Accelerator Cohort Optimizer Connector for AI agents.
3 live capabilities
Build balanced startup cohorts with predictive synergy modeling
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Why people use Accelerator Cohort Optimizer
Stop guessing with Accelerator Cohort Optimizer startup selection
With this MCP, that manual checking disappears. You give your agent your list of applicants and your goals, and it handles the math. You get a perfectly balanced cohort that meets your exact sector and diversity requirements in seconds.
What Vinkius changes
Get the Accelerator Cohort Optimizer answer you need in the AI client you already use.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,800+ Connectors
- Real-world use case 01
Fixing an unbalanced cohort
A manager realizes their current shortlist is 80% SaaS companies.
- Real-world use case 02
Predicting founder collaboration
An incubator director wants to know if their new cohort will actually help each other.
- Real-world use case 03
Validating diversity commitments
A VC firm needs to prove their new accelerator meets specific diversity benchmarks.
Complete set · 3capabilities
The complete Accelerator Cohort Optimizer capability set.
These are the exact actions your AI can choose when you ask it to work with Accelerator Cohort Optimizer.
01—03
3 capabilities in this set.
Part of 3 available through Accelerator Cohort Optimizer.
- 01 Capability
Calculate optimal composition
Finds the best group of companies based on your specific diversity and sector requirements. It picks the most balanced set from your applicant pool.
- 02 Capability
Evaluate cohort health
Generates a diagnostic report on a selected group. It identifies risks like high competition or low diversity within the cohort.
- 03 Capability
Simulate synergy impact
Predicts how much peer learning and collaboration will happen between companies. It identifies potential collaborative opportunities between different sectors.
Set up in minutes
One URL. Then ask Accelerator Cohort Optimizer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Accelerator Cohort Optimizer 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_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Accelerator Cohort Optimizer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer URL.
- Step 03
Save and start
Save the connection and enable Accelerator Cohort Optimizer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-cohort-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer
Open Agent mode in chat and ask: "Using Accelerator Cohort Optimizer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-cohort-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer
Ask Copilot: "Using Accelerator Cohort Optimizer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-cohort-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer
Open Cascade and ask: "Using Accelerator Cohort Optimizer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-cohort-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer
Ask Cline: "Using Accelerator Cohort Optimizer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add accelerator-cohort-optimizer --transport http "https://edge.vinkius.com/vk_preview_wgnVXQSIIiuKXGYEG9LPVuLs3tHzdGBgE8IvMxQM/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 Cohort Optimizer
Ask Claude: "Using Accelerator Cohort Optimizer, show me...". 3 tools are ready
Build the capability set
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Pomodoro Study Planner
Optimize your study sessions with adaptive Pomodoro scheduling based on energy and subject type.
Bring your own AI
Change the model, client or framework. Keep Accelerator Cohort Optimizer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Accelerator Cohort Optimizer.
The practical details behind the request, access and result.
How can I use the Accelerator Cohort Optimizer to pick better startups?
You can use it to mathematically balance your cohort. Instead of picking companies one by one, you provide a list and let the capability find the most diverse and sector-balanced group possible.
Can the Accelerator Cohort Optimizer help with diversity goals?
Yes. You can set specific diversity constraints, and the capability will optimize the selection to ensure your cohort meets those specific demographic or background requirements.
Will the Accelerator Cohort Optimizer predict if founders will collaborate?
Yes, it includes a simulation feature that predicts peer learning potential and identifies specific areas where different companies in the cohort can collaborate.
Is the Accelerator Cohort Optimizer useful for small incubators?
Absolutely. Even with smaller groups, it helps ensure you aren't accidentally picking too many competitors and that your limited slots are filled with a high-synergy mix.
How does the Accelerator Cohort Optimizer handle industry competition?
It analyzes the sectors of all applicants to ensure you don't over-index on a single industry, which helps prevent excessive competition within the cohort.
How do I select the best companies for my cohort?
You can use the calculate_optimal_composition capability, providing your applicant pool and desired constraints like diversity goals and sector balance.
Can I check if a cohort is well-balanced?
Yes, the evaluate_cohort_health capability provides a diagnostic report including diversity scores and competition risk.
How is synergy measured?
The simulate_synergy_impact capability estimates peer learning potential and estimated collaborations based on company stages and sectors.
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