How to Use the Northflank (Developer Cloud & Orchestration) MCP in CrewAI

Q: How do I add Northflank (Developer Cloud & Orchestration) to my CrewAI setup?

Install crewaitools. Pass the Vinkius URL directly into your Agent's mcps array. For granular control, use MCPServerHTTP with a tool filter to restrict access.

Q: Can a CrewAI agent delete a Northflank (Developer Cloud & Orchestration) project on its own?

Yes, if you give it access. deleteproject permanently tears down the microservices. We highly recommend using a moderator agent to approve these destructive actions.

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Connect Northflank (Developer Cloud & Orchestration) MCP to CrewAI

Create your Vinkius account to connect Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) with CrewAI

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Autonomous Northflank MCP Server management

`list_services` delineates distinct service instances representing your Dockerized builds, giving your monitoring agent a full view of the environment. In CrewAI, you assign one agent strictly to watch these instances and report anomalies. When the monitor detects an issue, it hands off to an action agent. That second agent runs `restart_service` to cycle the container replicas and restore standard execution timings. The entire remediation happens without human intervention.

Coordinated deployment crews

`trigger_build` commands the MCP server to compile and deploy your latest code. You set up a hierarchical CrewAI structure where a manager agent decides when to deploy based on pull request merges. The manager delegates the pre-flight checks. A specialized auditor agent runs `list_secrets` to verify the correct database URLs exist, then signals the deployment agent to execute the build. They work together to ensure clean rollouts.

Infrastructure auditing teams

`get_project` correlates global resource restrictions backing your application microservices. Your CrewAI research agent uses this to map out regional metadata and identify misconfigured boundaries across your cloud setup. The crew works sequentially. After fetching the project data, another agent executes `list_jobs` to enumerate isolated batch tasks. They compile a full system report and post it straight to your engineering channel.

Setup guide

Set up Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Northflank (Developer Cloud & Orchestration) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Northflank (Developer Cloud & Orchestration) Analyst",
        goal="Access and analyze Northflank (Developer Cloud & Orchestration) data via MCP.",
        backstory="Expert analyst with direct Northflank (Developer Cloud & Orchestration) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Northflank (Developer Cloud & Orchestration) 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 Northflank. 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 Northflank (Developer Cloud & Orchestration) MCP in CrewAI

Install `crewai[tools]`. Pass the Vinkius URL directly into your Agent's `mcps` array. For granular control, use `MCPServerHTTP` with a tool filter to restrict access.

Yes, if you give it access. `delete_project` permanently tears down the microservices. We highly recommend using a moderator agent to approve these destructive actions.

You assign a specific agent to run the secrets listing tool. Because CrewAI agents share memory, the auditor checks the variables and passes the safe configuration details to the deployment agent.

The executing agent reads the failure response. Depending on your instructions, it attempts a rollback or escalates the error to a human monitoring the session.

The MCP connection interacts directly with your cloud environment variables and secret groups. Vinkius handles the authentication via a single endpoint token in a zero-trust environment. CrewAI only sees the exact data it requests for the current task.

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