Startup Health Score MCP for AI. Stop guessing your company's actual stability score.
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Startup Health Score quantifies how stable a company is and where it needs to work. It scores operations across five key areas—Finance, Product, Growth, Team, and Market—using benchmarks specific to your current funding stage (from Pre-seed through Series B).
You get an actionable score out of 100 that points directly at critical risks and operational strengths, telling you if the business model is actually working.
It takes guesswork out of growth planning.
What your AI can do
Evaluate dimension performance
Scores one operational area based on how its metrics stack up against target values.
Generate comprehensive health report
Takes all the dimension scores and produces one final, diagnostic health score out of 100.
Retrieve stage benchmarks
Finds ideal KPI ranges (like Runway or CAC) for a startup at any specific stage, from pre-seed to Series B.
Find out what ideal metrics look like for your company's current growth stage.
Score one operational area, like Growth or Finance, by comparing your actual data to established targets.
Combine all dimensional scores into a single, diagnostic stability score out of 100.
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Startup Health Score MCP (3 Tools)
Use these three tools to diagnose business stability: first pull benchmarks, then evaluate specific metrics, and finally generate the full diagnostic report.
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 Health Score on VinkiusEvaluate Dimension Performance
Scores one operational area based on how its metrics stack up against target values.
Generate Comprehensive Health Report
Takes all the dimension scores and produces one final, diagnostic health score out...
Retrieve Stage Benchmarks
Finds ideal KPI ranges (like Runway or CAC) for a startup at any specific stage...
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
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Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
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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.
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Make Your AI Do More
Start with Startup Health Score, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
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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.
Manually figuring out if your growth numbers are actually good is exhausting.
Right now, running a quick health check means clicking into five different dashboards: Finance for runway, Product for engagement, Growth for leads, etc. You’re exporting CSVs, finding the latest industry benchmark PDF, and then manually cross-referencing every single number to see if you're above or below target. It takes hours, and frankly, it's prone to mistakes.
With this MCP, that whole process vanishes. The agent handles the comparison automatically. You just tell it your company stage; it pulls the benchmarks and scores everything against them instantly. You get a clear status report without touching a spreadsheet.
Generating a Comprehensive Health Report
Before this, if you completed five separate dimensional reports—one for Finance, one for Product, etc.—you still had to sit down and manually weigh those scores to get one final number. It was guesswork how much weight the 'Team' score should carry versus the 'Market' score.
Now, running `generate_comprehensive_health_report` handles the aggregation. It provides a single, weighted score and diagnoses which dimensions are critically dragging down your overall stability. You get a definitive answer that tells you what to fix first.
What your AI can actually do with this
Figuring out if your company is healthy or just coasting is hard. The numbers on a dashboard—Runway, CAC, Retention Rate—mean nothing unless you know what 'good' looks like for your specific stage. This MCP gives you that context. It evaluates business stability by comparing your actual Key Performance Indicators against industry-standard targets, adjusting those benchmarks based on whether you're in pre-seed or Series B.
You don't have to manually cross-reference dozens of reports; this tool handles the math and the diagnosis automatically. By using Vinkius, you connect this diagnostic engine directly into your workflow, turning scattered data points into one clear health score and a prioritized action plan.
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Here's how it actually works
The bottom line is you input your raw data and get an immediate, actionable score showing exactly where the company needs to focus its resources next.
First, you tell the MCP what stage your company is at (e.g., Seed). This uses retrieve_stage_benchmarks to pull ideal KPI targets for that industry and phase.
Next, you feed it your actual metrics, like current CAC or monthly revenue. The tool then runs these figures against the retrieved benchmarks using evaluate_dimension_performance to get a score for each dimension.
Finally, it gathers all those individual scores—Finance, Product, Growth, etc.—and combines them into one final diagnosis via generate_comprehensive_health_report.
Who is this actually for?
Founders or Ops Leads who are tired of looking at a mountain of disparate dashboards and can't tell if their metrics actually mean anything. This MCP helps you stop guessing what investors want to hear.
Uses the system to run weekly checks, comparing current operational performance against industry benchmarks to predict resource needs.
Runs pre-investor reports using retrieve_stage_benchmarks to quickly model what key metrics should look like at the next funding round.
Generates a comprehensive health report after a quarter's work, pinpointing which dimensions (like Market or Team) are dragging down the overall score.
What Changes When You Connect
Pinpoint weaknesses using evaluate_dimension_performance. Instead of just seeing 'Growth: Low,' you know why it’s low, allowing teams to fix the core problem immediately.
Determine what success looks like at any stage via retrieve_stage_benchmarks. You never have to guess industry standards again; you instantly pull ideal KPIs for your current funding phase.
