How to Use the DecileHub MCP in Mastra AI

Q: How do I configure DecileHub with Mastra AI?

Run npm install @mastra/mcp@latest and instantiate the MCP client with your Vinkius server URL. Call listTools() and spread them into your agent configuration.

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Connect DecileHub MCP to Mastra AI

Create your Vinkius account to connect DecileHub 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 DecileHub with Mastra AI

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Perplexity

Automate fund performance pipelines

`get_fund_performance` and `list_companies_by_fund` power automated reporting workflows inside Mastra AI. You build a pipeline that extracts quarterly returns, checks them against historical baselines, and generates a summary. If the API times out, the framework's exponential backoff kicks in and tries again automatically. Deploying this setup takes one command to any cloud provider. Your agent handles the complex routing, deciding whether to pull aggregate fund metrics or drill down into specific portfolio assets.

Route LP data with Mastra AI

`get_investor` and `list_investors` feed directly into your conditional logic branches. An agent checks an LP's commitment status, and if they need a capital call, it routes the task to a notification system. This turns static private equity databases into active event drivers. You initialize this by passing the Vinkius URL into `new MCPClient()`. The framework auto-detects the streamable HTTP transport and spreads the available operations into your agent's toolkit.

Track regulatory filings reliably

`list_filings` and `get_filing_report` give your workflows a way to monitor compliance changes without human oversight. The agent scans new documents, extracts key clauses, and requires human-in-the-loop approval before sending alerts to the legal team. Using the `requireToolApproval` flag ensures sensitive regulatory summaries get reviewed. You get the speed of automated parsing with the safety of manual sign-off through this MCP Server.

Setup guide

Set up DecileHub 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 DecileHub 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: "decilehub-mcp-client",
  servers: {
    "decilehub-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent DecileHub 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 Decile Hub. 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 DecileHub MCP in Mastra AI

Run `npm install @mastra/mcp@latest` and instantiate the MCP client with your Vinkius server URL. Call `listTools()` and spread them into your agent configuration.

The framework automatically applies exponential backoff if a fund performance request drops. You don't have to write custom retry logic for the API calls.

Set up a workflow that triggers at the end of the quarter. The agent pulls investor data, runs it through a conditional branch to format the email, and sends the update.

You can set specific tools to require human approval. This works well before sending sensitive portfolio valuation updates to external parties.

Vinkius processes your capital calls and LP details in an ephemeral environment. The zero-trust architecture means no residual data exists after the workflow completes its execution.

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