How to Use the Ideanote MCP in Google ADK

Q: Can I filter Ideanote tools for Google ADK?

Yes. Use the toolnames filter during initialization to limit which operations your agent can perform. This adds an extra layer of control.

Bring Ideanote innovation data into your Google ADK agent workflows on Google Cloud.

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Connect Ideanote MCP to Google ADK

Create your Vinkius account to connect Ideanote 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 Ideanote with Google ADK

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Connect Ideanote to Google ADK agents

Map your innovation data directly to your enterprise agents. Use `list_ideas` to pull raw input into your Gemini-powered pipelines for deeper analysis. This setup works alongside your existing BigQuery data. The agent treats the server as an extension of your cloud environment.

Deep dive into missions with Google ADK

Use `get_mission` to pull granular details for specific projects. The agent parses this data to generate summaries or status reports automatically. It matches these mission details against your broader dataset. This creates a feedback loop between your innovation goals and your cloud-hosted projects.

Monitor team activity using this MCP Server

Track who is contributing by calling `list_teams`. The agent identifies active contributors and correlates their output with your innovation metrics. This keeps your project management tight. By using `list_users`, you maintain oversight of all participants in your workspace.

Setup guide

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

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Common questions about Ideanote MCP in Google ADK

Initialize the toolset with your endpoint URL. The framework handles the connection, exposing the tools to your agent immediately.

The agent framework treats these as standard tools. It decides when to call `list_phases` or `get_idea` based on the user prompt.

Yes. Use the tool_names filter during initialization to limit which operations your agent can perform. This adds an extra layer of control.

Data moves over secure HTTPS transports. The server manages all authentication, ensuring your innovation workspace remains locked down.

The server doesn't store your data; it acts as a pipe. It fetches live info from your workspace, meaning your data stays right where it belongs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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