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Cloudflare Tunnel MCP Server for Google ADKGive Google ADK instant access to 17 tools to Cleanup Connections, Create Route, Create Tunnel, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cloudflare Tunnel as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Cloudflare Tunnel MCP Server for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="cloudflare_tunnel_agent",
    instruction=(
        "You help users interact with Cloudflare Tunnel "
        "using 17 available tools."
    ),
    tools=[mcp_tools],
)
Cloudflare Tunnel
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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.

Google ADK natively supports Cloudflare Tunnel as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 17 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 17 tools from Cloudflare Tunnel via MCP

Why Use Google ADK with the Cloudflare Tunnel MCP Server

Google ADK provides unique advantages when paired with Cloudflare Tunnel through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Cloudflare Tunnel

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Cloudflare Tunnel tools with BigQuery, Vertex AI, and Cloud Functions

Cloudflare Tunnel + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Cloudflare Tunnel MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Cloudflare Tunnel and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Cloudflare Tunnel tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Cloudflare Tunnel regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cloudflare Tunnel

Example Prompts for Cloudflare Tunnel in Google ADK

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

01

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

02

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

03

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

Troubleshooting Cloudflare Tunnel MCP Server with Google ADK

Common issues when connecting Cloudflare Tunnel to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Cloudflare Tunnel + Google ADK FAQ

Common questions about integrating Cloudflare Tunnel MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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