Startup Financial Model MCP for AI. Predict profitability, month by month.

Q: Is there a best workflow sequence when using queryrevenuegrowth and generatecomprehensiveprojection?

You should run queryrevenuegrowth first to lock in your projected revenue figures. Then, pass those results directly into the main projection tool for the final model build.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Startup Financial Model generates complete 12, 24, or 36-month financial forecasts for early-stage companies. It projects Profit & Loss statements, models cash flow over time, and determines your break-even month by factoring in projected revenue growth and operational costs.

What your AI can do

Generate comprehensive projection

Creates a full financial report detailing P&L, cash flow, and break-even analysis for selected months.

Query cost structure

Calculates the monthly costs for goods sold (COGS) and operating expenses based on provided data.

Query revenue growth

Figures out the expected monthly revenue breakdown based on defined growth assumptions.

Forecast future income streams

Calculates expected monthly revenue breakdowns based on specific growth assumptions.

Calculate operating costs

Determines total running expenses, including Cost of Goods Sold (COGS) and fixed overheads, for any given period.

Generate full financial roadmaps

Creates a complete report combining Profit & Loss statements, cash flow projections, and break-even analysis over 12 to 36 months.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Startup Financial Model: 3 Tools

These tools allow you to forecast revenue growth, calculate cost structures, and generate full financial reports for any startup size.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Startup Financial Model on Vinkius

Generate Comprehensive Projection

Creates a full financial report detailing P&L, cash flow, and break-even analysis for selected months.

Query Cost Structure

Calculates the monthly costs for goods sold (COGS) and operating expenses based on...

Query Revenue Growth

Figures out the expected monthly revenue breakdown based on defined growth...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Startup Financial Model integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "startup-financial-model": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Startup Financial Model tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"startup-financial-model": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. 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

Start building

Make Your AI Do More

Start with Startup Financial Model, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Startup Financial Model MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Startup Financial Model. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Tracking cash flow requires constant manual spreadsheet updates.

Today, running a full financial projection means opening at least five different tabs: one for revenue, one for COGS, another for operating expenses, and then the final P&L/Cash Flow sheet. You spend hours copying numbers from tab to tab, adjusting formulas when an assumption changes, and checking if your math is right across 36 months.

With this MCP, you define the inputs—your growth rate and cost structure—and the system builds the entire multi-year forecast automatically. You get one single output that shows profitability month by month, saving massive amounts of time and eliminating formula errors.

The Startup Financial Model MCP gives you a complete financial roadmap.

You no longer have to manually reconcile revenue streams with operational costs. The model integrates your projections, running `query_revenue_growth` against defined spending limits from `query_cost_structure`. This synthesis produces the definitive view of profitability that you need.

The result isn't just a graph; it's a concrete timeline showing exactly when and how fast you hit positive cash flow. You know your runway without having to rebuild the model every time your assumptions shift.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

What your AI can actually do with this

This MCP handles the hard math behind scaling a business. Forget manually updating spreadsheets every quarter just to see if you’re profitable yet. This connector takes your assumptions about sales growth and connects them directly to your anticipated spending—everything from COGS to fixed overheads. You can run complex models that predict not only how much revenue you'll bring in, but exactly when those revenues cover all your operational expenses and pay for the building rent.

When you see a full P&L statement combined with cash flow projections, it gives you a clear financial roadmap. It’s like having a CFO who runs simulations 24/7. You can find this tool and manage these complex models right here in the Vinkius catalog.

Built · Hosted · Managed by Vinkius Startup Financial Model - Forecast P&L & Cash Flow

Server ID 019edba9-2133-732c-be91-3f9fd5b3b8b9

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

What Changes When You Connect

Pinpoint your break-even point. Instead of just knowing you'll make money eventually, the generate_comprehensive_projection tool tells you exactly when that happens and how much capital you need to get there.

Stress-test your budget instantly. Run query_cost_structure to see how changing one fixed expense (like marketing spend) impacts overall cash flow without having to adjust every single spreadsheet tab.

Model aggressive sales growth safely. Use query_revenue_growth first. This gives you a reliable revenue input, which then grounds the rest of your projections in reality.

Create investor-ready materials faster. By synthesizing inputs from all three tools, you get one cohesive document—a full P&L and cash flow report—instead of three disconnected spreadsheets.

Avoid sunk cost surprises. The model forces you to see costs (COGS/OpEx) alongside revenue, preventing the common mistake of assuming high sales automatically guarantee profit.

See it in action

01 01

The Founder needs a runway date.

A founder needs to know if they can survive the next 18 months. They use query_revenue_growth for their expected sales, pass that data into query_cost_structure (listing all salaries and rent), and then run generate_comprehensive_projection. The result shows them exactly when their cash reserves dip below zero.

