How to Use the Agora MCP in Google ADK

Q: Can I filter Agora tools in Google ADK?

You can use the toolnames parameter in your McpToolset configuration. This restricts the agent to only use the specific Agora functions you want to expose.

Control your Agora environment using Google ADK and Gemini infrastructure.

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Connect Agora MCP to Google ADK

Create your Vinkius account to connect Agora 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 Agora with Google ADK

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Control Agora infrastructure via Google ADK

Your agent uses `create_project` to spin up environments on demand. It hooks directly into your GCP logic, keeping your infrastructure code unified. Once the project exists, `get_project_details` populates your agent's context. It prepares the agent to handle subsequent configuration tasks based on live environment state.

Analyze Agora usage data with Google ADK

The `get_usage_stats` tool feeds raw consumption metrics into your agent's long-context window. Gemini then processes this data to forecast your monthly burn rate. Compare these findings against your BigQuery tables. Your agent correlates Agora usage spikes with your existing user activity logs.

Manage Agora recordings within Google ADK

Trigger `stop_cloud_recording` when your agent detects a session end event. It cleans up resources automatically to prevent orphaned files. Check status updates with `query_cloud_recording` to ensure your media pipeline is firing correctly. Your agent verifies the operation succeeded before closing the loop.

Setup guide

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

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Common questions about Agora MCP in Google ADK

Define an McpToolset using your Vinkius endpoint. Inject this into your LlmAgent to let Gemini start calling functions immediately.

You can use the tool_names parameter in your McpToolset configuration. This restricts the agent to only use the specific Agora functions you want to expose.

It supports both Stdio and HTTP transports. You choose the mode that fits your deployment architecture on Google Cloud.

The model uses the 1M+ token context window to reason about your Agora stats. It identifies trends in your channel usage without needing manual reports.

Your channel list is accessed through an encrypted Vinkius tunnel. No raw channel data is stored in your agent's memory longer than the current execution step.

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