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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use DeckMatch with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Match startup pitch decks with investors using AI that analyzes fit, tracks outreach, and surfaces the right funding connections.

Included with plan

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

Complete set · 12 capabilities

The complete DeckMatch capability set.

These are the exact actions your AI can choose when you ask it to work with DeckMatch.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through DeckMatch.

  1. 01

    Get API status

    Get connectivity info

  2. 02

    List submissions

    List all analyzed decks

  3. 03

    List submission tags

    List available tags

  4. 04

    Submit pitch deck

    Submit a deck for AI analysis

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through DeckMatch.

  1. 05

    Generate investment memo

    Create investment memo

  2. 06

    Get submission audit

    Get audit trail

  3. 07

    Get submission details

    Get full submission info

  4. 08

    List enrichment sources

    Get data sources

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through DeckMatch.

  1. 09

    Delete submission

    Remove pitch deck

  2. 10

    Get deck analysis

    Get AI triage results

  3. 11

    Search startups semantically

    Find similar startups

  4. 12

    Tag submission

    Label a submission

Observed, not estimated

830ms average. Fast in production.

DeckMatch is checked daily against the live service.

Daily averagePeak 1023ms
Aug 20Today
Fastest day
704ms
Slowest day
1023ms
14-day trend
Slowing+25%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 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 DeckMatch, so you can see the experience inside your AI.

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

DeckMatch Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Nup7a9iBEEXveVorWbmtpbJ1ECda9zHWUApml3pE/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 — DeckMatch capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deckmatch-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Nup7a9iBEEXveVorWbmtpbJ1ECda9zHWUApml3pE/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

FAQ

Questions DeckMatch owners ask.

  • 01

    How do I find my DeckMatch API Key?

    Log in to your DeckMatch or AlphaLens dashboard and navigate to the Settings or API section to generate your secret key.

  • 02

    What deck formats are supported for analysis?

    You can provide URLs for PDF and PPTX files, as well as direct view links from platforms like DocSend.

  • 03

    How does semantic startup search work?

    The search_startups_semantically capability uses the AlphaLens engine to match your natural language query against a massive database of startups and their strategic metadata.

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