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How to Use the Cloudflare Stream MCP in Google ADK

Connect Google ADK agents to your video infrastructure for automated stream and library management.

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Google ADK

Connect Cloudflare Stream MCP to Google ADK

Create your Vinkius account to connect Cloudflare Stream 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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Control simulcast outputs with Google ADK

Distribute your live content to multiple platforms by invoking `create_live_output` through your agent. You specify the destination, and the agent handles the connection logic. If you need to rotate destinations, the agent triggers `delete_live_output` to remove old simulcast targets. This keeps your broadcast routing accurate.

Manage audio tracks via Google ADK

Your agent updates video accessibility by using `copy_audio_track`. It pulls the audio from a provided URL and attaches it to your existing video asset. To verify the results, the agent runs `list_audio_tracks`. This ensures every video has the correct language or descriptive audio files attached.

Query video assets in Google ADK

Your agent uses `list_videos` to filter your catalog by status or type. It parses the results to find exactly which videos require attention. Once identified, it fetches individual metadata using `get_video`. This allows your agent to make decisions based on the current state of your video library.

Setup guide

Set up Cloudflare Stream 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Cloudflare Stream 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="Cloudflare Stream_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cloudflare Stream tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloudflare Stream. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloudflare Stream MCP in Google ADK

You map the MCP server to your `McpToolset` in your agent definition. This exposes all stream management functions as native tools for your agent to call.
Your agent uses `list_live_inputs` to check the current broadcast status. It can then report back on whether your streams are active or offline.
The agent triggers `create_m4a_download` or `create_mp4_download` to initiate file generation. It then uses `list_downloads` to check when the files are ready for retrieval.
Yes, you can use the `tool_names` filter in your `McpToolset` to limit what the agent can access. This restricts the agent to only the video management functions you permit.
Your agent only interacts with video metadata and stream configurations. No raw video files are stored or cached by the MCP server itself during transit.

Start using the Cloudflare Stream MCP today

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