Maranhão Open Data MCP Server for CrewAIGive CrewAI instant access to 6 tools to Get Package, Get Resource, List Packages, and more

Name: Maranhão Open Data
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Maranhão Open Data MCP Server for CrewAI is a standout in the Knowledge Management category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Maranhão Open Data Specialist",
    goal="Help users interact with Maranhão Open Data effectively",
    backstory=(
        "You are an expert at leveraging Maranhão 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 Maranhão Open Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About Maranhão Open Data MCP Server

Connect to the Maranhão Open Data Portal to explore government transparency data directly through your AI agent. This server interfaces with the state's CKAN-based infrastructure to provide real-time access to public information.

When paired with CrewAI, Maranhão Open Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Maranhão 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 — List all available packages or search for specific topics like education, health, or finance using list_packages and search_packages.
Metadata Inspection — Retrieve detailed metadata for datasets and specific resources (CSV, PDF, API endpoints) with get_package and get_resource.
Data Exploration — Search within specific resource rows using search_datastore or execute complex SQL queries against the DataStore for deep analysis with search_datastore_sql.

The Maranhão Open Data MCP Server exposes 6 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 6 Maranhão Open Data tools available for CrewAI

When CrewAI connects to Maranhão Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, transparency, public-records, 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 Maranhão Open Data

Retrieve dataset metadata

get

Get resource on Maranhão Open Data

g., a CSV file or API endpoint within a dataset). Retrieve resource metadata

list

List packages on Maranhão Open Data

List all datasets (packages) on the portal

Search datastore on Maranhão Open Data

Search within a resource in the DataStore

Search datastore sql on Maranhão Open Data

Execute SQL query against the DataStore

Search packages on Maranhão Open Data

Search for datasets

Connect Maranhão Open Data to CrewAI via MCP

Follow these steps to wire Maranhão 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 6 tools from Maranhão Open Data

Why Use CrewAI with the Maranhão Open Data MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Maranhão 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

Maranhão Open Data + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Maranhão 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 Maranhão Open Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Maranhão 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 Maranhão Open Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Maranhão Open Data in CrewAI

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

"List all available datasets on the Maranhão Open Data portal."

"Search for datasets related to 'saúde' (health)."

"Run a SQL query to select the first 5 rows from the resource 'd3b0c...'."

Troubleshooting Maranhão Open Data MCP Server with CrewAI

Common issues when connecting Maranhão 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.

Maranhão Open Data + CrewAI FAQ

Common questions about integrating Maranhão 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.