How to Use the DeckMatch MCP in Mastra AI

Build resilient deal flow pipelines with Mastra AI and DeckMatch, handling failed startup data lookups with automatic retries.

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Connect DeckMatch MCP to Mastra AI

Create your Vinkius account to connect DeckMatch to Mastra AI 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 Mastra AI

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Automated Pitch Deck Triage Workflows

Venture capital funnels break when APIs timeout. You can wire the DeckMatch MCP Server into a Mastra workflow that automatically catches failed API calls and tries again with exponential backoff. If `submit_pitch_deck` hits a rate limit, the engine waits and retries. Once successful, the agent moves to the next node, pulling `get_deck_analysis` and routing the deal to the right partner based on the output.

Conditional Investment Routing

Not every startup needs a full partner review. Your agent can branch its logic based on the MCP tool results from `list_submission_tags` and decide exactly how much processing power to spend. Seed stage SaaS deals might trigger `generate_investment_memo` automatically. Hardware deals outside your thesis get tagged via `tag_submission` and routed to a rejection queue without wasting API credits.

Human-in-the-Loop Vetting with Mastra AI

Deleting records requires oversight. You can configure requireToolApproval so your agent pauses before executing `delete_submission` on a passed-on deal. The pipeline halts and pings a Slack channel. An analyst clicks approve, and the agent resumes the workflow, pulling the final `get_submission_audit` to log the interaction before closing the loop.

Setup guide

Set up DeckMatch MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All DeckMatch tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "deckmatch-mcp-client",
  servers: {
    "deckmatch-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DeckMatch Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DeckMatch tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DeckMatch transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeckMatch. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DeckMatch MCP in Mastra AI

Initialize a new MCP client with your Vinkius URL and spread `mcpClient.listTools()` into your Agent tools array. Mastra auto-detects whether to use Streamable HTTP or SSE transport.

The framework handles this natively. You configure exponential backoff on the workflow node running `search_startups_semantically`, and it will retry the lookup if the external database times out.

No, the client automatically negotiates the transport protocol. You just provide the endpoint URL and the engine figures out the rest.

Create a workflow branch that evaluates the output of the triage step. If the startup fits your thesis, the next node executes the memo generation tool.

Cap tables and founder contact info only exist inside a zero-trust execution envelope. Vinkius tears down the entire container the millisecond your workflow node finishes its operation.

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