Cloudflare Tunnel MCP Server for Pydantic AIGive Pydantic AI instant access to 17 tools to Cleanup Connections, Create Route, Create Tunnel, and more

Name: Cloudflare Tunnel
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cloudflare Tunnel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Cloudflare Tunnel MCP Server for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 17 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 Cloudflare Tunnel "
            "(17 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cloudflare Tunnel?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cloudflare Tunnel MCP Server

Connect your Cloudflare account to any AI agent to take full control of your Zero Trust connectivity and private network routing through natural conversation.

Pydantic AI validates every Cloudflare Tunnel tool response against typed schemas, catching data inconsistencies at build time. Connect 17 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

Tunnel Management — List all tunnels in your account, filter by status (healthy, degraded, down), and fetch detailed metadata for specific tunnels.
Remote Configuration — Retrieve and update ingress rules and origin settings for remotely-managed tunnels without touching the CLI.
Network Routing — Manage private network routes (CIDR) and IP-based routing to connect your internal resources securely.
Connection Monitoring — Inspect active connectors, list tunnel connections, and clean up stale sessions to ensure high availability.
Lifecycle Actions — Create new tunnels, update secrets, or delete decommissioned tunnels directly from your workspace.

The Cloudflare Tunnel MCP Server exposes 17 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 17 Cloudflare Tunnel tools available for Pydantic AI

When Pydantic AI connects to Cloudflare Tunnel through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloudflare-tunnel, zero-trust, cloudflared, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cleanup

Cleanup connections on Cloudflare Tunnel

If no client_id is provided, all connectors are removed. Clean up Cloudflare Tunnel connections

create

Create route on Cloudflare Tunnel

Create a tunnel route

create

Create tunnel on Cloudflare Tunnel

Create a new Cloudflare Tunnel

delete

Delete route on Cloudflare Tunnel

Delete a tunnel route

delete

Delete tunnel on Cloudflare Tunnel

Delete a Cloudflare Tunnel

get

Get configuration on Cloudflare Tunnel

Get configuration for a remotely-managed tunnel

get

Get connector on Cloudflare Tunnel

Get Cloudflare Tunnel connector details

get

Get management token on Cloudflare Tunnel

Get a Cloudflare Tunnel management token

get

Get route by ip on Cloudflare Tunnel

Get tunnel route by IP

get

Get tunnel on Cloudflare Tunnel

Get details for a single Cloudflare Tunnel

get

Get tunnel token on Cloudflare Tunnel

Get a Cloudflare Tunnel token

list

List connections on Cloudflare Tunnel

List Cloudflare Tunnel connections

list

List routes on Cloudflare Tunnel

List tunnel routes

list

List tunnels on Cloudflare Tunnel

List and filter Cloudflare Tunnels in an account

put

Put configuration on Cloudflare Tunnel

Add or update configuration for a remotely-managed tunnel

update

Update route on Cloudflare Tunnel

Update a tunnel route

update

Update tunnel on Cloudflare Tunnel

Update an existing Cloudflare Tunnel

Connect Cloudflare Tunnel to Pydantic AI via MCP

Follow these steps to wire Cloudflare Tunnel into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 17 tools from Cloudflare Tunnel with type-safe schemas

Why Use Pydantic AI with the Cloudflare Tunnel MCP Server

Pydantic AI provides unique advantages when paired with Cloudflare Tunnel 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 Cloudflare Tunnel integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cloudflare Tunnel connection logic from agent behavior for testable, maintainable code

Cloudflare Tunnel + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Cloudflare Tunnel MCP Server delivers measurable value.

Type-safe data pipelines: query Cloudflare Tunnel with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cloudflare Tunnel tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cloudflare Tunnel and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cloudflare Tunnel responses and write comprehensive agent tests

Example Prompts for Cloudflare Tunnel in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Cloudflare Tunnel immediately.

"List all active tunnels in my Cloudflare account [ACCOUNT_ID]."

"Show me the ingress rules for tunnel [TUNNEL_ID]."

"Create a new Cloudflare tunnel named 'office-gateway' in account [ACCOUNT_ID]."

Troubleshooting Cloudflare Tunnel MCP Server with Pydantic AI

Common issues when connecting Cloudflare Tunnel to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cloudflare Tunnel + Pydantic AI FAQ

Common questions about integrating Cloudflare Tunnel MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Cloudflare Tunnel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.