How to Use the Monday.com MCP in Google ADK

Q: How do I initialize Monday.com tools using the Google ADK?

You import McpToolset and pass the Monday.com MCP server URL into StreamableHttpServerParameters. This exposes tools like listboards directly to your Gemini agent for immediate execution.

Q: Can Google ADK write updates back to Monday.com?

Yes, your agent uses postitemupdate to write comments back to specific rows. This allows your Gemini models to document their analysis directly on your boards where your team can see them.

Connect your Gemini models to Monday.com using the Google ADK to analyze board updates alongside your BigQuery datasets.

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Connect Monday.com MCP to Google ADK

Create your Vinkius account to connect Monday.com 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 Monday.com with Google ADK

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Map board structures with Google ADK

The `get_board_schema` tool extracts the exact column structure of your target board. Your Google ADK agent parses this schema to understand which columns represent dates, text, or numbers before attempting any writes. This schema mapping prevents Gemini from sending invalid data types when updating your tracking sheets. You pass this information directly into your model's 1M-token context window to make highly informed structural decisions.

Sync workspace data with this MCP Server

The `list_workspaces` tool retrieves the containers where your team hosts their project boards. Your Google ADK setup queries these workspaces to align your cloud-hosted datasets with active projects. By using the `McpToolset` class, your agent automatically maps these containers to your enterprise hierarchy. This allows your model to read board layouts and cross-reference them with BigQuery tables in real time.

Query team comments for context-rich analysis

The `list_item_updates` tool pulls discussion threads directly from your project boards into Gemini's context window. Your Google ADK agent reads these updates to analyze project bottlenecks or extract action items. You can filter these tools using the `tool_names` parameter to keep your agent focused only on reading comments. This ensures your model processes textual updates without risking accidental modifications to your actual board structures.

Setup guide

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

You import `McpToolset` and pass the Monday.com MCP server URL into `StreamableHttpServerParameters`. This exposes tools like `list_boards` directly to your Gemini agent for immediate execution.

Yes, your agent uses `post_item_update` to write comments back to specific rows. This allows your Gemini models to document their analysis directly on your boards where your team can see them.

The SDK relies on your transport configuration to handle retries when hitting API limits during heavy `list_board_items` calls. You can also restrict tools to prevent your agent from polling the API too frequently.

Yes, the MCP server supports both Stdio and HTTP transports. You define this in your Python script when initializing the toolset parameter for your enterprise agent.

Your board rows, group sections, and team profiles are transmitted over TLS directly to your execution environment. No data is stored or logged on intermediary servers, maintaining strict zero-trust isolation.

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