How to Use the GoatCounter MCP in Google ADK

Q: How do I see traffic trends in Google ADK using GoatCounter?

Call getstatshitspath to view specific page performance. The agent parses the output to summarize your top-performing content.

Analyze visitor traffic in your Google ADK environment with this MCP Server.

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Connect GoatCounter MCP to Google ADK

Create your Vinkius account to connect GoatCounter 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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Setup GoatCounter with Google ADK

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Query stats using Google ADK

Retrieve traffic metrics with `get_stats_hits` and `get_stats_page`. Your agent pulls these numbers directly into its reasoning loop. You get clear visibility into your site performance. It allows your agent to synthesize visitor trends alongside your existing BigQuery data.

List and audit sites with Google ADK

Use `list_sites` to get a snapshot of every property you manage. It helps your agent audit account configurations across your entire portfolio. You can inspect specific details with `get_site`. This provides the context your agent needs to verify site-wide settings.

Automate exports within Google ADK

Initiate data archival using `start_export` and poll the status via `get_export`. It keeps your long-term storage updated without manual intervention. Your agent manages the lifecycle of these files. Once the export finishes, `download_export` retrieves the data for your local analysis.

Setup guide

Set up GoatCounter 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

Install Google ADK

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

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

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 GoatCounter 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="GoatCounter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GoatCounter tools via MCP.",
    tools=mcp_tools,
)

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Common questions about GoatCounter MCP in Google ADK

Yes, integrate the server via the toolset interface. Your agent can then run traffic reports on demand.

All 14 tools are available. You can restrict access to specific ones if your agent only needs read-only analytics.

Call `get_stats_hits_path` to view specific page performance. The agent parses the output to summarize your top-performing content.

The server uses standard transport protocols. You authenticate your requests with a private API key passed through your configuration.

It avoids tracking individual identifiers or IP addresses. The server logs aggregate counts only, keeping your visitor data isolated and anonymous.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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