How to Use the Maranhão Open Data MCP in CrewAI

Q: How do I restrict tool access for Maranhão Open Data in CrewAI?

Use the toolfilter parameter. It lets you grant specific agents access to searchdatastoresql while keeping other agents restricted to basic search.

Deploy a specialized agent crew to monitor and analyze Maranhão public records with this MCP server.

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Connect Maranhão Open Data MCP to CrewAI

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Role-based data discovery

Assign a researcher agent to use `list_packages` and `search_packages`. It scans the entire portal to find relevant datasets for your crew. The findings are shared across your agents' memory. This keeps everyone on the same page while the crew works on the broader objective.

Targeted resource analysis

Let your analyst agent use `get_resource` to pull specific files. It parses the metadata and decides if the data is worth further investigation. This specialization prevents your agents from wasting tokens on irrelevant files. It keeps the crew focused on high-value data targets.

Autonomous SQL execution

Give your data expert agent access to `search_datastore_sql`. It runs complex queries to extract trends from public records without human help. Use `search_datastore` for simpler, rapid filtering. Your crew coordinates the results to form a complete picture of the state's data landscape.

Setup guide

Set up Maranhão 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 Maranhão Open Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes. Just list the MCP server URL in your agent definition. The crew will gain the ability to search and query the portal immediately.

Use the tool_filter parameter. It lets you grant specific agents access to `search_datastore_sql` while keeping other agents restricted to basic search.

Once connected, the agents discover the tools and integrate them into their planning. They decide when to call the server based on their assigned roles.

It does. You can connect using stdio, SSE, or Streamable HTTP. Choose the one that fits your deployment environment best.

The server only touches public government records. Your agent's session is isolated in an ephemeral sandbox, so your internal logic stays secure.

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