How to Use the BCB Full — Inteligência Financeira Completa do Brasil MCP in CrewAI

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Connect BCB Full — Inteligência Financeira Completa do Brasil MCP to CrewAI

Create your Vinkius account to connect BCB Full — Inteligência Financeira Completa do Brasil to CrewAI 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 BCB Full — Inteligência Financeira Completa do Brasil with CrewAI

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Multi-Agent Macroeconomic Reports

Assign one agent to collect inflation data using `get_ipca` and another to analyze market expectations. CrewAI manages the handoff, passing the raw numbers directly between roles. The final moderator agent compiles these findings into a unified market report without needing manual glue code.

Autonomous Treasury Monitoring via MCP Server

Set up a crew to monitor Brazil's fiscal indicators using `get_selic_diaria` without human intervention. An analyst agent can track the daily Selic rate while another checks the CDI with `get_cdi`. Running this MCP Server on Vinkius ensures your agents always have a reliable connection to the official Central Bank API.

Foreign Trade and Reserves Analysis

Run deep-dive reports on Brazil's trade balance using `get_balanca_comercial` across specialized agent roles. Your research agent pulls trade metrics and checks international reserves using `get_reservas`. The entire MCP workflow runs autonomously, giving your team instant access to verified economic data.

Setup guide

Set up BCB Full — Inteligência Financeira Completa do Brasil 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 Full — Inteligência Financeira Completa do Brasil tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="BCB Full — Inteligência Financeira Completa do Brasil Analyst",
    goal="Access and analyze BCB Full — Inteligência Financeira Completa do Brasil data via MCP.",
    backstory="Expert analyst with direct BCB Full — Inteligência Financeira Completa do Brasil access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent BCB Full — Inteligência Financeira Completa do Brasil 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 →

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 Full — Inteligência Financeira Completa do Brasil Analyst",
        goal="Access and analyze BCB Full — Inteligência Financeira Completa do Brasil data via MCP.",
        backstory="Expert analyst with direct BCB Full — Inteligência Financeira Completa do Brasil access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent BCB Full — Inteligência Financeira Completa do Brasil 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 Full — Inteligência Financeira Completa do Brasil MCP in CrewAI

You can pass the Vinkius HTTP URL directly into the agent's mcps array. This lets you limit tools like get_cotacao_moeda to your currency specialist agent while keeping other agents focused on different tasks.

Yes. You can design a sequential crew where the first agent fetches historical indices using get_igpm and get_inpc, and the second agent performs the statistical analysis.

Vinkius manages the connection pooling and authentication for you. Your agents can make multiple parallel calls to tools like get_serie_bcb without running into rate-limiting blocks or credential errors.

Use the Streamable HTTP transport provided by Vinkius. You can initialize it using the MCPServerHTTP helper from the crewai library for clean integration.

All requests for PIX statistics and sovereign debt ratios are executed within single-use sandboxes. Vinkius wipes the runtime environment immediately after your crew finishes its task, keeping your proprietary analysis completely private.

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