What kind of data does this MCP need to run?

The MCP requires your pitch deck's iteration history and the associated feedback notes. It uses this data to calculate improvement rates and assess impact.

Is this MCP only for early-stage startups?

No. While it's useful for early-stage founders, it helps any company needing to prove measurable improvement and track the effectiveness of external feedback.

How do I know if my feedback is actually helping?

You use the evaluate_feedback_impact capability. It analyzes your notes to show if there is a strong correlation between the advice given and increased investor interest.

What does 'optimal feedback cadence' mean?

It means the ideal timing and frequency for receiving feedback. The MCP calculates this to prevent you from doing too many or too few review cycles.

Does this MCP work with all AI clients?

Yes. Because it's hosted on Vinkius, you connect it once from any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

How do I track my deck's improvement speed?

You can use the analyze_improvement_velocity capability by providing your iteration data and implementation rate.

Can I find out when to stop iterating on my pitch?

Yes, the find_optimal_feedback_cadence capability identifies the diminishing returns point where additional feedback provides minimal value.

How is feedback effectiveness measured?

The evaluate_feedback_impact capability correlates the implementation rate of feedback with subsequent changes in investor interest.

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Connect Accelerator Pitch Deck Feedback Quality 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. Know exactly when and how to iterate for investor success.

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 Pitch Feedback.

01
Find optimal feedback cadence
02
Analyze improvement velocity
03
Evaluate feedback impact

Real work

What teams actually run

Pre-Seed Pitch Review

Before a major pitch, run the MCP to see if your current feedback cycle is strong enough to secure the next round.

Optimizing Advisor Time

Use it to determine the optimal number of feedback sessions, ensuring you don't waste time on redundant reviews.

Comparing Pitch Versions

Track the improvement velocity between your V1 and V5 decks to show tangible growth to potential investors.

Post-Feedback Audit

After a major pitch meeting, run the MCP to confirm if the feedback received actually correlates with increased interest.

Automate a task

Put Accelerator Pitch Feedback 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 Pitch Feedback 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 Pitch Feedback 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

855ms average. Fast in production.

Accelerator Pitch Feedback is checked daily against the live service.

Daily averagePeak 1154ms

Oct 3Today

Fastest day: 671ms
Slowest day: 1154ms
14-day trend: Slowing+20%

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 Pitch Feedback, so you can see the experience inside your AI.

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

Accelerator Pitch Feedback Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/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 Pitch Feedback capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-pitch-deck-feedback-quality-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/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 Pitch Feedback in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Pitch Feedback owners hand off.

This MCP is built for startup founders, product managers, and venture analysts. If your success depends on rapid, measurable improvement, this capability gives you the data to prove your progress. You hand off your pitch deck history and feedback notes, and the MCP gives you actionable metrics.

01
Startup Founder
Use it to prove to investors that your product and pitch are iterating efficiently.
02
Product Manager
Use it to guide your team on which features need the most refinement based on feedback.
03
Venture Analyst
Use it to benchmark the quality of pitches and the effectiveness of early-stage feedback.

FAQ

Questions Accelerator Pitch Feedback owners ask.

01
What kind of data does this MCP need to run?
The MCP requires your pitch deck's iteration history and the associated feedback notes. It uses this data to calculate improvement rates and assess impact.
02
Is this MCP only for early-stage startups?
No. While it's useful for early-stage founders, it helps any company needing to prove measurable improvement and track the effectiveness of external feedback.
03
How do I know if my feedback is actually helping?
You use the evaluate_feedback_impact capability. It analyzes your notes to show if there is a strong correlation between the advice given and increased investor interest.
04
What does 'optimal feedback cadence' mean?
It means the ideal timing and frequency for receiving feedback. The MCP calculates this to prevent you from doing too many or too few review cycles.
05
Does this MCP work with all AI clients?
Yes. Because it's hosted on Vinkius, you connect it once from any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
06
How do I track my deck's improvement speed?
You can use the analyze_improvement_velocity capability by providing your iteration data and implementation rate.
07
Can I find out when to stop iterating on my pitch?
Yes, the find_optimal_feedback_cadence capability identifies the diminishing returns point where additional feedback provides minimal value.
08
How is feedback effectiveness measured?
The evaluate_feedback_impact capability correlates the implementation rate of feedback with subsequent changes in investor interest.

Explore

More in Analytics

Connect Accelerator Pitch Feedback 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

Find optimal feedback cadence

Analyze improvement velocity

Evaluate feedback impact

What teams actually run

Pre-Seed Pitch Review

Optimizing Advisor Time

Comparing Pitch Versions

Post-Feedback Audit

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

Accelerator Pitch Feedback Connector

Claude Desktop

Startup Founder

Product Manager

Venture Analyst

What kind of data does this MCP need to run?

Is this MCP only for early-stage startups?

How do I know if my feedback is actually helping?

What does 'optimal feedback cadence' mean?

Does this MCP work with all AI clients?

How do I track my deck's improvement speed?

Can I find out when to stop iterating on my pitch?

How is feedback effectiveness measured?

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