How to Use the Advice Slip MCP in Google ADK

Q: How do I register the Advice Slip MCP Server with Google ADK?

Instantiate McpToolset using the Vinkius streamable HTTP URL. Pass that toolset object into the tools list when initializing your LlmAgent.

Q: Can I restrict which Advice Slip tools my Google ADK agent can access?

Yes. Use the optional toolnames filter in the ADK toolset configuration to expose only specific tools. For example, you can limit the agent to getrandomadvice and block search.

Feed curated advice into your Google ADK enterprise workflows and Gemini long-context runs.

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Connect Advice Slip MCP to Google ADK

Create your Vinkius account to connect Advice Slip 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 Advice Slip with Google ADK

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Query Advice by Keyword in Google ADK

The `search_advice` tool searches the advice database using a keyword string to find relevant life lessons. Gemini models use this MCP server to pull contextually appropriate guidance when analyzing user logs or emails. Because the ADK supports long-context reasoning, you can feed dozens of search results into a single prompt. The model processes the entire list to synthesize a tailored response for your enterprise users.

Instant Random Advice Retrieval

The `get_random_advice` tool retrieves a single random piece of advice from the database. This tool works out of the box when you register the Advice Slip MCP Server with your toolset. Google Cloud developers can use this tool to add lighthearted or motivational prompts to terminal interfaces. The ADK handles the transport layer so your LlmAgent receives the raw text directly.

Direct Advice Reference via ID

The `get_advice_by_id` tool fetches a specific piece of advice using its numerical identifier. When your agent stores a reference to a useful slip in BigQuery, it uses this tool to pull the exact text back later. This direct lookup bypasses search latency completely. Your LlmAgent executes the call, gets the advice, and continues its reasoning loop inside Vertex AI.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Advice Slip. 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 Advice Slip MCP in Google ADK

Instantiate `McpToolset` using the Vinkius streamable HTTP URL. Pass that toolset object into the `tools` list when initializing your `LlmAgent`.

Yes. Use the optional `tool_names` filter in the ADK toolset configuration to expose only specific tools. For example, you can limit the agent to `get_random_advice` and block search.

Yes. The ADK allows Gemini to hold millions of tokens of context, making it easy to pass numerous results from `search_advice` into a single reasoning step without running out of memory.

The ADK supports both Stdio and Streamable HTTP transports. For hosted Vinkius deployments, you will use the Streamable HTTP transport with your endpoint token.

The MCP server only transmits the search keywords and numeric advice IDs required to fetch the slips. Vinkius runs the server in an ephemeral sandbox, ensuring your Google Cloud data and BigQuery records remain entirely isolated.

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