Acquisitions tracked, IPOs monitored, exit multiples calculated , know when your sector is heating up before the market prices it in
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Here is the thing: your portfolio company's board asks 'What are the exit comps?' and you scroll through old pitch decks looking for a slide from 6 months ago.
That number is stale. Your AI agent queries Crunchbase for recent acquisitions in your target sector , fintech, healthtech, SaaS, developer tools , and returns: 'Acme Analytics acquired by Salesforce for $340M (14x ARR).
PayFlow acquired by Stripe for $180M (11x revenue). DataPipe acquired by Snowflake for $520M (18x ARR).' For IPOs, it pulls recent filings: 'FinCore filed S-1 on May 15.
Target valuation: $2.1B on $175M ARR (12x). Expected listing: NASDAQ, Q3 2026.' Then MarketAux adds the news context: 'Salesforce acquisition of Acme Analytics , analyst sentiment: 72% positive.
Coverage in TechCrunch, Bloomberg, The Information.' The agent builds a Google Sheets dashboard: 8 exits in your sector in the last 90 days.
Median acquisition multiple: 12.5x revenue. IPO pipeline: 3 companies filed. The numbers tell you: exit windows are open, buyers are paying, and your portfolio company trading at 8x might have upside.
Or the opposite , multiples are compressing, IPO pipeline is empty, and this is not the quarter to push for an exit.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Crunchbase, MarketAux and Google Sheets MCP servers so your AI agent tracks startup acquisitions and IPO filings from Crunchbase, pulls news sentiment and deal coverage from MarketAux, and builds an exit activity dashboard in Google Sheets. Fund managers and angel investors who need to understand exit velocity in their sectors , who is getting acquired, at what multiples, and whether IPO windows are opening , get a real-time exit intelligence feed. The GP who walks into a board meeting knowing that 3 competitors exited in the last 90 days at 12x revenue has a conversation the rest of the table is not prepared for.
Crunchbase
triggerTracks acquisitions, IPO filings and exit details across sectors
list_acquisitions get_acquisition_details get_ipo_details search_organizations Marketaux
actionPulls news coverage and sentiment around exits and market trends
search_news get_sentiment_analysis get_trending_news get_entities Google Sheets
actionBuilds exit activity dashboard with multiples and trends
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, Marketaux & 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.
Fund managers preparing board meeting materials who need current exit comps and multiples for their portfolio companies' sectors
GPs evaluating exit timing for portfolio companies who need to know if IPO windows are open and acquisition multiples are favorable
Angel investors tracking sector-level exit activity to understand potential returns on their startup positions
Fund-of-fund managers monitoring exit velocity across underlying GP portfolios to assess fund performance trajectory
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Crunchbase, MarketAux 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 Crunchbase track all acquisitions?
Crunchbase tracks publicly reported acquisitions and IPO filings. Some private acquisitions with undisclosed terms may not appear. For public M&A and IPO filings, coverage is extensive across all sectors.
Can I track multiple sectors simultaneously?
Yes. Ask for 'exits in fintech, healthtech and developer tools in the last 90 days.' The agent builds a multi-sector dashboard with sector-by-sector breakdowns and cross-sector multiple comparisons.
Is this financial advice?
No. This is market data aggregation and historical pattern analysis. Exit multiples and IPO filing data are public information. Investment decisions should account for company-specific factors beyond sector-level trends.
How often should I run this?
Monthly for sector monitoring. Weekly during active exit discussions for a portfolio company. Before every board meeting and LP reporting cycle for current comps.
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Funding trends mapped, public market multiples benchmarked, sector thesis documented , build your investment thesis on data, not slides
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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 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.
Marketaux
Marketaux connects your AI agent directly to global financial data. It lets you search news by symbol, check real-time market status, get sentiment scores for articles, and list indices like S&P 500 or NASDAQ. Stop looking up symbols manually; just ask the agent.
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.