How to Use the DeckMatch MCP in Cline

Q: Can I use DeckMatch in Cline to manage my tags?

Yes, Cline can fetch your existing categories using listsubmissiontags and then use tagsubmission to organize your pitch decks based on the criteria you define in your prompt.

Give Cline the power to pull DeckMatch deal flow data, build custom investor dashboards, and automate pitch deck analysis.

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Connect DeckMatch MCP to Cline

Create your Vinkius account to connect DeckMatch to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DeckMatch with Cline

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Perplexity

Build live investor tools with this MCP Server

Cline can build an entire internal web app using your live venture data. The agent writes the frontend components, calls `list_submissions` to fetch your active pipeline, and wires the data directly into your local UI. If a component breaks during development, Cline runs tests, identifies the bug, and updates the code. It uses `get_submission_details` to ensure the detailed view displays every single data point correctly.

Let Cline audit your pitch deck database

Keeping your database clean is tedious work. Tell Cline to clean up your tags, and it will fetch the current taxonomy using `list_submission_tags` and apply correct labels with `tag_submission`. This MCP Server keeps your local tracking files up to date. The agent reads the audit logs via `get_submission_audit` to find who modified a record, then updates your local files to match the remote state.

Generate markdown memos directly in your workspace

Stop writing venture memos from scratch. Ask Cline to draft a memo, and it will call `generate_investment_memo` and write the output directly into a new markdown file in your VS Code directory. It will then call `get_deck_analysis` to pull the specific AI triage metrics and append them to the top of your document, saving you from manual copy-paste errors.

Setup guide

Set up DeckMatch MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type deckmatch-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest DeckMatch refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "deckmatch-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about DeckMatch MCP in Cline

Yes. Cline can write scripts or build UI components that call `list_submissions` and `get_deck_analysis`, testing the integration locally in your VS Code workspace to ensure everything works.

Click the MCP icon in the Cline sidebar and use the Remote Servers tab to add the server URL. You can also edit your cline_mcp_settings.json file. Once added, the MCP Server connects instantly.

Yes, Cline can fetch your existing categories using `list_submission_tags` and then use `tag_submission` to organize your pitch decks based on the criteria you define in your prompt.

You ask Cline to search for startups in a specific niche, and it runs `search_startups_semantically` behind the scenes, parsing the response to show you a ranked list of matches.

All pitch decks and submission data are handled via a zero-trust Vinkius proxy. Cline never stores your raw files locally, and the data is processed in ephemeral sandboxes that wipe all temporary files immediately after processing.

Use it with your favorite AI tools

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