Pusher Channels MCP Server for Google ADKGive Google ADK instant access to 6 tools to Get Channel, List Channel Users, List Channels, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pusher Channels as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Pusher Channels MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="pusher_channels_agent",
instruction=(
"You help users interact with Pusher Channels "
"using 6 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Pusher Channels MCP Server
Connect your Pusher Channels infrastructure to any AI agent to orchestrate real-time messaging and monitor your application's pub/sub health through natural language.
Google ADK natively supports Pusher Channels as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Event Broadcasting — Trigger single or batch events across multiple channels with custom JSON payloads to update your frontend instantly.
- Channel Monitoring — List all active channels, filter by prefix, and fetch specific metadata like subscription counts or user counts.
- Presence Management — Retrieve lists of user IDs currently subscribed to presence channels to understand real-time engagement.
- Session Control — Terminate all active WebSocket connections for a specific user ID to handle security incidents or forced logouts.
- State Inspection — Query the detailed state of any specific channel to debug message flow or connection metrics.
The Pusher Channels MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Pusher Channels tools available for Google ADK
When Google ADK connects to Pusher Channels through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time, websockets, pub-sub, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get channel on Pusher Channels
Fetch information for a specific channel
List channel users on Pusher Channels
Fetch users in a presence channel
List channels on Pusher Channels
Fetch multiple channels
Terminate user connections on Pusher Channels
Terminate all connections for a user
Trigger batch events on Pusher Channels
Trigger multiple events in a single batch
Trigger event on Pusher Channels
Max 10KB data payload. Trigger an event on one or more channels
Connect Pusher Channels to Google ADK via MCP
Follow these steps to wire Pusher Channels into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Pusher Channels MCP Server
Google ADK provides unique advantages when paired with Pusher Channels through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pusher Channels
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Pusher Channels tools with BigQuery, Vertex AI, and Cloud Functions
Pusher Channels + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Pusher Channels MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Pusher Channels and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Pusher Channels tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Pusher Channels regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pusher Channels
Example Prompts for Pusher Channels in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Pusher Channels immediately.
"Trigger a 'new-order' event on the 'orders' channel with data '{"id": 123, "total": 50.00}'."
"List all active channels that start with 'presence-'."
"Terminate all connections for user ID 'user_999'."
Troubleshooting Pusher Channels MCP Server with Google ADK
Common issues when connecting Pusher Channels to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPusher Channels + Google ADK FAQ
Common questions about integrating Pusher Channels MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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