How to Use the GetStream MCP in Google ADK

Q: Can I filter which GetStream tools my Google ADK agent uses?

Yes. The toolnames filter allows you to restrict the MCP Server to specific functions, ensuring your agent only has access to the tools you authorize.

Sync your Google ADK agent with GetStream data feeds and social infrastructure.

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Connect GetStream MCP to Google ADK

Create your Vinkius account to connect GetStream 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 GetStream with Google ADK

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Social graph automation for Google ADK

Your agent manages follower relationships using `follow_feed` and `unfollow_feed`. It tracks feed connections in real-time, allowing for dynamic social network updates based on user behavior. This MCP Server provides the hooks your agent needs to query feed state via `list_feed_follows`. It keeps your social logic inside the agent's reasoning loop.

Scale feed operations in Google ADK

Use `get_feed` to pull paginated activity data into your Gemini-powered agent. The agent processes these activities to surface relevant content or flag items for review. Complex feed management becomes a series of tool calls like `update_activities`. This allows your agent to maintain clean data structures across your entire platform.

Media enrichment via Google ADK

Your agent scrapes external content with `get_open_graph` to populate your feed activities. It handles media lifecycle tasks including `delete_file` when content reaches its expiration. Processing visual assets is handled through `process_image`. Your agent ensures that every image meets your platform's requirements before it is committed to a feed.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetStream. 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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Common questions about GetStream MCP in Google ADK

Use the McpToolset class with your server parameters. Adding this toolset to your LlmAgent allows immediate access to all 23 available operations.

Yes. The tool_names filter allows you to restrict the MCP Server to specific functions, ensuring your agent only has access to the tools you authorize.

It is. You can use either Stdio or HTTP transports to connect your agent to the GetStream service, depending on your deployment environment.

Yes. You can feed large activity batches into the agent's context window, allowing it to reason over thousands of feed entries simultaneously.

Data is transmitted through an ephemeral V8 sandbox. This ensures that only the specific activity and collection records requested by your agent are processed by the server.

Use it with your favorite AI tools

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