MCP Servers for Accelerator Alumni Tracking.
Alumni funding rounds tracked, traction signals monitored, portfolio performance measured , prove your accelerator's value with real numbers
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your accelerator has graduated 12 batches over 6 years , 240 companies total. Some raised Series A. Some raised Series B and beyond.
Some shut down. Some were acquired. You need to know the current status of all 240. Your AI agent queries Crunchbase for every alumni company: current funding status, last round date, total raised, latest valuation, key investors, and any acquisition or IPO events.
It returns the full funding history. Company X (Batch 3): Seed ($2M, 2020) Series A ($12M, 2022) Series B ($45M, 2024).
Last valuation: $180M. Status: Growing. Company Y (Batch 5): Seed ($1.5M, 2021) Acquired by Enterprise Corp ($30M, 2023). Status: Exited.
Company Z (Batch 8): Seed ($800K, 2022) No follow-on. Status: Operating at $50K MRR. Company W (Batch 2): Seed ($1M, 2019) Shut down (2021).
Status: Closed. Then Harmonic adds the current traction layer: Company X is hiring 15 people, website traffic up 120% YoY, featured in TechCrunch.
Company Z is flat , 3 employees, no traffic growth, no press. The agent builds a Google Sheets dashboard: 240 companies, 12 batches, full lifecycle.
Aggregate stats: total capital raised by alumni ($650M), number of follow-on rounds (85), exits (12), shutdowns (42), still operating (186).
Batch-over-batch comparison: Batch 3 produced the best outcomes (3 companies raised $100M+ combined). Batch 7 had the highest failure rate (8 of 20 shut down).
That data is your annual report. That data is your LP deck. That data is what attracts the next batch of applicants.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Crunchbase, Harmonic and Google Sheets MCP servers so your AI agent tracks every accelerator alumni company across batches , monitoring funding rounds from Crunchbase (who raised, how much, from whom, at what valuation), current traction from Harmonic (are they growing, hiring, getting press?), and compiling the portfolio performance dashboard in Google Sheets. The single most important metric for any accelerator is alumni performance. LPs evaluate your fund. Startups evaluate your program. Mentors evaluate your selection. All based on the same question: what happened to the companies after they graduated? If your top alumni raised $150M collectively and 3 reached unicorn status, that is your brand. If you cannot tell that story with data, you are competing on reputation alone. This workflow builds the data.
Crunchbase
triggerTracks alumni funding rounds , who raised, how much, from which investors
search_organizations get_organization_details list_funding_rounds get_funding_round_details Harmonic
actionMonitors alumni traction , hiring, traffic, product launches, press coverage
enrich_company list_traction_signals get_company_stats list_company_news Google Sheets
actionCompiles the alumni performance dashboard with batch-over-batch comparisons
create_spreadsheet append_sheet_values update_sheet_values 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 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, Harmonic & 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.
Accelerator program directors producing annual impact reports who need real-time alumni funding and traction data across 200+ graduated companies
Accelerator fundraising teams preparing LP decks who need verifiable portfolio performance metrics , total capital raised, exits, follow-on rates , updated quarterly
Accelerator marketing teams building alumni success story content who need to identify which graduates recently raised or hit growth milestones
Accelerator selection committees benchmarking batch quality over time who need batch-over-batch performance comparisons to improve selection criteria
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Crunchbase, Harmonic 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.
How often should I update the alumni tracker?
Quarterly is ideal for funding data (Crunchbase). Monthly for traction signals (Harmonic) if you want to catch fundraising signals early. The Google Sheets dashboard can be refreshed on any cadence.
Can I track alumni from other accelerators for benchmarking?
Yes. Query Crunchbase for any accelerator's alumni , YC, Techstars, 500 Global. Compare their follow-on rates and exit values to yours. This competitive benchmarking helps you position your program.
Is alumni data complete on Crunchbase?
Crunchbase captures disclosed rounds. Some early-stage rounds go unreported , especially angel rounds and small bridge financings. For comprehensive alumni tracking, supplement with direct founder outreach for companies not appearing in Crunchbase.
Can I share this dashboard with applicants?
Yes , and you should. Alumni performance data is your strongest recruiting tool. Founders choosing between accelerators will pick the one with verifiable outcomes. Publish the top-line metrics on your website and share the detailed dashboard with shortlisted applicants.
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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.
Harmonic
Harmonic. This MCP Server lets your AI agent automate venture intelligence and market research. You can enrich company profiles, track funding rounds, and discover investors directly from a natural conversation. It gives you deep company stats, professional background checks, and real-time news feeds for due diligence, all without leaving your 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.