How to Use the Guru MCP in Google ADK

Q: How do I search Guru using Google ADK?

You pass the toolset to your agent and call searchknowledgebase. It returns card content formatted for the Gemini context window.

Q: Can Guru manage my team lists for Google ADK?

It can. Use listworkspacemembers to pull team data directly into your Google ADK agent for permission-aware workflows.

Connect Google ADK to your Guru wiki for deep context reasoning using long-context Gemini models.

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Connect Guru MCP to Google ADK

Create your Vinkius account to connect Guru 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 Guru with Google ADK

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Deep knowledge retrieval for Google ADK

Gemini models handle massive contexts, and this server feeds them the right data. Use `search_knowledge_base` to pull board content directly into your agent's reasoning loop. It turns your wiki into a native data source for Google ADK. The agent reads through existing knowledge to make informed decisions without needing extra training.

Organize your wiki from Google ADK

Map your entire taxonomy using `list_knowledge_boards` and `list_knowledge_collections`. It provides a clear view of how your information is structured. Your agent uses this metadata to find the right collection for every new card. It keeps your workspace clean and searchable as your data grows.

Write and edit content with Google ADK

Your agent manages your knowledge lifecycle with `create_knowledge_card` and `delete_knowledge_card`. It handles the busy work of documentation. Everything is logged through the API. You can trust your agent to update cards when project requirements change on the fly.

Setup guide

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

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Common questions about Guru MCP in Google ADK

You pass the toolset to your agent and call `search_knowledge_base`. It returns card content formatted for the Gemini context window.

It does. The server is built for high-throughput calls, and you can verify the connection anytime with `verify_api_connection`.

It can. Use `list_workspace_members` to pull team data directly into your Google ADK agent for permission-aware workflows.

It translates your wiki actions into API requests. It lets your agent read, write, and list your Guru content using standard tool calls.

Your knowledge cards are transmitted over encrypted channels only when the agent requests them. No data is stored on the server permanently.

Use it with your favorite AI tools

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

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