How to Use the Zeabur (PaaS Deployment) MCP in CrewAI

Q: What kind of data does Zeabur (PaaS Deployment) touch when CrewAI sends emails?

The server touches email content and requires a ZEABUREMAILTOKEN. It processes the message text, whether it's for one user or many.

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Connect Zeabur (PaaS Deployment) MCP to CrewAI

Create your Vinkius account to connect Zeabur (PaaS Deployment) 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 Zeabur (PaaS Deployment) with CrewAI

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CrewAI: Automated Deployment through the MCP Server

The MCP Server provides tools for infrastructure management. A specialized agent can call `deploy_template` to roll out a service, or use `create_upload_stage` to prepare assets before deployment. Another agent could follow up by checking logs using `get_build_logs`, ensuring the operation completed correctly.

CrewAI: Container Management and Execution

The MCP Server lets your crew interact with running services. Agents can use `execute_command` to run a specific task inside a container, or retrieve data using `download_file`. You might also need to call `prepare_deployment` before the command runs.

CrewAI: Scheduled and Transactional Communications

The crew can manage external communication. Use `send_email` for immediate alerts, or use `schedule_email` if a report needs to go out later. The MCP Server handles both single emails and large groups via `send_batch_emails`.

Setup guide

Set up Zeabur (PaaS Deployment) 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 Zeabur (PaaS Deployment) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Zeabur (PaaS Deployment) 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 Zeabur. 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 Zeabur (PaaS Deployment) MCP in CrewAI

The MCP Server gives your crew access to deployment tools like `deploy_template`. This lets the agents act autonomously, managing services and running commands without human input.

Yes. Agents can sequence calls—for example, uploading files with `create_upload_stage`, then deploying them, and finally running a test command.

The server touches email content and requires a `ZEABUR_EMAIL_TOKEN`. It processes the message text, whether it's for one user or many.

CrewAI passes the MCP Server URL directly to your agents. This allows specialized roles within the crew to call specific tools like `execute_command` when needed.

The server provides tooling to monitor and control deployment. You can use `get_build_logs` or check the status with `prepare_deployment` to confirm success.

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