Your Entire Business. One Conversation.
Your Entire Business. One Conversation.
YC MCP Apps Hackathon | Feb 21, 2026 | Y Combinator, SF
We replaced 8 SaaS tools with 7 natural-language prompts. In 90 seconds, a founder goes from "How's my business?" to closing a $150K deal — with real pipeline data, real intent signals, and a pricing simulator that tells you whether to discount or hold firm. All inside Claude.
This is not a hackathon prototype. This is 2 years of production infrastructure — 41 customers, $15.6K MRR, 82% gross margins — exposed through MCP in a single weekend.
Why This Matters
The $1T+ SaaS market is collapsing. HubSpot down 70%. ZoomInfo down 49%. Five CEO departures in 2025. Every founder still stitches together 8-12 disconnected tools that don't talk to each other.
Meanwhile, 800M people use ChatGPT weekly. Claude is where developers live. Both have zero business context — no pipeline, no customers, no revenue.
We fixed that. 32 MCP tools. 8 business domains. 12 interactive scenes. One conversation.
The founder asks a question. The AI workspace answers with live data, interactive charts, and actionable recommendations — not generic advice, but "Reema Batta at Figma has intent score 87/100, she visited your pricing page 6 times this week, here are your talking points for the call, and here's what happens to your runway if you offer 20% off."
The Demo (7 prompts, 90 seconds)
| # | What you say | What happens |
|---|---|---|
| 1 | "How's my business doing this morning?" | Full business dashboard: $15.6K MRR, 82% margins, 41 customers, pipeline, tasks, notifications |
| 2 | "Tell me about Figma" | Live company profile via Apollo enrichment, auto-syncs $150K deal, key contacts |
| 3 | "What signals do we have on Figma?" | Reema Batta — VP Growth, intent 87/100, "Ready to Buy." 6 pricing page visits this week |
| 4 | "What if I offer 20% discount?" | Interactive slider. Drag to 10% → "TAKE THE DEAL." Drag to 35% → "DON'T DISCOUNT." Live Chart.js EV curves |
| 5 | "Show me the deal impact" | Financial narrative: MRR shift, margin impact, runway change, framing for Reema |
| 6 | "Prep me for the call" | Executive brief: talking points, do-not-do list, call script, warmest contact analysis |
| 7 | "I have an hour, what should I do?" | Time-boxed action plan: 5 tasks, $350K at stake, Go buttons that execute each task |
Every scene links to every other scene. The slider talks back to the server. The Go buttons trigger real tool calls.
What Makes This Different
Bidirectional UI inside the AI workspace. The pricing simulator slider doesn't just display data — it calls app.callServerTool() to re-run financial models on every drag. The server responds, charts update, the verdict changes. This is not a static embed. This is a reactive application living inside Claude.
Real business, real data. $875K pipeline across 8 active deals. Person-level intent signals with behavioral scoring. Financial models that calculate close probability, expected value curves, and LTV impact. Not mock data for a demo — production APIs serving a live business.
32 tools, zero new infrastructure. Every tool is a thin MCP wrapper around existing Markster Panel REST APIs that serve 41 customers today. The hackathon didn't build a product. It proved a distribution model.
Architecture
+-----------------------------------------------------------+
| Claude / ChatGPT |
| (AI Workspace) |
+--------------------------+--------------------------------+
| MCP Protocol
+--------------------------+--------------------------------+
| Markster MCP Server |
| Express 5 + StreamableHTTPServerTransport |
| 32 tools + UI resource (single-file HTML bundle) |
+------------------------------------------------------------+
| +-----------+ +-----------+ +-----------+ +-----------+ |
| | Customer | | Content | | Outreach | | Tasks | |
| | Workspace | | Calendar | | Pipeline | | AI Team | |
| +-----+-----+ +-----+-----+ +-----+-----+ +-----+-----+ |
| | | | | |
| +-----+--------------+-------------+--------------+----+ |
| | Markster Panel REST API | |
| | panel.markster.io (production) | |
| +-------------------------------------------------------+ |
| |
| +-----------+ +-----------+ +-----------+ +-----------+ |
| | Apollo | | Impact | | Pricing | | Signals | |
| | Enrich | | Engine | | Sim | | Engine | |
| +-----------+ +-----------+ +-----------+ +-----------+ |
| Custom tools: live enrichment + financial modeling |
+------------------------------------------------------------+
|
Tools (4)
business_dashboardRetrieves a full business dashboard including MRR, margins, customers, and pipeline data.company_enrichmentEnriches company profiles using Apollo data to sync deals and key contacts.pricing_simulatorSimulates pricing impacts and discount scenarios using interactive financial models.call_preparationGenerates an executive brief with talking points, call scripts, and contact analysis.Environment Variables
MARKSTER_API_KEYrequiredAPI key for accessing Markster Panel REST services.Configuration
{"mcpServers": {"markster-exec": {"command": "npx", "args": ["-y", "markster-exec"]}}}