How to Use the Bunny.net MCP in CrewAI

Q: Can a CrewAI team manage Bunny.net pull zones autonomously?

Yes, agents can use listpullzones and purgepullzone to monitor and maintain your CDN. You set the goal, and the crew handles the individual tool calls.

Q: How do I restrict which Bunny.net tools my CrewAI agents use?

Use the toolfilter in your agent config. You can limit your crew to only read data via getpullzone while blocking destructive tools like deletestoragezone.

Q: Does CrewAI support multi-agent collaboration on Bunny.net tasks?

Absolutely. One agent can research storage usage with listfiles, while another acts on that data to purge or move assets. They share the MCP context to work as a team.

Deploy autonomous crews to manage your Bunny.net edge infrastructure using CrewAI agents.

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Create your Vinkius account to connect Bunny.net 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 Bunny.net with CrewAI

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Autonomous CDN delivery operations

Assign a researcher agent to `list_pull_zones` so your crew knows exactly which domains are live. This gives your team a real-time map of your edge infrastructure. Let your moderator agent execute `purge_pull_zone` when traffic anomalies occur. The crew reacts to spikes by forcing a cache refresh, protecting your origin server from strain.

Specialized storage maintenance crews

Task an agent with `list_storage_zones` to audit your origin folders. It identifies orphaned volumes, letting your crew clean up unused space autonomously. Use `get_storage_zone` to retrieve credentials for specialized agents that handle binary uploads. Your crew ensures every zone is configured with the correct access rights.

Global CDN lifecycle management

Enable your crew to provision infrastructure with `add_pull_zone` during high-traffic events. The agents coordinate to set up the CDN without human oversight. Command your agents to run `delete_pull_zone` once a temporary campaign ends. Your infrastructure stays clean, and you stop paying for idle edge delivery.

Setup guide

Set up Bunny.net 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 Bunny.net tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, agents can use `list_pull_zones` and `purge_pull_zone` to monitor and maintain your CDN. You set the goal, and the crew handles the individual tool calls.

Use the tool_filter in your agent config. You can limit your crew to only read data via `get_pull_zone` while blocking destructive tools like `delete_storage_zone`.

The connection uses ephemeral, authenticated tunnels managed by Vinkius. Your agents act within a zero-trust environment, ensuring your CDN keys remain shielded.

Absolutely. One agent can research storage usage with `list_files`, while another acts on that data to purge or move assets. They share the MCP context to work as a team.

Your metadata is processed in memory by the agents. The Vinkius sandbox ensures no logs or persistent records of your file hashes are kept outside your control.

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