CVM Dados Abertos MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Dataset, Get Resource, List Datasets, and more

Name: CVM Dados Abertos
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CVM Dados Abertos through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The CVM Dados Abertos MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to CVM Dados Abertos "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CVM Dados Abertos?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CVM Dados Abertos MCP Server

Connect your AI agent to the CVM (Comissão de Valores Mobiliários) Open Data portal and explore the Brazilian financial market through natural conversation.

Pydantic AI validates every CVM Dados Abertos tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Dataset Exploration — List all available datasets or search for specific topics like 'investment funds' or 'listed companies'.
Deep Metadata Inspection — Fetch complete metadata for specific datasets, including update frequency, tags, and organizational ownership.
Resource Access — Retrieve direct links and metadata for specific data resources (CSV, XML, or PDF files) within the portal.
Organizational Mapping — List the CVM departments and thematic groups responsible for publishing specific sets of financial data.
Market Research — Quickly find registration data (fi-cad) or daily reports (infodiario) without navigating complex web directories.

The CVM Dados Abertos MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 CVM Dados Abertos tools available for Pydantic AI

When Pydantic AI connects to CVM Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning capital-markets, investment-funds, financial-reports, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get dataset on CVM Dados Abertos

Get complete metadata for a specific dataset

get

Get resource on CVM Dados Abertos

Get metadata for a specific resource

list

List datasets on CVM Dados Abertos

List all datasets available on the CVM portal

list

List groups on CVM Dados Abertos

g., "Fundos de Investimento", "Companhias"). List thematic groups

list

List organizations on CVM Dados Abertos

g., CVM departments) that publish data on the portal. List organizations that publish data

Search datasets on CVM Dados Abertos

Search for datasets matching specific criteria

Connect CVM Dados Abertos to Pydantic AI via MCP

Follow these steps to wire CVM Dados Abertos into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from CVM Dados Abertos with type-safe schemas

Why Use Pydantic AI with the CVM Dados Abertos MCP Server

Pydantic AI provides unique advantages when paired with CVM Dados Abertos through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CVM Dados Abertos integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your CVM Dados Abertos connection logic from agent behavior for testable, maintainable code

CVM Dados Abertos + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CVM Dados Abertos MCP Server delivers measurable value.

Type-safe data pipelines: query CVM Dados Abertos with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CVM Dados Abertos tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CVM Dados Abertos and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CVM Dados Abertos responses and write comprehensive agent tests

Example Prompts for CVM Dados Abertos in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with CVM Dados Abertos immediately.

"List all datasets available on the CVM portal."

"Search for datasets related to 'fundos'."

"Get the metadata for the dataset 'fi-cad'."

Troubleshooting CVM Dados Abertos MCP Server with Pydantic AI

Common issues when connecting CVM Dados Abertos to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CVM Dados Abertos + Pydantic AI FAQ

Common questions about integrating CVM Dados Abertos MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CVM Dados Abertos MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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