How to Use the Headscale (Tailscale Alternative) MCP in Google ADK
Control your private Headscale mesh from your Google ADK pipelines using Gemini's massive context window.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Headscale (Tailscale Alternative) MCP to Google ADK
Create your Vinkius account to connect Headscale (Tailscale Alternative) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Long-Context Mesh Troubleshooting
The Headscale (Tailscale Alternative) MCP Server lets Google ADK ingest your entire network configuration using `list_nodes` and `list_routes`. Gemini uses this data to map your topology. Feeding thousands of node states into the 1M+ token window allows the agent to find routing conflicts. If a path is broken, the agent runs `enable_route` or `disable_route` to fix the traffic flow.
Enterprise Namespace Auditing in Google ADK
Namespace management is handled by this MCP Server using `list_users`, `create_user`, and `delete_user`. Your Google ADK agent cross-references these names with your BigQuery employee database. The agent flags discrepancies automatically. If an employee leaves the company, the agent runs `delete_user` and terminates their active sessions via `expire_node` in a single run.
Automated Node Provisioning and Key Lifecycle
This MCP Server manages authorization tokens using `create_preauth_key` and `expire_preauth_key`. Your agent generates keys during Google Cloud VM deployment steps. The ADK toolset registers the VM, checks its status with `get_node`, and renames it using `rename_node`. You get a fully automated private cloud networking setup.
Set up Headscale (Tailscale Alternative) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Headscale (Tailscale Alternative) tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Headscale (Tailscale Alternative)_agent",
model="gemini-2.0-flash",
instruction="You have access to Headscale (Tailscale Alternative) tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Headscale. 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 Headscale (Tailscale Alternative) MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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