How to Use the Intrinio MCP in Mastra AI

Build resilient financial workflows with Mastra AI and the Intrinio MCP Server.

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…and any MCP-compatible client

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Connect Intrinio MCP to Mastra AI

Create your Vinkius account to connect Intrinio 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 Intrinio with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated earnings monitoring with Mastra AI

Create agents that watch for market-moving events. Use `get_earnings_releases` to trigger downstream logic automatically when a new report drops. If the initial request fails, Mastra AI handles the retry logic. This ensures your data pipeline remains active without manual intervention.

Conditional financial logic

Build complex agents that branch based on company performance. Use `get_financials` to pull data and create rules that notify an admin if specific metrics cross a threshold. This keeps your operations running efficiently. Your agents can handle the heavy lifting while you focus on the strategy.

Reliable data retrieval for Mastra AI workflows

Standardize your data ingestion using `list_companies` and `get_security`. These tools ensure your agents always have the correct identifiers before they execute a trade or analysis. Everything is typed, so your Mastra AI workflows stay predictable. It’s a clean way to manage multi-step processes that depend on accurate market information.

Setup guide

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

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

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

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Why Choose Vinkius

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place for every integration

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Common questions about Intrinio MCP in Mastra AI

Import the MCP client into your Mastra project and point it to the server URL. You can then list the tools and spread them into your agent configuration for immediate use.

Yes, use requireToolApproval in your agent definition. This forces the agent to pause and wait for your input before it executes an action based on Intrinio data.

Absolutely, the workflow engine manages retries with exponential backoff. If an Intrinio call hits a temporary network error, the agent waits and tries again automatically.

The framework catches exceptions from the MCP Server. You can define custom error handlers in your workflow to notify your team or switch to a different data path.

The server operates in a zero-trust sandbox. Only the specific ticker-based financial data you authorize enters the agent memory, protecting your private research from external exposure.

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