How to Use the ConfigCat MCP in Google ADK

Q: Can Google ADK filter which ConfigCat tools it sees?

Yes. Use the toolnames filter to restrict the agent to specific functions. This limits scope and keeps your agent focused.

Connect ConfigCat to Google ADK to toggle features. Automate your Google Cloud infrastructure with this MCP server.

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Connect ConfigCat MCP to Google ADK

Create your Vinkius account to connect ConfigCat 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 ConfigCat with Google ADK

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Execute flag changes in Google ADK

Your agent executes `update_setting_value` to flip flags based on your cloud data. It pulls current values using `get_setting_value` to inform its decisions. This creates a tight loop between your data and your features. You move fast without manual intervention.

Organize your environment with the MCP Server

Use `create_environment` to spin up staging or production slots. Your agent cleans up with `delete_environment` when testing finishes. This keeps your Google Cloud projects clutter-free. Your agent acts as the primary interface for your entire configuration hierarchy.

Configure targeting rules with your agent

Your agent builds complex segments via `create_segment`. It retrieves existing rules with `get_segment` to ensure no overlap. This helps you maintain clean targeting logic. You avoid manual errors by letting the agent handle the heavy lifting.

Setup guide

Set up ConfigCat 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 ConfigCat 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="ConfigCat_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ConfigCat tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ConfigCat MCP in Google ADK

Initialize an McpToolset with your server URL. Pass this set into your LlmAgent to give it access to your feature flags.

Yes. Use the tool_names filter to restrict the agent to specific functions. This limits scope and keeps your agent focused.

It does. You can use either Stdio or HTTP transports depending on your deployment. Most cloud agents prefer the HTTP route.

Vinkius manages all authentication tokens. You just configure the endpoint and the server manages the handshake.

The server only reads and writes your feature flag settings and environment configurations. Your proprietary user data stays in BigQuery.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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