Campinas Open Data MCP Server for CrewAIGive CrewAI instant access to 8 tools to Get Package, Get Resource, List Groups, and more

Name: Campinas Open Data
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Campinas Open Data through Vinkius, pass the Edge URL in the `mcps` parameter and every Campinas Open Data tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Campinas Open Data MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Campinas Open Data Specialist",
    goal="Help users interact with Campinas Open Data effectively",
    backstory=(
        "You are an expert at leveraging Campinas Open Data tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Campinas Open Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Campinas Open Data MCP Server

Connect to the Campinas Open Data Portal (CKAN) and explore a wealth of public information from one of Brazil's major cities through natural conversation.

When paired with CrewAI, Campinas Open Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Campinas Open Data tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Dataset Discovery — Search for specific packages related to health, education, finance, or transport using keywords.
Metadata Inspection — Retrieve full metadata for datasets and individual resources (files) to understand data structures.
Organizational Mapping — List all city departments and organizations that provide public data.
Thematic Exploration — Browse data by groups (e.g., 'Saúde', 'Educação') or tags to find relevant information quickly.
Resource Access — Get direct links and metadata for CSVs, PDFs, and APIs hosted on the portal.

The Campinas Open Data MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Campinas Open Data tools available for CrewAI

When CrewAI connects to Campinas Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning campinas, open-data, ckan, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get package on Campinas Open Data

Get full metadata for a specific dataset

get

Get resource on Campinas Open Data

Get metadata for a specific resource

list

List groups on Campinas Open Data

g., Education, Health). List thematic groups

list

List organizations on Campinas Open Data

List organizations providing data

list

List packages on Campinas Open Data

List all dataset names

list

List tags on Campinas Open Data

List all tags used across the portal

Search packages on Campinas Open Data

Search for datasets matching specific criteria

Search resources on Campinas Open Data

g., name:financeiro). Search for resources based on fields

Connect Campinas Open Data to CrewAI via MCP

Follow these steps to wire Campinas Open Data into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Campinas Open Data

Why Use CrewAI with the Campinas Open Data MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Campinas Open Data through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Campinas Open Data + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Campinas Open Data MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Campinas Open Data for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Campinas Open Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Campinas Open Data tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Campinas Open Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Campinas Open Data in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Campinas Open Data immediately.

"Search for datasets about 'educação' in Campinas."

"List all organizations that provide data to the portal."

"Get full metadata for the dataset 'vagas-em-creches'."

Troubleshooting Campinas Open Data MCP Server with CrewAI

Common issues when connecting Campinas Open Data to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Campinas Open Data + CrewAI FAQ

Common questions about integrating Campinas Open Data MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.