How to Use the Ably MCP in Google ADK

Q: Can I use Ably to filter tools in Google ADK?

Yes, you can apply a toolnames filter to the toolset. This restricts your agent to only the specific messaging functions you want it to perform.

Q: How do I track Ably stats in Google ADK?

Call the getstats tool to pull current usage numbers. Your agent can then log these metrics to your Google Cloud monitoring tools.

Connect your Google ADK agents to live messaging streams for real-time action.

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Connect Ably MCP to Google ADK

Create your Vinkius account to connect Ably 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 Ably with Google ADK

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Automate messaging tasks in Google ADK

Your agent uses `publish_message` to send updates to live channels. It bridges your Google Cloud data to external listeners instantly. Scale your broadcast operations by calling `batch_publish` for high-volume scenarios. Your agent manages these flows without leaving the Python runtime.

Monitor channel state with Google ADK

Call `get_presence` to see who is currently active on your platform. Your agent uses this data to make decisions about user availability. Retrieve historical connection data with `get_presence_history` to analyze trends. This insight helps your agent understand long-term user behavior.

Manage messaging infrastructure from Google ADK

Query channel metadata using `get_channel_metadata` to verify your environment setup. Your agent ensures channels exist before attempting to write data. Update or remove content with `update_message` if your logic detects stale info. It keeps your message history accurate and relevant.

Setup guide

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

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Common questions about Ably MCP in Google ADK

You use the McpToolset class with your server parameters. Pass this toolset into your LlmAgent to give it access to all messaging functions.

Yes, you can apply a tool_names filter to the toolset. This restricts your agent to only the specific messaging functions you want it to perform.

The server supports both Stdio and HTTP transports. You choose the one that fits your Google Cloud deployment architecture best.

Call the `get_stats` tool to pull current usage numbers. Your agent can then log these metrics to your Google Cloud monitoring tools.

The server processes presence metadata within a zero-trust sandbox. It only reads the specific presence data you request during a tool execution.

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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