Bunny.net MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Bunny.net through Vinkius, pass the Edge URL in the `mcps` parameter and every Bunny.net tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Bunny.net Specialist",
goal="Help users interact with Bunny.net effectively",
backstory=(
"You are an expert at leveraging Bunny.net tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Bunny.net "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Bunny.net MCP Server
Connect your Bunny.net platform to any AI agent and operate your edge CDN and cloud storage entirely through natural conversation.
When paired with CrewAI, Bunny.net becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Bunny.net tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Pull Zones Management — View and create ultra-fast reverse proxy acceleration links that distribute your media globally
- Cache Invalidations — Instantly purge the cache on specific CDN zones, pushing out immediate changes and breaking TTLs
- Edge Storage Clusters — Analyze or delete raw origin volumes routing permanent data arrays
- File Exploration — Inspect precise static payloads directly inside the CDN Edge Storage structure via FTP parameters
The Bunny.net MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Bunny.net to CrewAI via MCP
Follow these steps to integrate the Bunny.net MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Bunny.net
Why Use CrewAI with the Bunny.net MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Bunny.net through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Bunny.net + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Bunny.net MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Bunny.net for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Bunny.net, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Bunny.net tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Bunny.net against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Bunny.net MCP Tools for CrewAI (10)
These 10 tools become available when you connect Bunny.net to CrewAI via MCP:
add_pull_zone
Returns the new Pull Zone ID and default b-cdn.net domain. Provision a radically fast new CDN reverse proxy domain
add_storage_zone
Defaults to explicit NY regional primary datacenters. Bootstrap an entirely empty replication Volume inside Bunny.net
delete_pull_zone
Instantly invalidates assigned `b-cdn.net` aliases dropping incoming proxy connections out of the Anycast caching tree entirely. Destroy an active CDN acceleration mapping terminating global traffic
delete_storage_zone
Requires zone to be empty or forces recursive wipes freeing the namespace back into the registry. Vaporize an existing Bunny CDN Storage Zone entirely
get_pull_zone
Exposes enabled SSL configurations, Bandwidth limits, and advanced Edge Rules intercepting requests. Perform structural extraction of metadata for one specific Pull Zone
get_storage_zone
Returns FTP access credentials, read-only vs read-write keys, and origin PoPs. Inspect deep internal credentials identifying a precise Storage Zone
list_files
Requires the specific Zone FTP/API Password. Returns literal byte lengths and cryptographic hash footprints. Enumerate explicitly uploaded binary assets nested strictly inside Storage
list_pull_zones
Returns pull zone IDs, names, hostnames, and origin URL targets. Identify global Bunny CDN accelerated delivery domains (Pull Zones)
list_storage_zones
Locate physical Edge Storage origin folders managed natively on Bunny
purge_pull_zone
Spikes Origin ingress traffic rapidly pulling entirely fresh payload structures. Blast an immediate Cache Invalidation forcing origin asset re-fetching
Example Prompts for Bunny.net in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Bunny.net immediately.
"List all my current Pull Zones and their original targets."
"My site design looks old, the JS didn't update. Purge Pull Zone ID 12040 right now."
"What files are currently inside the '/assets/' path of our 'main-storage-x' Edge Storage zone?"
Troubleshooting Bunny.net MCP Server with CrewAI
Common issues when connecting Bunny.net to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Bunny.net + CrewAI FAQ
Common questions about integrating Bunny.net MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Bunny.net with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Bunny.net to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
