How to Use the BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in CrewAI

Q: Can I have a CrewAI team monitor multiple indices at once?

Absolutely. You can have one agent responsible for getipca, another for getigpm, and a third for getexpectativasinflacao. A manager agent can then collect their findings to get a complete picture of the Brazilian economic environment.

Deploy an autonomous crew of agents to monitor, analyze, and report on Brazilian inflation using CrewAI.

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Setup BCB Inflação — IPCA, IGP-M, INPC e Expectativas with CrewAI

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Assign a Research & Analysis Crew

Split the work between specialized agents. Assign a 'Researcher' agent the job of fetching raw data using `get_ipca` for the official inflation number and `get_ipca15` for the preview. A second 'Analyst' agent can then be tasked to read the Researcher's output from shared memory. Its job is to compare the two numbers, calculate the variance, and write a summary of the findings. This creates a simple, powerful analysis pipeline.

Build an Autonomous Market Watchdog

Create a crew that monitors the market for you. One agent, the 'Watcher', can be set to run on a schedule, continuously calling `get_expectativas_inflacao` to get the latest market forecasts for inflation. If the median expectation shifts by a predefined amount, the Watcher's job is to task a 'Reporter' agent. The Reporter then drafts a detailed alert for your team, explaining the change. Your crew handles the monitoring so you don't have to.

Deploy a Crew for Contract Management with this MCP Server

Set up a team of agents to manage financial obligations. An 'Indexer' agent's only role is to use `get_igpm` and `get_inpc` to check the latest values for contract and salary indexes. When an index is updated, it passes the data to a 'Communicator' agent. This second agent uses the new index value to calculate adjustments and draft notification emails or alerts, all without human intervention. This MCP server provides the core data for the operation.

Setup guide

Set up BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="BCB Inflação — IPCA, IGP-M, INPC e Expectativas Analyst",
    goal="Access and analyze BCB Inflação — IPCA, IGP-M, INPC e Expectativas data via MCP.",
    backstory="Expert analyst with direct BCB Inflação — IPCA, IGP-M, INPC e Expectativas access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas Analyst",
        goal="Access and analyze BCB Inflação — IPCA, IGP-M, INPC e Expectativas data via MCP.",
        backstory="Expert analyst with direct BCB Inflação — IPCA, IGP-M, INPC e Expectativas access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas MCP in CrewAI

Agents in CrewAI share a 'context' or shared memory. One agent can call a tool like `get_ipca`, and its output is available to the next agent in the sequence. This is how you build collaborative workflows.

A simple, effective structure is a two-agent crew. The first agent is a 'DataFetcher' that calls the tools from this MCP server. The second is an 'Analyst' that takes the raw data, interprets it, and generates a report or decides on a next action.

It's straightforward. You can pass your Vinkius MCP endpoint URL directly into the `mcps` list when defining your Agent in CrewAI. For more control, you can use the `MCPServerHTTP` class to selectively expose specific tools to specific agents.

Absolutely. You can have one agent responsible for `get_ipca`, another for `get_igpm`, and a third for `get_expectativas_inflacao`. A manager agent can then collect their findings to get a complete picture of the Brazilian economic environment.

Yes. The tools only access public Brazilian economic data, so your proprietary data is never exposed. Each tool call from your CrewAI agent runs in a dedicated, ephemeral sandbox on Vinkius, ensuring that your autonomous operations are isolated and secure.

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