How to Use the Cuiabá Transparency MCP in CrewAI

Deploy a specialized crew of agents to monitor and analyze Cuiabá municipal data within your CrewAI environment.

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Connect Cuiabá Transparency MCP to CrewAI

Create your Vinkius account to connect Cuiabá Transparency 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 Cuiabá Transparency with CrewAI

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Perplexity

Collaborative budget analysis in CrewAI

Assign one agent to run `list_budget` while another compares the results against historical trends. They share memory to maintain context. You create a team that works as a unit. The agents handle the research and analysis phases independently.

Autonomous expenditure tracking with CrewAI

Let a monitor agent trigger `list_expenses` and report anomalies to a second agent for verification. You get a finished report without touching the code. The agents operate in a sequence you define. This MCP Server provides the raw data they need to act.

Public tender oversight using CrewAI

Task your agents with fetching `list_contracts` to scan for specific keywords. They flag relevant entries for your review. Specialized roles allow for deep filtering of city records. You define the objective and the crew handles the execution.

Setup guide

Set up Cuiabá Transparency 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 Cuiabá Transparency tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Cuiabá Transparency 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 Cuiabá Transparency 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.

Why Choose Vinkius

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Common questions about Cuiabá Transparency MCP in CrewAI

Include the server URL in your agent definition. The framework automatically imports the tools so your crew can use them.

They can. Using the framework's shared memory, one agent can fetch data and the next can process it.

You can select exactly which tools each agent gets. This keeps your crew focused on their specific tasks.

The server works with stdio or HTTP transports. You choose the connection method that fits your local or cloud setup.

Data is scoped to the agent process. Your municipal information is processed in a memory-isolated sandbox that wipes upon task completion.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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