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Connect Accelerator Performance Attribution 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 if success came from picking or making winners.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Attribution.

  1. 01

    Calculate selection vs coaching

    Isolates whether the fund's success is due to "picking winners" (Selection) or "making winners" (Coaching)

  2. 02

    Get sector vintage benchmark

    Retrieves the baseline performance for a specific sector and year

  3. 03

    Analyze performance drivers

    Calculates core attribution metrics (Alpha, Selection, and Coaching) to determine the accelerator's total impact

Real work

What teams actually run

01

Reviewing a Fund's Track Record

You can run an analysis to see if the fund's returns were driven by the quality of deals picked or the support provided.

02

Benchmarking a Sector

Need to know how a specific sector performed in 2021? Use the MCP to retrieve the exact historical benchmark return.

03

Comparing Investment Strategies

Run attribution on two different funds to see which strategy—picking winners or coaching winners—yielded better results.

04

Due Diligence

Use the MCP during due diligence to validate a fund's claims of success by calculating its true Alpha.

Automate a task

Put Accelerator Performance Attribution 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 Attribution 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Accelerator Performance Attribution 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

846ms average. Fast in production.

Accelerator Performance Attribution is checked daily against the live service.

Daily averagePeak 1112ms
Oct 3Today
Fastest day
639ms
Slowest day
1112ms
14-day trend
Stable+3%

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 Attribution, so you can see the experience inside your AI.

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

Accelerator Performance Attribution Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_9BENOeRex09IbkhdimMO01QOkkhKOIWb7jz51oYw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Performance Attribution capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-performance-attribution-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9BENOeRex09IbkhdimMO01QOkkhKOIWb7jz51oYw/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 Attribution in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Performance Attribution owners hand off.

This MCP is built for finance professionals who need to move beyond simple return reporting. If you analyze venture capital funds or manage investment portfolios, this capability gives you the specific attribution metrics required to justify investment decisions. It's for people who need to know the 'why' behind the numbers.

  • 01

    Venture Capital Analyst

    Use this MCP to decompose fund performance and compare deal flow quality against sector benchmarks.

  • 02

    Fund Manager

    Run attribution analysis to determine if the fund's success is due to selection or coaching effects.

  • 03

    Investment Strategist

    Get historical sector and vintage data to normalize and contextualize current fund performance.

FAQ

Questions Accelerator Performance Attribution owners ask.

  • 01

    What is Alpha in this context?

    Alpha is a core attribution metric that measures the total impact of the accelerator on the fund's performance. It helps you understand the overall boost the program provided.

  • 02

    Does this MCP tell me if the fund is good?

    It doesn't give a simple yes or no. It gives you the data to decide. You can determine if the success is due to picking winners or making winners, which is a much deeper insight.

  • 03

    Can I compare different sectors?

    Yes. You can use the MCP to retrieve the baseline performance for a specific sector and year, allowing you to normalize and compare different industries accurately.

  • 04

    What kind of data do I need to provide?

    You need to provide the fund's performance metrics, including deal flow, support value, and non-accelerator returns, along with the sector and year for analysis.

  • 05

    Is this MCP only for venture capital?

    While it focuses on VC attribution, the core metrics—Alpha, Selection, and Coaching—are general financial capabilities for decomposing investment returns.

  • 06

    How does this capability calculate the coaching effect?

    The coaching effect is the portion of alpha remaining after the selection effect (sourcing quality) is accounted for, representing the value added through direct support.

  • 07

    Can I normalize results by industry?

    Yes, you can use get_sector_vintage_benchmark to retrieve baseline performance for specific sectors and years to ensure accurate normalization.

  • 08

    What is the difference between selection and coaching?

    Selection refers to the ability to identify high-quality deals, while coaching refers to the performance lift provided through hands-on support and resources.

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