Get a single summary score from generate_comprehensive_health_report. This replaces the need to look at five separate departmental dashboards and gives leadership one definitive number.
Focus spending. By running benchmarks, managers immediately see if they should cut costs (Finance) or double down on marketing spend (Growth).
Improve investor conversations. Walk into a meeting armed with data that proves you know exactly where your company stands relative to its peers.
See it in action
The CFO needs to prep for a Series B pitch.
Instead of spending days compiling raw financial statements, the agent first calls retrieve_stage_benchmarks for 'Series B.' It immediately shows the ideal Burn Multiple and Runway. Then, it uses these targets in evaluate_dimension_performance to show investors that your actual numbers are only slightly off target, mitigating risk before they even ask.
The Head of Product needs to know if new features are actually sticking.
After launching a feature set, the agent feeds in user adoption metrics. It runs these through evaluate_dimension_performance for the 'Product' dimension. If the score drops low, it signals that even though usage is high, retention might be poor compared to competitors at your stage.
The Founder needs a quick gut check before talking to VCs.
They feed in five major metrics (Finance: 0.8, Product: 0.9, Growth: 0.4, Team: 0.7, Market: 0.6). The agent uses generate_comprehensive_health_report to return a single score of 68/100 and explicitly flags 'Growth' as the critical risk area, telling them exactly where to focus their next quarter.
The honest tradeoffs
Only reviewing departmental reports
A team only checks its own dashboard for metrics (e.g., Sales looks at CAC). They might think they're fine because their internal numbers look good, but the overall business health is declining.
You must run the full process: First, use retrieve_stage_benchmarks to see what 'good' really means right now. Then, feed all department metrics into evaluate_dimension_performance, and finally, let generate_comprehensive_health_report provide the final score for a holistic view.
Ignoring your current funding stage
A pre-seed founder uses KPIs that are appropriate only for a Series C company (e.g., massive team size metrics), leading to an inaccurate, overly optimistic assessment.
Always start by calling retrieve_stage_benchmarks with your exact current stage. This locks the comparison parameters down and keeps your analysis grounded in reality.
Manually averaging scores
A manager tries to calculate a final score by taking an average of five department reports, which misses correlation and weighting between dimensions.
Don't guess the weight. Use generate_comprehensive_health_report. It aggregates all dimensional data into one weighted, diagnostic score that accounts for interdependencies.
When It Fits, When It Doesn't
Use this MCP if your primary goal is quantifiable risk assessment and benchmarking against industry norms. You need to know how far off you are from 'ideal' at any given moment. It excels when dealing with hard metrics like revenue, burn multiple, or retention rate.
Don't use it if your problems are purely qualitative. If the core issue is team morale, poor company culture, or a sudden shift in consumer sentiment that can't be tied to a KPI, this tool won't help—it only measures metrics. For those issues, you need tools focused on survey data or market sentiment analysis instead.
Questions you might have
How does `retrieve_stage_benchmarks` work with my company data? +
It provides the ideal target values for your metrics based on your specific startup stage (e.g., Seed). You then use those targets in other tools, like evaluate_dimension_performance, to compare against your actual numbers.
What does `evaluate_dimension_performance` need as input? +
You must provide two things: 1) Your company's current metric value (e.g., $50 CAC), and 2) The target benchmark pulled from the stage benchmarks tool.
Can `generate_comprehensive_health_report` tell me why I lost score? +
Yes, it doesn't just give you a number. It diagnoses the result, flagging specific dimensions (like Growth) and explaining if low efficiency in CAC or MoM was the primary cause of the decline.
Is this MCP useful for general business planning? +
It's best for quantitative financial and operational checks. If you need help with qualitative issues, like refining your mission statement, another type of tool is better suited.
What happens if I run `retrieve_stage_benchmarks` and my industry isn't standard? +
It will return general benchmarks for that startup stage. You can then input your specific industry data to refine those targets, ensuring the model still provides a helpful starting point.
If I have metrics in different currencies, how should I prepare them before using `evaluate_dimension_performance`? +
You must convert all input metrics into a single common currency first. This ensures that the dimension evaluation calculates performance accurately without mixing foreign exchange rates.
Can I customize which dimensions are included when calling `evaluate_dimension_performance`? +
Yes, you specify the subset of metrics you want evaluated. If you only care about Growth and Finance, for instance, you can limit the scope to those two areas.
Is there a rate limit if I need to run `generate_comprehensive_health_report` multiple times in one day? +
The Vinkius platform manages usage limits for high-volume users. For most professional use cases, you should not hit any internal throttling limits.
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