Markster MCP Server

Markster MCP Server

A comprehensive business management suite that integrates CRM, sales intelligence, and financial modeling tools directly into AI workspaces via 32 specialized tools. It enables users to analyze sales pipelines, simulate pricing impacts with interactive UI components, and execute cross-platform business tasks through natural language.

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README

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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