What kind of data does this MCP analyze?

This MCP analyzes investment metrics, including capital efficiency, survival rates, and sector performance. It helps you evaluate portfolio health across various industry verticals.

Can I use this with my existing data?

Yes, the capabilities are designed to analyze your portfolio based on the metrics and data you provide through your AI client's context.

Is this only for venture capital?

While specialized for venture accelerators, the core functions—risk analysis, sector comparison, and thematic identification—apply broadly to any large, diversified investment portfolio.

What is the difference between the capabilities?

One capability checks for over-investment in single areas. Another compares entire industry sectors. The third helps you find the best risk/reward themes for future investments.

How does the engine calculate capital efficiency?

Capital efficiency is determined by the ratio of exit success density relative to the total capital deployed within a specific vertical.

Can I adjust the analysis based on my risk appetite?

Yes, by using identify_best_themes, you can provide a risk tolerance weight between 0 and 1 to prioritize either survival rates or exit volume.

How is concentration risk identified?

The analyze_concentration_risk capability evaluates both capital and entity concentration. If a vertical exceeds established thresholds, it is flagged with a High risk level.

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Connect Accelerator Thematic Performance Engine 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. Pinpoint risk gaps and maximize capital efficiency.

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 concentration risk
Am I too heavily invested in one area, and how vulnerable am I to sector-specific market crashes?
02
Get vertical performance
How is each industry vertical performing according to my investment metrics?
03
Identify best themes
Which specific industry themes are providing the most optimal balance of risk and reward?

Real work

What teams actually run

Quarterly Portfolio Review

You need to present a full picture of the fund's health. Use this MCP to compare sector metrics and analyze concentration risk in one go.

Identifying Next Investment Bets

The team is debating where to allocate seed money. Use this MCP to identify the specific industry themes that offer the highest performance scores.

Stress Testing the Fund

Before a market downturn, you need to know your weakest points. Run the risk analysis capability to see exactly where your portfolio is vulnerable.

Due Diligence on a New Vertical

You are considering entering a new market. Use this MCP to compare its performance metrics against established, stable sectors.

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

876ms average. Fast in production.

Accelerator Performance Engine is checked daily against the live service.

Daily averagePeak 1032ms

Oct 3Today

Fastest day: 684ms
Slowest day: 1032ms
14-day trend: Stable0%

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_T36b0Pt7dwLnvlVND8Oe6lEFnahZRsTU3cxWZnNV/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-thematic-performance-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_T36b0Pt7dwLnvlVND8Oe6lEFnahZRsTU3cxWZnNV/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 finance professionals who manage large, diverse investment portfolios. If you're constantly evaluating where to allocate capital or assessing the health of a venture accelerator's holdings, this capability gives you the necessary data to make sharp calls.

01
Venture Capitalist
Use it to evaluate the overall risk profile of your fund and identify high-potential, under-explored sectors.
02
Portfolio Manager
Run it to compare performance metrics across multiple industry verticals and adjust allocations accordingly.
03
Accelerator Director
Use it to assess the thematic balance of the entire cohort and monitor for over-concentration risk.

FAQ

Questions Accelerator Performance Engine owners ask.

01
What kind of data does this MCP analyze?
This MCP analyzes investment metrics, including capital efficiency, survival rates, and sector performance. It helps you evaluate portfolio health across various industry verticals.
02
Can I use this with my existing data?
Yes, the capabilities are designed to analyze your portfolio based on the metrics and data you provide through your AI client's context.
03
Is this only for venture capital?
While specialized for venture accelerators, the core functions—risk analysis, sector comparison, and thematic identification—apply broadly to any large, diversified investment portfolio.
04
What is the difference between the capabilities?
One capability checks for over-investment in single areas. Another compares entire industry sectors. The third helps you find the best risk/reward themes for future investments.
05
How does the engine calculate capital efficiency?
Capital efficiency is determined by the ratio of exit success density relative to the total capital deployed within a specific vertical.
06
Can I adjust the analysis based on my risk appetite?
Yes, by using identify_best_themes, you can provide a risk tolerance weight between 0 and 1 to prioritize either survival rates or exit volume.
07
How is concentration risk identified?
The analyze_concentration_risk capability evaluates both capital and entity concentration. If a vertical exceeds established thresholds, it is flagged with a High risk level.

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 concentration risk

Get vertical performance

Identify best themes

What teams actually run

Quarterly Portfolio Review

Identifying Next Investment Bets

Stress Testing the Fund

Due Diligence on a New Vertical

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

Accelerator Performance Engine Connector

Claude Desktop

Venture Capitalist

Portfolio Manager

Accelerator Director

What kind of data does this MCP analyze?

Can I use this with my existing data?

Is this only for venture capital?

What is the difference between the capabilities?

How does the engine calculate capital efficiency?

Can I adjust the analysis based on my risk appetite?

How is concentration risk identified?

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