How to Use the Twist MCP in Google ADK

Q: Does Google ADK support managing workspaces with Twist?

Yes. The agent uses the listworkspaces tool to identify all active work boundaries. This lets your application scope its actions correctly before listing channels or users.

Q: Can I modify a thread's content using Twist and Google ADK?

You can. The updatethread tool allows the agent to change the title or body of an existing discussion thread, keeping the conversation current without losing its history.

Q: What data type does this MCP Server touch regarding privacy with Twist and Google ADK?

The server handles user grouping information, specifically Workspace IDs. Your agent uses these IDs to define the boundaries of its access and operations.

Ground your business logic in chat history using Google ADK and our MCP Server.

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Connect Twist MCP to Google ADK

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Setup Twist with Google ADK

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Build Complex Communication Contexts

When building enterprise agents, you need the full context. Use `list_direct_messages` to pull every message from a specific 1-on-1 conversation ID. This is essential for grounding your agent's reasoning. Similarly, `list_threads` allows your agent to gather all associated threads within a single channel, providing deep conversational history.

Identify and Scope Collaboration Areas

Your Google ADK agent needs to know where it's working. Start by calling `list_workspaces` to identify every bounded Twist Workspace. Once you have the ID, `list_channels` gives you a breakdown of all available channels. These listing tools let your agent accurately scope its operations before attempting any modification.

Perform Targeted Messaging and Updates

The MCP Server lets your agent act directly on the conversation structure. Send private messages using `send_direct_message` to a specific ID, or use `update_direct_message` if you need to correct a message that was sent earlier. For larger structural changes, `create_thread` starts new discussions while `update_thread` lets your agent modify the title or core content of an existing one.

Setup guide

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

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Common questions about Twist MCP in Google ADK

Your agent uses the MCP Server to pull unstructured conversation history via tools like `list_direct_messages`. This raw text is then fed into Gemini models for long-context reasoning, allowing it to act on chat data.

Yes. The agent uses the `list_workspaces` tool to identify all active work boundaries. This lets your application scope its actions correctly before listing channels or users.

You can. The `update_thread` tool allows the agent to change the title or body of an existing discussion thread, keeping the conversation current without losing its history.

It is. Because it's built into a Google Cloud ecosystem context, your agent can manage communication streams at an enterprise scale, ensuring the tool calls support large-scale operational needs.

The server handles user grouping information, specifically `Workspace IDs`. Your agent uses these IDs to define the boundaries of its access and operations.

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