How to Use the CVM Dados Abertos MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK search specific Brazilian funds using CVM Dados Abertos?

Yes, the agent invokes searchdatasets with your query parameters to find specific investment fund registries. It then uses getdataset to inspect the metadata schema of those specific funds.

Q: Does the CVM Dados Abertos MCP integration support agent handoffs?

Yes, you can route the output of listgroups from a discovery agent to a specialized extraction agent. The second agent then calls getresource to fetch the actual raw data assets.

Query Brazilian financial data directly from your OpenAI Agents SDK workflows with zero manual configuration.

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Connect CVM Dados Abertos MCP to OpenAI Agents SDK

Create your Vinkius account to connect CVM Dados Abertos to OpenAI Agents SDK 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 OpenAI Agents SDK

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Discover CVM Datasets via OpenAI Agents SDK

This MCP Server exposes Brazilian capital markets data directly to your agentic workflows using `list_datasets` and `search_datasets` to locate financial files. Your OpenAI agents discover these tools dynamically at runtime without you writing custom JSON schemas or manual glue code. You pass the server configuration straight into your agent initialization block. The agent then runs search queries against the CVM portal, identifying investment fund groups or corporate filing datasets on its own.

Safe Financial Data Extraction

The server pulls raw metadata for specific financial resources using `get_resource` and `get_dataset` under the strict guardrails of your OpenAI agent runtime. You set validation boundaries on the agent side to verify the returned CVM data structures before your downstream code processes them. If an agent attempts to pull an invalid dataset identifier, the SDK's built-in tracing catches the failure immediately. You view the entire execution path and tool call arguments directly inside your OpenAI developer dashboard.

Segmented Brazilian Market Audits

This toolset maps Brazilian regulatory divisions using `list_groups` and `list_organizations` to categorize corporate entities and investment funds. Specialized OpenAI agents handle different sectors, handing off tasks to one another when a query shifts from fund metadata to corporate structures. Your coordinator agent calls the group listing tool, identifies the target organization, and routes the payload to a sub-agent. This keeps your LLM prompts focused and prevents context window bloat during deep financial audits.

Setup guide

Set up CVM Dados Abertos MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CVM Dados Abertos tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CVM Dados Abertos tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CVM Dados Abertos tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CVM Dados Abertos Agent",
            instructions="You have access to CVM Dados Abertos tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You install the SDK and pass the server's HTTP endpoint to the `MCPServerStreamableHttp` constructor. Wrap this in an async context manager and hand it to your Agent's `mcp_servers` list. The agent automatically registers all six tools, including `list_datasets`.

Yes, the agent invokes `search_datasets` with your query parameters to find specific investment fund registries. It then uses `get_dataset` to inspect the metadata schema of those specific funds.

Yes, you can route the output of `list_groups` from a discovery agent to a specialized extraction agent. The second agent then calls `get_resource` to fetch the actual raw data assets.

You inspect the execution traces directly in your OpenAI developer dashboard. The dashboard records the exact arguments passed to `search_datasets` and the raw JSON returned by the CVM portal.

This MCP integration only queries public Brazilian capital markets metadata and directory structures from the CVM portal. Vinkius runs the server in an isolated, zero-trust sandbox that does not store your query parameters or API payloads.

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