What kind of data does this MCP analyze?

It analyzes key financial metrics for investment cohorts, including DPI (Distributions to Paid-In Capital), TVPI (Total Value to Paid-In Capital), and IRR (Internal Rate of Return). You must provide these metrics in your prompt.

Is this capability for all types of funds?

No. This MCP is specialized for venture capital and accelerator funds that track investments by vintage year. It's designed for evaluating investment cohorts, not general corporate finance.

Do I need to connect a database?

No. You don't need to manage credentials or connect a database. You simply provide the specific data points (like the year, DPI, and TVPI) directly in your prompt to the MCP.

What does 'normalized health score' mean?

It means the MCP calculates a single, standardized number that summarizes the overall financial health of the cohort. This score lets you quickly compare different years on a single scale.

Can I use this with my custom AI agent?

Yes. As long as your agent is MCP-compatible, you can connect it through Vinkius and access this full suite of analytical capabilities.

What is a vintage year performance score?

It is a normalized index that weights realized returns (DPI), unrealized potential (TVPI), and time-adjusted efficiency (IRR) to provide a single health metric for the cohort.

How does the capability compare my fund to the market?

By using compare_to_benchmarks, the capability evaluates your cohort's TVPI and IRR against hardcoded historical benchmark constants for that specific vintage year.

Can I determine if my cohort is in the early or mature stage?

Yes, analyze_cohort_maturity assesses the lifecycle status based on the ratio of exits to companies funded and the current DPI.

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Connect Accelerator Vintage Year Performance to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get instant health metrics for your investment cohorts.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Performance Engine.

01
Analyze cohort maturity
Use this capability to assess the lifecycle status and liquidity profile of an accelerator cohort. It tells you where the cohort stands relative to its expected development stage.
02
Compare to benchmarks
This capability evaluates how a specific vintage cohort performs relative to standard market expectations. You can see if it's above or below the historical average.
03
Get vintage performance score
Get a single, normalized health score for a specific investment cohort. This gives you one quick metric to gauge the overall health of the vintage year.

Real work

What teams actually run

Evaluating a New Fund

Before investing, run the performance score to see how a new vintage year stacks up against historical averages.

Assessing Cohort Risk

Use the maturity analysis to identify cohorts that are stalled or have low liquidity, signaling potential risk.

Quarterly Performance Review

Run benchmark comparisons to generate reports showing exactly where your portfolio stands relative to the industry standard.

Identifying Next Milestones

Determine the expected next phase of a cohort, helping you plan follow-on capital or exit strategies.

Automate a task

Put Accelerator Performance Engine to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Accelerator Performance Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Accelerator Performance Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

882ms average. Fast in production.

Accelerator Performance Engine is checked daily against the live service.

Daily averagePeak 1085ms

Oct 3Today

Fastest day: 696ms
Slowest day: 1085ms
14-day trend: Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Accelerator Performance Engine, so you can see the experience inside your AI.

It does not authenticate your account with Accelerator Performance Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Accelerator Performance Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_tiTkZIrCxh1a0wtkQW9nqeU6sOAGLT00qzRNnQoy/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Accelerator Performance Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-vintage-year-performance-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tiTkZIrCxh1a0wtkQW9nqeU6sOAGLT00qzRNnQoy/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Accelerator Performance Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Performance Engine owners hand off.

This MCP is built for financial professionals who manage or analyze investment funds. If you work with venture capital, accelerator funds, or private equity, this capability gives you immediate access to complex performance modeling.

01
Venture Capital Analyst
Use it to quickly score and compare different vintage years for due diligence.
02
Fund Manager
Run maturity analysis to determine when a cohort is ready for the next investment phase.
03
Portfolio Manager
Benchmark current holdings against historical market data to spot underperforming assets.

FAQ

Questions Accelerator Performance Engine owners ask.

01
What kind of data does this MCP analyze?
It analyzes key financial metrics for investment cohorts, including DPI (Distributions to Paid-In Capital), TVPI (Total Value to Paid-In Capital), and IRR (Internal Rate of Return). You must provide these metrics in your prompt.
02
Is this capability for all types of funds?
No. This MCP is specialized for venture capital and accelerator funds that track investments by vintage year. It's designed for evaluating investment cohorts, not general corporate finance.
03
Do I need to connect a database?
No. You don't need to manage credentials or connect a database. You simply provide the specific data points (like the year, DPI, and TVPI) directly in your prompt to the MCP.
04
What does 'normalized health score' mean?
It means the MCP calculates a single, standardized number that summarizes the overall financial health of the cohort. This score lets you quickly compare different years on a single scale.
05
Can I use this with my custom AI agent?
Yes. As long as your agent is MCP-compatible, you can connect it through Vinkius and access this full suite of analytical capabilities.
06
What is a vintage year performance score?
It is a normalized index that weights realized returns (DPI), unrealized potential (TVPI), and time-adjusted efficiency (IRR) to provide a single health metric for the cohort.
07
How does the capability compare my fund to the market?
By using compare_to_benchmarks, the capability evaluates your cohort's TVPI and IRR against hardcoded historical benchmark constants for that specific vintage year.
08
Can I determine if my cohort is in the early or mature stage?
Yes, analyze_cohort_maturity assesses the lifecycle status based on the ratio of exits to companies funded and the current DPI.

Explore

More in Finance

Connect Accelerator Performance Engine to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze cohort maturity

Compare to benchmarks

Get vintage performance score

What teams actually run

Evaluating a New Fund

Assessing Cohort Risk

Quarterly Performance Review

Identifying Next Milestones

Building your own app? The connector is yours to use.

Accelerator Performance Engine Connector

Claude Desktop

Venture Capital Analyst

Fund Manager

Portfolio Manager

What kind of data does this MCP analyze?

Is this capability for all types of funds?

Do I need to connect a database?

What does 'normalized health score' mean?

Can I use this with my custom AI agent?

What is a vintage year performance score?

How does the capability compare my fund to the market?

Can I determine if my cohort is in the early or mature stage?

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