CVM Dados Abertos MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to CVM Dados Abertos through Vinkius, pass the Edge URL in the `mcps` parameter and every CVM Dados Abertos tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CVM Dados Abertos Specialist",
    goal="Help users interact with CVM Dados Abertos effectively",
    backstory=(
        "You are an expert at leveraging CVM Dados Abertos tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in CVM Dados Abertos "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, CVM Dados Abertos becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CVM Dados Abertos tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from CVM Dados Abertos

Why Use CrewAI with the CVM Dados Abertos MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CVM Dados Abertos through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

CVM Dados Abertos + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries CVM Dados Abertos for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries CVM Dados Abertos, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain CVM Dados Abertos tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries CVM Dados Abertos against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for CVM Dados Abertos in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

CVM Dados Abertos + CrewAI FAQ

Common questions about integrating CVM Dados Abertos MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.