How to Use the Inep Dados Abertos MCP in CrewAI

Deploy autonomous research crews using the Inep Dados Abertos MCP Server and CrewAI.

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Connect Inep Dados Abertos MCP to CrewAI

Create your Vinkius account to connect Inep Dados Abertos 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 Inep Dados Abertos with CrewAI

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Claude

Perplexity

Collaborative research agents

Assign a research agent to use `search_packages` to find relevant educational datasets. Your crew can then share these results across the entire team. This shared memory allows different agents to build upon the same data. It turns raw government statistics into actionable insights without human input.

Data analysis and SQL querying

Empower your analysis agent to run `search_datastore_sql` on specific datasets. This allows the agent to extract trends from Censo Escolar files independently. The agent can interpret the SQL output and present findings to the rest of the crew. It reduces the time spent on manual data verification.

Resource discovery and filtering

Use `search_resources` to help your crew navigate the vast INEP database. Agents can filter by tags or groups to find the exact file they need. This capability keeps your agents focused on the right information. They won't waste cycles on irrelevant datasets.

Setup guide

Set up Inep Dados Abertos 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 Inep Dados Abertos tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Inep Dados Abertos Analyst",
    goal="Access and analyze Inep Dados Abertos data via MCP.",
    backstory="Expert analyst with direct Inep Dados Abertos access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Inep Dados Abertos 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="Inep Dados Abertos Analyst",
        goal="Access and analyze Inep Dados Abertos data via MCP.",
        backstory="Expert analyst with direct Inep Dados Abertos access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Inep Dados Abertos 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 Inep. 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 Inep Dados Abertos MCP in CrewAI

Include the MCP server URL in your agent's configuration. The crew will then be able to call the tools directly during their execution cycles.

Yes, you can define your crew to allow concurrent tool usage. Each agent will independently query the server to gather data for its specific role.

A research or data analyst role is best. These roles are naturally suited to handle the output from the Inep tools and turn it into a final report.

Yes, once an agent retrieves data using the server tools, that information is stored in the crew's memory for other agents to use.

The server only touches public government records. No private data or user credentials are involved, ensuring your research remains entirely within public data boundaries.

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