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How to Use the Asana MCP in Google ADK

Give your Gemini agent direct control over Asana. This MCP Server connects the Google ADK to your projects.

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Google ADK

Connect Asana MCP to Google ADK

Create your Vinkius account to connect Asana 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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Manage Asana from Google Cloud

This server exposes the core Asana actions your Gemini agent needs. It can `create_task` from a user prompt, `update_task` based on a BigQuery trigger, or `get_task` details to feed into another Google service. It closes the loop between your data and your work. Imagine an alert firing in Google Cloud Monitoring. Your ADK agent can parse it, create a P1 bug report in the right Asana project, and assign it to the on-call engineer, all in a few seconds.

Analyze Project Structure at Scale

Your agent can map out your entire Asana organization. It starts with `list_workspaces`, then fetches all projects with `list_projects` and their columns with `list_sections`. Here's where Gemini's long context is a huge advantage. Your Google ADK agent can pull the full task lists for multiple large projects into a single context, then reason about cross-team dependencies or resource allocation.

Run Targeted Asana Searches with an MCP Server

The `search_tasks` tool lets your agent find specific work items in any workspace. It's not just a simple text search; it can be combined with other tools like `list_tags` to build complex, filtered queries. This becomes powerful when integrated with the rest of GCP. An agent could find all tasks tagged 'needs-report', use `get_task` to pull their details, and then generate a summary report with Vertex AI. That's real, enterprise-grade automation.

Setup guide

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

You'll use the `McpToolset` from the Google ADK library, initializing it with your Vinkius server URL. That toolset is then passed into the `tools` list of your `LlmAgent`. You can optionally filter which tools are exposed to the agent.
Yes, that's a primary use case. Your Google ADK agent can query BigQuery, process the results, and then use that data to drive a `search_tasks` call in Asana. It's a direct way to link your analytics to your project management.
First, call `list_workspaces` to get the ID of the workspace you care about. Then, feed that ID into the `list_projects` tool. This ensures your Google ADK agent is operating in the correct part of your Asana account.
Yes. The `update_task` tool is included. Your Gemini agent can use it to modify any field on an Asana task, like changing a due date or adding a comment, based on its instructions.
The server accesses your Asana user profile, workspace and project metadata, task details, and task activity logs. Your connection is secured by your private Vinkius token, and each request is handled in a dedicated V8 Isolate that prevents any data leakage between operations.

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