02 02

The Investor wants to see risk mitigation.

An analyst needs proof that the company can survive a downturn. They model three scenarios using query_revenue_growth (best, worst, and expected case). Then they run generate_comprehensive_projection for all three paths to show the range of potential outcomes.

03 03

The Ops Manager is budgeting new hires.

An operations manager wants to hire five new people. They use query_cost_structure to model the impact of those salaries and overheads. This calculation informs the subsequent run using generate_comprehensive_projection, ensuring the expense doesn't blow past projected revenue.

04 04

The Department Head needs a sales target.

A department head proposes a new product line. They use query_revenue_growth to estimate potential income and then run generate_comprehensive_projection. The resulting profit margin helps them justify the investment cost.

The honest tradeoffs

Only forecasting revenue.

Anti-pattern

A user only runs a simple growth calculation, assuming that high sales automatically mean profitability. They ignore costs entirely and get an overly optimistic picture of the business's health.

The Fix

You must always combine your assumptions with cost data. Run query_cost_structure first to calculate COGS and operating expenses. Then feed those numbers into generate_comprehensive_projection for a realistic view.

Trying to model costs manually.

Anti-pattern

Spending hours creating interconnected formulas in a spreadsheet that break every time one assumption changes, leading to inaccurate or outdated financial data.

The Fix

Let the MCP handle it. Use query_cost_structure and let the tool calculate COGS and OpEx based on your defined parameters, saving you days of formula debugging.

Ignoring time frames.

Anti-pattern

Trying to model a 5-year projection using simple annual estimates. This loses critical data about seasonal dips or cash flow timing.

The Fix

Always specify monthly periods (12, 24, or 36 months). The MCP is designed to track month-over-month changes needed for accurate break-even analysis.

When It Fits, When It Doesn't

Use this MCP if your core decision revolves around predicting financial viability over multiple years. You need to know when and how you will become profitable, not just that you eventually will. The key is linking revenue (using query_revenue_growth) directly to expense constraints (query_cost_structure) before generating the final report (generate_comprehensive_projection). Don't use this if your only need is a simple current month balance sheet or tax filing; those are historical accounting tasks, not forward-looking models. This tool assumes you have clear assumptions about cost structure and sales growth rates.

Questions you might have

How does generate_comprehensive_projection work? +

It combines revenue, costs, and overheads into one report showing P&L and cash flow. It calculates the break-even point based on all inputs you provide.

Can I use query_revenue_growth to predict sales for 3 years? +

Yes, it handles periods up to 36 months. You just need to set your growth rates and the total number of months you want to forecast.

Does query_cost_structure handle salaries? +

It calculates operating expenses, so you can include salary costs here along with other fixed overheads like rent or utilities.

Is this MCP for current accounting records? +

No. This tool is purely for forecasting and modeling future financial performance based on assumptions, not reporting on what happened yesterday.

What input assumptions does `query_revenue_growth` need? +

It requires a starting revenue amount and a defined growth rate percentage. The MCP uses those specific parameters to calculate the full monthly breakdown for your forecast.

Does `generate_comprehensive_projection` let me customize the output reports? +

Yes, you specify which statements are needed in the prompt parameters. This means you can generate only a P&L or just Cash Flow without extra filler content.

What happens if I input conflicting data into `query_cost_structure`? +

The MCP validates all your numbers and returns an explicit error message. This detail helps you find the conflict immediately, preventing bad calculations down the line.

Is there a best workflow sequence when using `query_revenue_growth` and `generate_comprehensive_projection`? +

You should run query_revenue_growth first to lock in your projected revenue figures. Then, pass those results directly into the main projection tool for the final model build.

What time horizons can I model? +

The engine supports projections for 12, 24, or 36 months.

How do I calculate the break-even month? +

Use the generate_comprehensive_projection tool. It automatically identifies the first month where net income becomes non-negative.

Can I input custom growth rates? +

Yes, you can specify any monthly percentage increase as a decimal (e.g., 0.05 for 5%) in the tool parameters.

Connect to your AI in seconds.

Generate comprehensive projection

Query cost structure

Query revenue growth

Startup Financial Model: 3 Tools

Make your AI actually useful.

Generate Comprehensive Projection

Query Cost Structure

Query Revenue Growth

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Tracking cash flow requires constant manual spreadsheet updates.

The Startup Financial Model MCP gives you a complete financial roadmap.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

The Founder needs a runway date.

The Investor wants to see risk mitigation.

The Ops Manager is budgeting new hires.

The Department Head needs a sales target.

The honest tradeoffs

Only forecasting revenue.

Trying to model costs manually.

Ignoring time frames.

When It Fits, When It Doesn't

Questions you might have