Bunny.net MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bunny.net through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Bunny.net "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Bunny.net?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Bunny.net tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Bunny.net MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Bunny.net with type-safe schemas
Why Use Pydantic AI with the Bunny.net MCP Server
Pydantic AI provides unique advantages when paired with Bunny.net through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Bunny.net integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Bunny.net connection logic from agent behavior for testable, maintainable code
Bunny.net + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Bunny.net MCP Server delivers measurable value.
Type-safe data pipelines: query Bunny.net with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Bunny.net tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Bunny.net and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Bunny.net responses and write comprehensive agent tests
Bunny.net MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Bunny.net to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Bunny.net to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBunny.net + Pydantic AI FAQ
Common questions about integrating Bunny.net MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.