How to Use the ANA (Movimentação de Dados) MCP in CrewAI

Deploy autonomous water monitoring crews with CrewAI and the ANA (Movimentação de Dados) MCP Server.

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Connect ANA (Movimentação de Dados) MCP to CrewAI

Create your Vinkius account to connect ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) with CrewAI

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Perplexity

Autonomous monitoring with CrewAI

Assign an agent to constantly watch for changes in water quality. Using `get_serie_qa`, it can track metrics and report anomalies to the rest of the crew. This removes the need for manual oversight. Your agents handle the heavy lifting of continuous data surveillance.

Role-based registry management

Create specialized agents for different data types. One agent handles `get_serie_cota` while another focuses on `get_serie_vazao` updates. This separation of duties keeps your operations clean. Each agent sticks to its specific domain expertise.

Collaborative data synthesis

Share memory between agents to build a complete picture of a river basin. One agent fetches rainfall, another checks cross-sections, and the third compiles the report. They work as a team to turn raw numbers into actionable intelligence. It is the most efficient way to manage large-scale water data.

Setup guide

Set up ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent ANA (Movimentação de Dados) 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 ANA (Agência Nacional de Águas). 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 ANA (Movimentação de Dados) MCP in CrewAI

Pass the server URL into the agent's MCP configuration list. The agents will automatically gain access to all eighteen hydrological tools.

They share a memory pool, meaning the data one agent finds is available to the rest of the crew immediately. This speeds up complex analysis tasks significantly.

The agent can log the error and pass the task to a moderator agent. You can configure the crew to handle these exceptions without stopping the whole process.

Yes, use the tool filter in your MCP server definition. You can restrict an agent so it only has read access to flow data.

All communication is wrapped in TLS encryption. Your session tokens are isolated in a memory-safe sandbox that clears immediately upon task completion.

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