Track Post-Demo Fundraising Progress via MCP.
Term sheets tracked in real time, struggling founders identified, accelerator intros deployed , manage the 48-hour window after Demo Day that determines everything
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Demo Day happened yesterday. 30 companies pitched to 200 investors. Now the real work begins. Within the first 48 hours, the top 5-8 companies will receive 3-5 term sheets each.
These founders need advice on comparing terms, negotiating, and selecting lead investors. Within the first 2 weeks, another 10-12 companies will receive term sheets as investors who 'need more time' make decisions.
These founders need patience and follow-up strategy. After 3 weeks, 8-10 companies will have no term sheets. These founders need the accelerator to make warm introductions to investors who were not at Demo Day.
Your AI agent monitors all 30 companies daily. Harmonic detects fundraising signals: Company A posted 3 new job listings 2 days after Demo Day , that means they have money (or are about to).
Company B was featured in TechCrunch with 'announces $3M Seed' , round confirmed. Company C has zero signals after 10 days , no press, no hiring, no investor meetings detected.
That is the company that needs help. Crunchbase confirms the closed rounds: Company B , $3M Seed from Sequoia Scout and 2 angels.
Round closed June 18. Company D , $4.5M Seed from a16x. Round closed June 20. The agent updates Attio in real time: 30 companies move through stages , 'Fundraising,' 'Term Sheet Received,' 'Negotiating,' 'Closed,' or 'Needs Support.' The program director opens Attio Monday morning and sees: 8 closed, 7 negotiating, 5 in active conversations, 10 need introductions.
The team acts accordingly.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Harmonic, Crunchbase and Attio MCP servers so your AI agent monitors fundraising activity for every cohort company after Demo Day , detecting term sheet signals through Harmonic (investor meetings, hiring bursts, press coverage that indicates a raise), confirming closed rounds through Crunchbase (announced funding, investor names, round sizes), and managing the post-Demo Day support pipeline in Attio. Demo Day is not the finish line , it is the starting gun. The 2-4 weeks after Demo Day determine which companies raise and which do not. At YC scale, 240 companies are fundraising simultaneously. The program team needs to know in real time: who received term sheets? Who closed? Who is struggling? Who needs YC to make warm introductions? Without this visibility, the program team is guessing. With it, they deploy resources precisely , sending the right partner to help the right founder at the right moment.
Harmonic
triggerDetects fundraising signals , investor meetings, hiring bursts, press that indicates a raise
enrich_company list_traction_signals list_company_news get_company_stats Crunchbase
actionConfirms closed rounds , announced funding, investor names, round sizes
search_organizations get_organization_details list_funding_rounds get_funding_round_details Attio
actionManages the post-Demo Day support pipeline , who needs intros, who is closing
create_record query_records assert_record 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.
- Harmonic, Crunchbase & Attio 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 managing the post-Demo Day fundraising window who need real-time visibility into which cohort companies received term sheets and which need intervention
YC-scale accelerators with 200+ companies fundraising simultaneously who need automated monitoring because manual tracking at that volume is impossible
Accelerator partners providing hands-on fundraising support who need to identify exactly which companies to call this week based on their fundraising status
Accelerator LP reporting teams who need accurate post-batch fundraising metrics , how much capital did the batch raise within 30, 60 and 90 days of Demo Day
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Harmonic, Crunchbase and Attio. 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 quickly do signals appear after a round closes?
Hiring signals appear within days. Press coverage typically follows 1-2 weeks after close (due to embargoes). Crunchbase confirmation can take 2-4 weeks for announced rounds. Harmonic's traction signals give you the earliest read.
Can this replace asking founders for updates?
It supplements founder updates with external verification. Founders provide context (investor names, term details). The agent provides the signals founders may not share , like the absence of activity. Use both.
How often should I run the monitoring?
Daily during the first 2 weeks post-Demo Day. Weekly for weeks 3-8. Monthly after that. The intensity matches the fundraising window , most action happens in the first 14 days.
Is this only for Demo Day-style accelerators?
The workflow applies to any accelerator with a defined fundraising milestone , Demo Day, Investor Day, or structured introductions. The core pattern is the same: monitor post-event fundraising signals and provide support where needed.
MCP Recipe for Investor Network Mapping
Investor portfolios mapped, your network connections surfaced, warm intro request sent , get into deals through your existing relationships
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 Data-Driven LP Updates
Traction signals read, cap tables checked, LP update emails sent , your quarterly letter writes itself from real data
MCP Servers to Build Investor Pipeline Fast
Active investors identified, sector matches mapped, RSVP pipeline built , fill Demo Day with investors who actually write checks, not tourists
MCP Workflow for Building Co-Investor Syndicates
Co-investors identified by portfolio overlap, contacts found, relationships tracked , fill your Seed round with the right partners in days, not months
Scout Top Startups Before Demo Day via MCP
Every YC batch company scanned, traction signals ranked, top picks added to your pipeline , scout Demo Day before the crowd arrives
MCP servers used in this workflow
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.
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.
Attio
Attio MCP Server lets your AI agent manage all your CRM data. It lets you read, create, and update records for People, Companies, and Deals. You can list all data objects, query specific records by ID, or run fuzzy searches across your entire workspace using natural language. It's for anyone who needs to interact with structured sales data without clicking through dashboards.