How to Use the GitScrum Knowledge MCP in Google ADK

Q: How do I configure GitScrum Knowledge with Google ADK?

Instantiate McpToolset with the Vinkius HTTP URL, then pass it to your LlmAgent tools array. The ADK handles the MCP handshake and exposes the 28 available tools to Gemini.

Q: How does GitScrum Knowledge handle heavy search queries from Google ADK?

The globalsearch tool handles high-volume queries by returning structured, grouped results. This allows the model to process large batches of documentation in a single reasoning step.

Feed your long-context Gemini models structured workspace data using the Google ADK and GitScrum Knowledge.

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Connect GitScrum Knowledge MCP to Google ADK

Create your Vinkius account to connect GitScrum Knowledge 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 GitScrum Knowledge with Google ADK

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Long-context memory ingestion

`list_notes` retrieves the full text of your workspace notes to build massive context windows for Gemini. Because the model supports up to a million tokens, you can pull entire folders of documentation in a single step. This lets the agent analyze historical project decisions without hitting token limits. If the agent uncovers a pattern or finishes a task, it uses `create_note` to write the summary back to GitScrum. You can organize these summaries into folders using `create_note_folder` to keep your workspace structured.

Connecting an MCP Server to Google Cloud data

`global_search` acts as the bridge between your enterprise data in BigQuery and your GitScrum workspace. Your Google ADK agent can search wiki pages, notes, and channels, then cross-reference those files with your database tables. This merges live project documentation with structured business intelligence. When your agent needs to update the team on its findings, `send_message` posts updates directly to your discussion channels. This keeps human developers in the loop without leaving the Google Cloud console.

Wiki management for enterprise pipelines

`create_wiki_page` allows your automated pipelines to generate and publish documentation as code. This MCP integration ensures your documentation stays in sync with your actual codebase when running automated builds. If a build fails or writes bad data, `restore_wiki_revision` rolls back the wiki page to the last known good state. You can track these changes over time using `wiki_revisions` to maintain a clear audit trail.

Setup guide

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

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Common questions about GitScrum Knowledge MCP in Google ADK

Instantiate `McpToolset` with the Vinkius HTTP URL, then pass it to your `LlmAgent` tools array. The ADK handles the MCP handshake and exposes the 28 available tools to Gemini.

Yes, you can pass a list of allowed tool names to your toolset configuration to restrict access. For example, you can expose only `search_wiki` and `list_notes` while blocking write tools like `delete_note`.

No, this MCP Server runs on Vinkius serverless infrastructure. Your Google ADK agent connects via standard HTTP transport, so you don't need to manage background processes or open inbound ports.

The `global_search` tool handles high-volume queries by returning structured, grouped results. This allows the model to process large batches of documentation in a single reasoning step.

Your notes, wiki pages, and channel messages are transmitted securely via TLS directly to the GitScrum API. Vinkius runs the server in an isolated, zero-trust sandbox that never caches or stores your raw workspace data.

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