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How to Use the Trello MCP in Google ADK

Connect your enterprise workflows to Trello using Google ADK.

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Google ADK

Connect Trello MCP to Google ADK

Create your Vinkius account to connect Trello 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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Managing Boards with the MCP Server

To start, call `list_boards` when you need a directory of all boards attached to your account. Once you have the board ID, `get_board` pulls down every piece of detail about that specific workspace. It's designed for enterprise visibility. The agent can also run `list_lists`, which shows the columns (lists) in a board. This gives context on how the project is structured before your agent touches any cards inside.

Updating and Finding Cards via Google ADK

If you need to locate specific items, use `search_cards` with keywords. This function returns matching cards while keeping track of the board and list context. It's perfect for filtering large datasets. The agent can modify existing records using `update_card`, or create completely new ones via `create_card`. You pass this data directly into your Google Cloud pipeline.

Listing Membership Details with Trello

The `list_members` tool pulls a list of every person attached to the board. This is critical for knowing who needs to be notified when changes happen. You can also check your own details using `get_me`. Want more visibility? Use `list_board_cards` to get all cards across every list on a single board, giving you one massive status report.

Setup guide

Set up Trello 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 Trello 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="Trello_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Trello 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 Trello. 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.

Why Choose Vinkius

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Common questions about Trello MCP in Google ADK

The agent runs `search_cards` and passes the keyword to get matching cards. It provides the board and list context, which helps keep your data organized in BigQuery.
Yes. The `add_label_to_card` tool lets you assign labels after first running `list_labels` to get the IDs. You can also update them via `update_card`.
It handles Board or Card details, specifically names, descriptions, list context, and member identifiers. This structure integrates well with BigQuery schemas.
The framework supports long-context reasoning using Gemini models that can hold massive amounts of data (1M+ tokens). You can pass large sets of board status reports to it.
You'll use `McpToolset` by passing the server URL. This makes connecting your agent logic simple, whether you are running Stdio or HTTP transports.

Start using the Trello MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 16 tools

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