How to Use the BCB Juros — Selic, CDI e Expectativas Focus MCP in CrewAI
Run a coordinated team of CrewAI agents to analyze Brazilian fixed income markets and Selic trends.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BCB Juros — Selic, CDI e Expectativas Focus MCP to CrewAI
Create your Vinkius account to connect BCB Juros — Selic, CDI e Expectativas Focus 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.
Multi-agent Brazilian macroeconomic analysis
The `get_expectativas_selic` tool feeds the latest Focus Survey market projections to your research agent. While that agent analyzes future trends, a separate analyst agent can use `get_cdi` to evaluate current fixed-income yields. CrewAI coordinates this collaboration, allowing agents to share memory and pass findings back and forth. You get a cohesive investment report compiled by specialized agents working in parallel.
Autonomous portfolio monitoring via this MCP Server
The `get_selic_diaria` tool allows an autonomous monitor agent to track daily effective rates in real-time. If a sudden divergence occurs between the daily rate and the official target, the agent escalates the issue. A moderator agent can then take pre-approved actions to adjust your risk exposure. This entire operational loop runs without human intervention, keeping your portfolio aligned with actual market conditions.
Track COPOM policy shifts with agent teams
The `get_selic_meta` tool provides your crew with the official target rate defined by the Central Bank. When COPOM announces a change, your agents immediately update their valuation models. By dividing tasks, one agent can calculate the impact on CDI-linked assets while another drafts an executive summary for your team. This structure turns raw monetary policy data into actionable intelligence instantly.
Set up BCB Juros — Selic, CDI e Expectativas Focus MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke BCB Juros — Selic, CDI e Expectativas Focus tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="BCB Juros — Selic, CDI e Expectativas Focus Analyst",
goal="Access and analyze BCB Juros — Selic, CDI e Expectativas Focus data via MCP.",
backstory="Expert analyst with direct BCB Juros — Selic, CDI e Expectativas Focus access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent BCB Juros — Selic, CDI e Expectativas Focus transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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 Juros — Selic, CDI e Expectativas Focus Analyst",
goal="Access and analyze BCB Juros — Selic, CDI e Expectativas Focus data via MCP.",
backstory="Expert analyst with direct BCB Juros — Selic, CDI e Expectativas Focus access.",
tools=mcp_tools,
)
task = Task(
description="List recent BCB Juros — Selic, CDI e Expectativas Focus transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 Juros — Selic, CDI e Expectativas Focus MCP in CrewAI
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