Accelerator Pitch Feedback Connector for AI agents.
3 live capabilities
Measure pitch deck iteration velocity and feedback effectiveness
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Why people use Accelerator Pitch Feedback
Stop guessing with Accelerator Pitch Deck Feedback Quality
With this MCP, you treat your pitch deck like a data-driven product. Instead of just 'feeling' like the deck is better, you use analyze_improvement_velocity to see the actual rate of quality increase. You stop the madness of endless tweaking by using find_optimal_feedback_cadence to find the exact moment when more feedback becomes a waste of time. You get a clear, mathematical view of your progress.
What Vinkius changes
You stop guessing if your pitch deck is getting better and start knowing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,800+ Connectors
- Real-world use case 01
Ending the endless revision loop
A founder feels stuck in a cycle of constant changes.
- Real-world use case 02
Validating pitch effectiveness
A startup team isn't sure if their new slides are working.
- Real-world use case 03
Tracking cohort progress
An accelerator manager uses analyze_improvement_velocity to monitor how quickly different startup teams are maturing their pitches.
Complete set · 3capabilities
The complete Accelerator Pitch Feedback capability set.
These are the exact actions your AI can choose when you ask it to work with Accelerator Pitch Feedback.
01—03
3 capabilities in this set.
Part of 3 available through Accelerator Pitch Feedback.
- 01 Capability
Analyze improvement velocity
Calculates how quickly your pitch deck quality is rising through successive versions. This helps you see if your iterations are actually making progress.
- 02 Capability
Evaluate feedback impact
Checks if the feedback you've implemented is successfully driving higher investor interest. It links your deck changes to real-world engagement.
- 03 Capability
Find optimal feedback cadence
Determines the ideal number of feedback loops to run before you hit diminishing returns. It prevents you from over-iterating on a finished product.
Set up in minutes
One URL. Then ask Accelerator Pitch Feedback to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Accelerator Pitch Feedback from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Accelerator Pitch Feedback, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Accelerator Pitch Feedback for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Accelerator Pitch Feedback URL.
- Step 03
Save and start
Save the connection and enable Accelerator Pitch Feedback in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-pitch-deck-feedback-quality": {
"url": "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Accelerator Pitch Feedback
Open Agent mode in chat and ask: "Using Accelerator Pitch Feedback, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-pitch-deck-feedback-quality": {
"url": "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Accelerator Pitch Feedback
Ask Copilot: "Using Accelerator Pitch Feedback, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-pitch-deck-feedback-quality": {
"url": "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Accelerator Pitch Feedback
Open Cascade and ask: "Using Accelerator Pitch Feedback, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-pitch-deck-feedback-quality": {
"url": "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Accelerator Pitch Feedback
Ask Cline: "Using Accelerator Pitch Feedback, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add accelerator-pitch-deck-feedback-quality --transport http "https://edge.vinkius.com/vk_preview_4pyObtGk6CLU1mkbZOCCrZhA8UdJBWfdJW0PrVLQ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Accelerator Pitch Feedback
Ask Claude: "Using Accelerator Pitch Feedback, show me...". 3 tools are ready
Where the request belongs
Work Accelerator Pitch Feedback can move forward.
Founders and accelerator program managers who need to move fast without losing focus on what actually wins over investors.
Startup Founder
Uses this to stop wasting weeks on deck revisions that don't improve investor engagement.
Accelerator Program Manager
Uses this to track the progress of multiple cohorts and ensure they are hitting quality milestones.
Venture Capital Associate
Uses this to evaluate how seriously and effectively a startup is iterating on their narrative.
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Bring your own AI
Change the model, client or framework. Keep Accelerator Pitch Feedback connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Void -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Accelerator Pitch Feedback.
The practical details behind the request, access and result.
How can the Accelerator Pitch Deck Feedback Quality MCP help my startup?
It turns your pitch deck revisions into measurable data. You'll know exactly how fast your deck is improving and when you've done enough work to stop editing and start pitching.
Can I use this MCP to see if my feedback sessions are a waste of time?
Yes. You can use the capabilities to find the optimal number of feedback loops, helping you identify the exact point where more feedback stops adding value to your deck.
Does the Accelerator Pitch Deck Feedback Quality MCP track investor interest?
Yes, it allows you to evaluate whether the changes you make to your deck are actually resulting in more interest from potential investors.
How does this MCP work with my existing AI client?
You connect this MCP through Vinkius to your preferred AI client like Claude or Cursor. Once connected, your agent can run analysis on your deck's progress directly.
Is this capability useful for accelerator programs?
Absolutely. Program managers can use it to track the improvement velocity of all participating startups, ensuring they are making meaningful progress toward investor readiness.
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.
One connection away
Give your agent a direct line to Accelerator Pitch Feedback.
Connect Accelerator Pitch Feedback once. Keep it beside 6,800+ managed Connectors when the next task needs more.
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