How to Use the ANVISA (Portal de APIs) MCP in CrewAI

Q: How do I add ANVISA (Portal de APIs) to my CrewAI agent crew?

Pass the server URL to your agent definition in the mcps parameter. Your agents immediately gain access to the full toolset.

Q: How do I limit which tools my CrewAI agents can use?

Use the toolfilter option in the MCP server configuration. You specify exactly which functions, like consultarcosmeticos, the agents are allowed to trigger.

Deploy a crew of autonomous agents to research Brazilian health regulations with CrewAI and this MCP Server.

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Connect ANVISA (Portal de APIs) MCP to CrewAI

Create your Vinkius account to connect ANVISA (Portal de APIs) 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 ANVISA (Portal de APIs) with CrewAI

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Perplexity

Specialized agents for ANVISA (Portal de APIs) tasks

Assign `consultar_saneantes` to a researcher agent and `precos_medicamentos` to an analyst. Your crew shares memory, allowing agents to build on each other's findings. Agents collaborate without your input. They exchange research results and refine their queries until they produce a final report.

Hierarchical execution with CrewAI agents

Set up a manager agent to oversee the `notificacoes_alimentos` lookups. The manager delegates tasks to sub-agents, ensuring only valid data makes it into your summary. Roles keep the tasks distinct. One agent acts as the monitor while the other handles the interactions with the regulatory database.

Autonomous monitoring of health records

Task your crew with scanning `registros_alimentos` for updates on a schedule. The agents perform the lookup and trigger an escalation if they detect specific changes. You control the scope with tool filters. You only expose the specific functions your crew needs to do their job, keeping the operation lean.

Setup guide

Set up ANVISA (Portal de APIs) 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 ANVISA (Portal de APIs) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent ANVISA (Portal de APIs) 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 ANVISA. 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 ANVISA (Portal de APIs) MCP in CrewAI

Pass the server URL to your agent definition in the `mcps` parameter. Your agents immediately gain access to the full toolset.

Yes, CrewAI provides shared memory for your crew. When one agent finds a registration number, the others can access that context for their own tasks.

Use the `tool_filter` option in the MCP server configuration. You specify exactly which functions, like `consultar_cosmeticos`, the agents are allowed to trigger.

The server supports stdio, SSE, and Streamable HTTP. You choose the one that fits your deployment environment best.

The server uses isolated memory and ephemeral sessions. Only the public health data you request is processed, and your agent configuration remains private to your local environment.

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