How to Use the NetBird MCP in CrewAI

Q: How do I limit tool access for a CrewAI agent?

Use the toolfilter option when setting up your agents. You can restrict them to read-only tools like getpeer if they shouldn't modify the network.

Q: What is the best way to handle NetBird setup keys in CrewAI?

Use the createsetupkey tool inside your provisioning agent. It generates keys dynamically, which you can then pass to your new infrastructure nodes.

Deploy a specialized crew of agents to manage your NetBird infrastructure. Autonomous security at scale.

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Connect NetBird MCP to CrewAI

Create your Vinkius account to connect NetBird 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 NetBird with CrewAI

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Perplexity

Collaborative NetBird Agent Crews

Assign research agents to `list_audit_events` while moderator agents act on `approve_user` requests. They share memory to execute multi-step tasks. Specialized agents work better than one general bot. Your crew handles the full lifecycle of your network security.

Autonomous Posture Enforcement

Set up a monitor agent that scans for non-compliant peers using `list_peers` and `get_posture_check`. If a device drifts, the agent corrects it. It maintains your security baseline 24/7. Your agents act without you needing to press a single button.

Efficient Network Orchestration

Automate the provisioning of complex network resources. Use `create_network_router` and `create_network_resource` to define your topology in code. This moves your network management into the era of autonomous agents. The agents build the infrastructure based on your high-level goals.

Setup guide

Set up NetBird 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 NetBird tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent NetBird 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 NetBird. 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 NetBird MCP in CrewAI

You create agents with specific roles. One agent manages users via `create_user`, while another monitors the network using `list_network_traffic_events`.

Yes. You provide the agent with access to the MCP Server, and it uses `list_networks` to see all available environments and act accordingly.

Use the tool_filter option when setting up your agents. You can restrict them to read-only tools like `get_peer` if they shouldn't modify the network.

The server uses token-based auth to restrict access. Only the agents you explicitly authorize can query your audit logs or change network settings.

Use the `create_setup_key` tool inside your provisioning agent. It generates keys dynamically, which you can then pass to your new infrastructure nodes.

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