How to Use the CVM Dados Abertos MCP in Mastra AI

Q: What's the best way to search for company data from CVM Dados Abertos with a Mastra AI agent?

Use the searchdatasets tool. Provide it with the company name as a query. Your agent can then process the list of matching datasets to find the exact information it needs.

Build resilient data workflows for Brazilian market data with Mastra AI. Automatic retries and conditional logic for CVM data.

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Connect CVM Dados Abertos MCP to Mastra AI

Create your Vinkius account to connect CVM Dados Abertos 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 CVM Dados Abertos with Mastra AI

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Fault-Tolerant Data Pipelines

Use the `search_datasets` tool inside a Mastra AI workflow to pull financial reports from the CVM. Mastra's engine handles the request, and if the CVM portal is slow or fails, it automatically retries with backoff. You don't have to write any retry logic yourself. Your workflow can then branch based on the result. If a dataset is found, the agent proceeds to the next step. If not, it can trigger an alert in Slack or send an email. This MCP Server becomes a reliable source for your automated processes.

Chain Tools for Automated Reports

Build agents that perform multi-step data gathering. Your Mastra AI agent can start with `list_groups` to see all investment fund categories, then loop through them using `search_datasets` to find specific funds. For each result, it can call `get_dataset` to get the metadata. Mastra manages the state between these calls, letting you build a process that generates a complete report without any manual work. It turns a series of simple tool calls into a single, cohesive data collection workflow.

Monitor CVM Data with a Mastra AI Agent

This MCP connection gives your agent the tools to watch the CVM portal for changes. Schedule a workflow to run daily that uses `list_datasets` and compares the results against a list you've stored in your own database. If your agent finds a new dataset, it can use `get_dataset` to pull the details and trigger another part of your workflow. It's a set-it-and-forget-it way to monitor for new company filings or fund reports.

Setup guide

Set up CVM Dados Abertos 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 CVM Dados Abertos 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: "cvm-dados-abertos-mcp-client",
  servers: {
    "cvm-dados-abertos-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent CVM Dados Abertos 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 CVM Dados Abertos. 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 CVM Dados Abertos MCP in Mastra AI

You don't have to. Mastra AI's workflow engine has automatic retries with exponential backoff built in. If a call to this MCP server fails, Mastra will handle it for you.

Yes. You can chain tools together to create complex workflows. For example, use `list_groups` to find a category, `search_datasets` to find a specific fund, and `get_dataset` to pull its details.

Use the `search_datasets` tool. Provide it with the company name as a query. Your agent can then process the list of matching datasets to find the exact information it needs.

Absolutely. You can configure your Mastra AI agent to require human approval before it acts on data found on the CVM portal. This is useful for critical data ingestion workflows.

The server only accesses public Brazilian capital markets data. Each workflow you run is isolated in its own Vinkius sandbox. The ephemeral runtime ensures no data from your workflow persists after it completes.

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