How to Use the BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in CrewAI

Q: How do I give a CrewAI agent access to BCB Economia — PIB, Dívida, Reservas, PIX e SGS?

Pass the Vinkius HTTP endpoint URL directly into the mcps parameter when defining your Agent. The framework will automatically fetch the available Central Bank tools and make them available to that specific role.

Q: Can I restrict which BCB Economia — PIB, Dívida, Reservas, PIX e SGS tools my CrewAI agents can see?

Yes. Import MCPServerHTTP from crewai.mcp and use the toolfilter parameter. This allows you to give an analyst agent access to PIX statistics while hiding the broader SGS time series tool.

Deploy autonomous economic research teams with CrewAI to analyze Brazilian markets.

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Setup BCB Economia — PIB, Dívida, Reservas, PIX e SGS with CrewAI

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Assign Macroeconomic Researchers

`get_pib`, `get_desemprego`, and `get_divida_pib` act as the primary data sources for your economic research agents. You configure one agent to pull the monthly IBC-Br, unemployment rate, and public debt figures. That agent writes a summary and passes it to an analyst agent who compares the metrics against historical trends. This multi-agent setup removes the human from the data gathering process. You just pass the Vinkius URL into the `mcps` array of your researcher agent. The CrewAI framework handles the tool execution and memory sharing between the different roles in your crew.

Track Liquidity and Payments Autonomously

`get_pix_estatisticas` and `get_reservas` feed direct transaction volumes and USD reserve levels into your autonomous operations. A monitor agent can run on a schedule, checking these endpoints to watch for sudden shifts in domestic payment velocity or international liquidity. If it spots a red flag, it escalates to a moderator agent. Hierarchical execution makes this incredibly powerful. The manager agent decides which subordinate needs to query the MCP Server based on the specific economic question asked. The tools execute, the data returns, and the crew synthesizes a complete financial briefing.

Filter 20,000+ Series for CrewAI Teams

`get_serie_bcb` and `get_balanca_comercial` open up the entire Central Bank database to your Python scripts. Because large toolsets can confuse specialized agents, you can use `MCPServerHTTP` with a `tool_filter`. This lets you expose only the specific SGS lookup tool to a dedicated data-mining agent while keeping the rest of the crew focused on analysis. You define the roles, and the agents figure out how to use the endpoints. They collaborate to pull commodity export data, check the Selic rate, and format the output into a final markdown report. The entire pipeline runs without human intervention.

Setup guide

Set up BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke BCB Economia — PIB, Dívida, Reservas, PIX e SGS tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="BCB Economia — PIB, Dívida, Reservas, PIX e SGS Analyst",
    goal="Access and analyze BCB Economia — PIB, Dívida, Reservas, PIX e SGS data via MCP.",
    backstory="Expert analyst with direct BCB Economia — PIB, Dívida, Reservas, PIX e SGS access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent BCB Economia — PIB, Dívida, Reservas, PIX e SGS transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="BCB Economia — PIB, Dívida, Reservas, PIX e SGS Analyst",
        goal="Access and analyze BCB Economia — PIB, Dívida, Reservas, PIX e SGS data via MCP.",
        backstory="Expert analyst with direct BCB Economia — PIB, Dívida, Reservas, PIX e SGS access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent BCB Economia — PIB, Dívida, Reservas, PIX e SGS transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco Central do Brasil. 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 BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in CrewAI

Pass the Vinkius HTTP endpoint URL directly into the `mcps` parameter when defining your Agent. The framework will automatically fetch the available Central Bank tools and make them available to that specific role.

Yes. Import `MCPServerHTTP` from `crewai.mcp` and use the `tool_filter` parameter. This allows you to give an analyst agent access to PIX statistics while hiding the broader SGS time series tool.

The framework maintains shared memory across the crew. When the researcher agent pulls the latest trade balance, that exact figure is available in the context window for the writer agent to use in the final report.

You can run your crew on a scheduled loop. The agents will wake up, hit the MCP Server endpoint to grab the latest IBC-Br or debt figures, and generate a new briefing if the numbers have changed.

Vinkius processes every tool call in a completely isolated, ephemeral environment. When your crew requests specific SGS series codes for your internal models, the sandbox destroys itself immediately after returning the data, leaving no persistent logs.

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