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How to Use the Caddy Server MCP in Google ADK

Give Gemini-powered Google ADK agents the tools to monitor and reconfigure your Caddy Server via MCP Server.

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Google ADK

Connect Caddy Server MCP to Google ADK

Create your Vinkius account to connect Caddy Server 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.

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Manage Caddy Server Routes via Google ADK

This MCP Server exposes `load_config` to push new JSON or Caddyfile configurations directly to your proxy from Google ADK. Your Google ADK agent instantly adjusts routing rules based on real-time traffic patterns or deployment pipelines. You can also target specific parts of your configuration array. By running `append_config` or `insert_config`, your agent adds new server blocks or middleware handlers without replacing the entire active setup.

Deep Upstream Analysis via MCP Server

Running `get_upstreams` lets your Google ADK agent pull live backend status and ingest massive Prometheus metrics blocks from `get_metrics`. The Google ADK agent processes this data to spot long-term performance bottlenecks. It can then run `replace_config` to fine-tune your load balancing algorithms or adjust timeouts.

Hands-Free Certificate Authority Auditing

By executing `get_pki_ca`, your Google ADK agent inspects internal CAs and fetches active certificate chains with `get_pki_ca_certs`. Your agent can cross-reference these local CA states with external security databases. It ensures your internal microservices always communicate over trusted, non-expired TLS connections.

Setup guide

Set up Caddy Server MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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 Caddy Server tools in your ADK agent.

agent.py
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="Caddy Server_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Caddy Server 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 Caddy Server. 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 Caddy Server MCP in Google ADK

Install the package with `pip install google-adk` and configure `McpToolset` with your Vinkius HTTP endpoint. Pass the toolset object directly into the `tools` list of your `LlmAgent` initialization.
Yes, the agent can target precise JSON paths in your configuration. It uses `insert_config` to add new rules or `delete_config` to prune outdated paths without touching the rest of your setup.
The agent calls `get_metrics` to grab Prometheus-formatted metrics. Since Gemini has a massive context window, the agent can analyze hours of raw metrics data to troubleshoot load issues.
Yes, you can use the `tool_names` filter in your `McpToolset` configuration. This restricts the agent to read-only tools like `get_config` and blocks dangerous operations like `stop_server`.
Absolutely. Your raw Caddy Server configurations, upstream statuses, and PKI certs are transmitted over encrypted HTTPS directly to your runtimes. Vinkius handles the underlying authentication, ensuring no raw credentials or sensitive routing tables are exposed to public endpoints.

Start using the Caddy Server MCP today

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