How to Use the Memo Meister MCP in Google ADK

Q: How do I register this MCP Server in my Google ADK agent?

You use McpToolset with the StreamableHttpServerParameters pointing to your Vinkius URL. Then, pass that toolset object into the tools list when initializing your LlmAgent.

Q: Can I restrict which Memo Meister tools my Google ADK agent can access?

Yes, you can pass a toolnames list to your toolset configuration to expose only what is necessary. For instance, you can limit the agent to getmemo and listmemos if you want to prevent any modifications.

Q: Does this Memo Meister MCP Server work with Gemini's long context inside Google ADK?

Absolutely. Because this server exposes tools like listmemos and listmemocomments, your Google ADK agent can fetch massive amounts of raw text and feed it directly into Gemini's long context.

Q: How do I find out who is running these actions?

Your agent can call getme to check the current authenticated user details. This is useful for logging which specific service account or user profile is executing changes.

Feed your Google ADK agents massive context by connecting project notes directly to your enterprise Gemini workflows.

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Connect Memo Meister MCP to Google ADK

Create your Vinkius account to connect Memo Meister 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 Memo Meister with Google ADK

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Long-Context Note Synthesis

By using `list_memos` and `get_memo`, your agent can pull thousands of pages of project history directly into a single prompt. Gemini models love huge context windows. This lets your Google ADK agent analyze years of project history without losing track of details. It can process complex links between notes and generate summaries that actually make sense.

Enterprise Data Integration via MCP Server

Connect your cloud data warehouses directly to your documentation using `create_memo` to write insights directly into your workspace. Your agent can run analytical queries on BigQuery before saving the results. If you want to limit what the agent can touch, the framework lets you filter tools. You can restrict the agent to reading tools like `get_project` while blocking write tools entirely.

Collaborative Project Logging

Keep your team aligned by letting your cloud agents document their own progress with `add_memo_comment` to post updates. This ensures everyone stays in the loop. It can also check `list_memo_files` to verify that the correct technical schemas are attached to a project note before running a pipeline. This keeps manual documentation in lockstep with your actual cloud resources.

Setup guide

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

You use `McpToolset` with the `StreamableHttpServerParameters` pointing to your Vinkius URL. Then, pass that toolset object into the `tools` list when initializing your `LlmAgent`.

Yes, you can pass a `tool_names` list to your toolset configuration to expose only what is necessary. For instance, you can limit the agent to `get_memo` and `list_memos` if you want to prevent any modifications.

Absolutely. Because this server exposes tools like `list_memos` and `list_memo_comments`, your Google ADK agent can fetch massive amounts of raw text and feed it directly into Gemini's long context.

Your agent can call `get_me` to check the current authenticated user details. This is useful for logging which specific service account or user profile is executing changes.

All communication between your Google ADK agent and the server is handled via secure HTTP streams. Your actual memo text and project structures are processed on ephemeral instances that shut down immediately after execution.

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