How to Use the Flock MCP in Google ADK

Q: How do I load the Flock MCP toolset into a Google ADK agent?

Use the McpToolset class with your Vinkius HTTP endpoint. Pass this toolset directly into the tools parameter when initializing your LlmAgent.

Q: Can I restrict which Flock MCP tools are exposed to my Google ADK agent?

Yes, you can use the optional toolnames filter in the toolset configuration. This lets you restrict the agent to read-only tools like channelslistpublic while blocking write tools.

Q: How does the agent resolve user identities?

The agent runs rosterlistdirectory to match email addresses or names to active UUIDs. It then uses usersgetmetadata to fetch specific profile details.

Connect the Google ADK to your Flock channels to feed live chat data directly into your Vertex AI and Gemini pipelines.

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Connect Flock MCP to Google ADK

Create your Vinkius account to connect Flock 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 Flock with Google ADK

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Feed Flock context to Gemini using Google ADK

The `chat_fetch_messages` tool extracts raw JSON objects containing historical chat strings from any specified Flock room. This lets your Gemini model digest massive conversation histories within its 1M-token context window. Your agent analyzes these transcripts to identify unresolved customer issues. It then uses this data to update your BigQuery records or trigger automated follow-ups.

Manage public channel communication via MCP Server tools

The `channels_list_public` tool enumerates active public channels within your Flock organization. Your Google ADK agent uses this list to map where specific discussion topics are taking place. Once it identifies the correct target, it calls `channels_get_info` to read the channel description and banner logic before posting updates. This ensures your agent only posts relevant updates to matching channels.

Verify channel ingress and active memberships

The `channels_list_members` tool identifies active UUIDs directly attached to a channel to evaluate its current ingress in your MCP configuration. This is crucial when your agent needs to audit who has access to sensitive operational feeds. It matches these UUIDs against your Google Cloud IAM database to flag unauthorized accounts. You get an automated alert the moment a policy violation is detected.

Setup guide

Set up Flock 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 Flock 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="Flock_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Flock 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 Flock. 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 Flock MCP in Google ADK

Use the `McpToolset` class with your Vinkius HTTP endpoint. Pass this toolset directly into the `tools` parameter when initializing your `LlmAgent`.

Yes, you can use the optional `tool_names` filter in the toolset configuration. This lets you restrict the agent to read-only tools like `channels_list_public` while blocking write tools.

Yes, your agent can query BigQuery for customer data and then use `chat_send_message` to post formatted reports directly to your team's channel.

The agent runs `roster_list_directory` to match email addresses or names to active UUIDs. It then uses `users_get_metadata` to fetch specific profile details.

All communications, including private group metadata and roster UUIDs, are encrypted in transit. The Vinkius runtime executes each tool execution within a zero-trust, ephemeral environment that discards all state immediately after completion.

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