How to Use the Campinas Open Data MCP in CrewAI

Q: What's the simplest way to give my CrewAI agents access to the Campinas Open Data tools?

Just pass the Vinkius MCP endpoint URL directly into the mcps list when you instantiate your Agent. CrewAI will automatically discover and register all the available tools from this server for that agent to use.

Deploy a team of CrewAI agents to research, analyze, and report on Campinas public data autonomously.

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Connect Campinas Open Data MCP to CrewAI

Create your Vinkius account to connect Campinas Open Data 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 Campinas Open Data with CrewAI

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Assign a Research Agent for Campinas

Build a specialized 'Data Scout' agent as part of your crew. You can restrict its tools to just `list_packages`, `search_packages`, and `list_tags` from this server. Its entire job is to find potentially relevant datasets based on your criteria. Once the Scout finds a list of package IDs, it passes them into the shared memory for the next agent in the crew to pick up. This creates a clear separation of duties for your autonomous team.

An 'Analyst' Agent Vets the Data

The next agent in your crew is the 'Data Analyst'. It takes the dataset IDs found by the Scout and gets to work. Its job is to use `get_package` and `get_resource` to inspect the metadata for each one. This agent can also use `list_organizations` to check if the data comes from a trusted city department. It acts as a quality control step, ensuring the data your crew acts on is legitimate before passing a final, vetted list to a reporting agent.

Build an Autonomous Monitoring Crew

Combine these roles into a full, autonomous crew that monitors the Campinas data portal. The Scout runs on a schedule, the Analyst vets what it finds, and a final 'Reporter' agent summarizes the new, verified datasets and sends a notification. This is what an MCP server enables. Your CrewAI setup can perform this entire research and validation workflow without any human intervention. You've effectively built a small, automated team to keep you updated.

Setup guide

Set up Campinas Open Data 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 Campinas Open Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Campinas Open Data 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 Campinas Open Data Portal. 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 Campinas Open Data MCP in CrewAI

When defining your Agent, assign it a specific role like 'Campinas Data Researcher'. Then, use the `tool_filter` option when configuring the MCP server to only expose tools like `search_packages` and `list_tags` to that specific agent.

Yes, that's a perfect use case. You can create a sequential crew where one agent finds new datasets with `search_packages`, and a second agent analyzes them with `get_package`. The crew can run on a schedule to provide continuous monitoring.

Just pass the Vinkius MCP endpoint URL directly into the `mcps` list when you instantiate your Agent. CrewAI will automatically discover and register all the available tools from this server for that agent to use.

Yes. Instead of passing the URL directly, you instantiate an `MCPServerHTTP` object from `crewai.mcp`. It has a `tool_filter` parameter that lets you provide a list of tool names you want to expose, giving you fine-grained control for each agent.

There are no privacy concerns. This MCP server exclusively handles public, non-sensitive metadata from the Campinas open data portal. Your CrewAI agents won't touch any private user information, and Vinkius ensures each session is ephemeral and isolated.

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