Use Venture Angel Sizing with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Strategic decision-support for angel investors to optimize portfolio allocation and follow-on reserves.
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.
Complete set · 4 capabilities
The complete Venture Angel Sizing capability set.
These are the exact actions your AI can choose when you ask it to work with Venture Angel Sizing.
01-04
4 capabilities in this set.
Part of 4 available through Venture Angel Sizing.
- 01
Analyze capital efficiency
Measures the relationship between initial deployment and total potential exposure to assess concentration
- 02
Evaluate followon capacity
Analyzes whether the current reserve allocation is sufficient to maintain ownership in winners
- 03
Generate check size distribution
Provides a detailed breakdown of how many checks can be written at various tiers within a user-defined range
- 04
Calculate portfolio structure
Determines the high-level breakdown of how capital is split between initial checks and follow-on reserves
One connector, every AI
Venture Angel Sizing 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Venture Angel Sizing 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.
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Venture Angel Sizing, so you can see the experience inside your AI.
It does not authenticate your account with Venture Angel Sizing. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Venture Angel Sizing Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Yfs07YxkJXBETK3f0ffrZdN9mMuUSiQkRK0GWbei/mcpClaude 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 — Venture Angel Sizing capabilities are ready to use.
{
"mcpServers": {
"venture-angel-investment-sizing-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Yfs07YxkJXBETK3f0ffrZdN9mMuUSiQkRK0GWbei/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? How to give Claude access to Venture Angel Sizing
FAQ
Questions Venture Angel Sizing owners ask.
- 01
How does this capability help with power law returns?
The capability uses evaluate_followon_capacity to ensure that your reserve allocation is sufficient to support the few 'winners' that typically drive power law returns in an angel portfolio.
- 02
Can I model different check size strategies?
Yes, you can use generate_check_size_distribution to see how your initial deployment can be spread across different investment tiers within your minimum and maximum bounds.
- 03
How is concentration risk measured?
Concentration risk is assessed using analyze_capital_efficiency, which compares your initial deployment to your total portfolio size to determine if your strategy is too concentrated or sufficiently diversified.
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