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Markster MCP Server

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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 | +------------------------------------------------------------+ | Interactive UI (Vite + vite-plugin-singlefile) | | Chart.js | Bidirectional callServerTool() | 12 scenes | +------------------------------------------------------------+

12 Interactive Scenes

Scene

What it does

Interactive elements

Overview

Business bootstrap — KPIs, tasks, notifications

Traffic-light metrics, quick actions

Research

Company profiles, Apollo live enrichment

Real-time API calls, deal sync

People

Contact search, intent scoring

Profile cards, role context

Signals

Person-level buying signals

Ranked by intent score

Pricing

Discount simulation, EV curves

Slider, live charts, verdict

Deal Impact

Financial narrative per deal

Contextual framing per contact

Call Prep

Executive brief, talking points

Stitched from all available data

Outreach

Sequences, enrollment

Draft + send

Pipeline

Deals by stage, at-risk flags

$875K across 8 deals

Content

Calendar across 4 platforms, 15 posts

Status badges, live links

Cold Mail

Domain health, mailbox warmup

Infrastructure monitoring

Action Plan

Time-boxed priorities by revenue impact

Go buttons → execute tasks

32 Tool Inventory

Customer and CRM (8 tools)

Tool

Description

customer_workspace_snapshot

Unified customer state: profile, notifications, tasks, KPIs

customer_profile_manage

Read/update customer profile and onboarding data

contact_profile_workspace

Search, fetch, and manage contact profiles

company_profile_workspace

Search, fetch, and manage company profiles

onboarding_flow_manage

Start onboarding, persist step answers

onboarding_ai_assist

AI prefill, scoring, voice-pack generation

dashboard_insights

Dashboard slices, time-series, refresh

pipeline_workspace

CRM pipeline, trend history, at-risk deals

Tasks and AI Team (5 tools)

Tool

Description

task_workspace

Task overview, progress, initialization

task_action

Start, complete, reopen tasks, update notes

task_content_regenerate

Regenerate onboarding-generated content

ai_team_workspace

List AI agents, manage conversations

ai_team_chat_turn

Send message turn with SSE streaming

Content and Social (4 tools)

Tool

Description

content_calendar_workspace

Generate, list, get content calendars

content_post_workspace

Generate, edit, regenerate, approve social posts

content_audio_library

List, upload, delete audio tracks

content_social_accounts

Fetch CRM-connected social accounts

Outreach and Prospecting (4 tools)

Tool

Description

outreach_brand_assets_workspace

Manage brands, offers, personas

outreach_icp_workspace

Create, list, filter ideal customer profiles

outreach_sequence_workspace

Manage outbound sequence lifecycle

outreach_enrollment

Enroll leads into outreach campaigns

Knowledge and Artifacts (3 tools)

Tool

Description

customer_artifact_workspace

Create, list, edit, archive artifacts

customer_document_workspace

CRUD for customer documents

customer_data_change_review

Proposal queue + approval/rejection

Email Infrastructure (3 tools)

Tool

Description

domain_mailbox_manage

CRUD domain/mailbox with health checks

cold_mail_health

Setup status, warmup progress, inbox rate

customer_image_assets

Upload, delete profile photos and logos

Voice and Brand (1 tool)

Tool

Description

voice_pack_workspace

Voice-pack CRUD, set company default voice

Deal Intelligence (4 custom tools)

Tool

Description

sales_intelligence

Multi-mode: research (Apollo live), signals, pricing simulation

deal_impact

MRR, margin, runway, commission impact modeling

simulate_pricing

Discount simulation with close probability + EV curves

daily_priorities

Time-boxed action plans ranked by revenue impact

Tech Stack

Layer

Technology

MCP Server

@modelcontextprotocol/sdk 1.19.3 + Express 5.0.1

MCP Apps UI

@modelcontextprotocol/ext-apps 1.0.1

Deploy

@mcp-use/cli 2.13.5 (Manufact Cloud)

Auth

@workos-inc/node 8.5.0 (OAuth 2.1, AuthKit)

Bundler

Vite 6.3.5 + vite-plugin-singlefile (zero CSP, single HTML)

Charts

Chart.js (inline, bundled)

Validation

Zod 3.24.4 + OpenAPI schema generation

Language

TypeScript 5.8.3

Enrichment

Apollo API (live, any domain)

Financial Engine

Custom: close probability, EV curves, LTV modeling

Sponsor Technology Integration

Sponsor

How we use it

Anthropic

Claude is the primary AI workspace. MCP is the protocol.

OpenAI

ChatGPT is the second platform. Same server, same tools, same UI.

Puzzle

Financial metrics use Puzzle terminology: burn_multiple, spotlight_anomalies, cash_out_date. Direct API swap when available.

WorkOS

AuthKit + OAuth 2.1 for multi-tenant MCP authentication. RBAC in JWTs.

Cloudflare

DNS and email infrastructure. Domain health monitoring via cold_mail_health.

Manufact

One-command deploy to Manufact Cloud. MCP Apps scaffold via @mcp-use/cli.

Quick Start

npm install npm run build PORT=3002 npm run start

Verify:

curl -s http://127.0.0.1:3002/ curl -sS -H 'Accept: application/json, text/event-stream' \ -H 'content-type: application/json' \ -X POST http://127.0.0.1:3002/mcp \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

Environment Variables

Variable

Required

Description

MARKSTER_API_BASE_URL

For live mode

Markster Panel API base URL

MARKSTER_CUSTOMER_API_KEY

For live mode

Customer token from Markster Panel

MARKSTER_MOCK_MODE

No

Set true for local mock responses

MARKSTER_TOOL_CALL_LOGGING

No

Set true for verbose tool logging

WORKOS_CLIENT_ID

For auth

WorkOS client ID

WORKOS_REDIRECT_URI

For auth

OAuth redirect URI

WORKOS_COOKIE_PASSWORD

For auth

Session cookie encryption key

PORT

No

Server port (default: 3000)

Deploy

npm run deploy # One-command deploy to Manufact Cloud

MCP Validation CLI

npm run mcp:test -- check --endpoint http://127.0.0.1:3002/mcp npm run mcp:test -- list-tools --endpoint http://127.0.0.1:3002/mcp npm run mcp:test -- call --tool sales_intelligence \ --args '{"mode":"research","company_name":"Anthropic"}' \ --endpoint http://127.0.0.1:3002/mcp

Numbers

Metric

Value

MCP tools registered

32

UI scenes

12 interactive

Sponsor integrations

6 of 6

Bidirectional UI

Yes (slider talks back to server)

Live MRR

$15,628

Customers

41

Gross margin

82%

First client growth

9.2x in 15 months ($71K to $1.3M)

Pipeline

$875K across 8 deals

Employees

0 (both founders code daily)

Project Structure

. ├── server.ts # MCP server setup + tool registration ├── main.ts # Express app, auth, logo proxy, MCP routes ├── src/ │ ├── tools/ │ │ ├── markster-business-os.ts # 28 Markster tool executors + registration │ │ ├── daily-priorities.ts # Action plan tool │ │ ├── simulate-pricing.ts # Pricing simulator │ │ ├── deal-impact.ts # Financial deal modeling │ │ ├── prep-call.ts # Call prep briefing │ │ └── get-signals.ts # Person-level signals │ ├── services/ │ │ ├── impactEngine.ts # Close probability, EV curves, LTV model │ │ └── mockData.ts # Pre-seeded company data, deal defaults │ ├── ui/ │ │ └── app.ts # 4500+ line interactive UI (12 scenes) │ ├── shared/ │ │ ├── marksterToolManifest.ts # Tool catalog + schema definitions │ │ └── markster-brand-pack.ts # Visual system tokens │ ├── markster/ │ │ └── client.ts # Markster Panel API client │ └── types/ │ └── contracts.ts # Zod schemas + TypeScript types ├── data/ │ ├── financials.json # Puzzle-style financial baseline │ ├── mock-signals.json # Person-level intent signals │ └── preseeded/ # Apollo company cache (10 companies) ├── resources/ │ └── app.html # UI entry point (Vite builds to dist/) └── docs/ ├── demo-storyboard.md # Demo script + Q&A playbook ├── design.md # Full architecture + positioning ├── ecosystem-poster.html # Visual ecosystem map └── demo-page.html # One-page project overview

Team

Ivan Ivanka (CEO) — on-site at YC SF. Pitch, demo, strategy. Attila Sukosd (CTO) — remote from Copenhagen. Engineering, MCP wiring, deploy.

Zero employees. Both founders code daily. First client grew 9.2x in 15 months.

markster.ai

28 production tools. Your entire business operating system. One conversation. We showed you one flow — try the rest.

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