How to Use the GitScrum ClientFlow MCP in Google ADK

Q: How do I install GitScrum ClientFlow with Google ADK?

Install the ADK via pip and use McpToolset with your Vinkius HTTP transport URL. Pass the toolset object directly to your LlmAgent to expose all twelve tools immediately.

Q: Can my Google ADK agent use GitScrum ClientFlow to create invoices automatically?

Yes, your agent can call createinvoice using structured JSON payloads. You can restrict this tool to specific agents in Google ADK using the tool name filter during initialization.

Run enterprise-grade billing and project tracking agents on Google ADK using real-time GitScrum data.

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Connect GitScrum ClientFlow MCP to Google ADK

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

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BigQuery-powered financial analysis

`project_budget` connects your Gemini-powered agent directly to your active project budgets. By combining this tool with Google ADK, your agent can cross-reference live budget limits with legacy data stored in BigQuery. The agent reads financial thresholds and runs predictive models on Vertex AI to forecast burn rates. This gives your finance team early warnings on potential project overruns.

Long-context client history audits

`list_time_entries` retrieves deep historical records of developer hours across your entire portfolio. Since Gemini supports over a million tokens of context, your Google ADK agent can ingest years of time logs at once to find operational inefficiencies. You can also call `list_invoices` and `list_proposals` to feed the agent complete client histories. It analyzes past billing cycles and contract terms to recommend pricing adjustments for future proposals.

Client dashboards via MCP Server

`clientflow_dashboard` provides a high-level operational overview that your agent can fetch on demand. This tool lets your Google ADK agent build automated status reports for your account managers. If a client requests an update, the agent uses `get_client` to pull contact details and emails them a summary of active tasks. You eliminate manual status reporting.

Setup guide

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

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Common questions about GitScrum ClientFlow MCP in Google ADK

Install the ADK via pip and use `McpToolset` with your Vinkius HTTP transport URL. Pass the toolset object directly to your `LlmAgent` to expose all twelve tools immediately.

Yes, your agent can call `create_invoice` using structured JSON payloads. You can restrict this tool to specific agents in Google ADK using the tool name filter during initialization.

The Vinkius sandbox handles high-throughput requests without performance degradation. Your agent can repeatedly call `list_time_entries` or `list_clients` to populate Gemini's long-context window.

Google ADK supports both Stdio and HTTP transports. For managed cloud deployments on Vertex AI, we recommend using the secure MCP endpoint provided by Vinkius.

The MCP Server acts as a secure bridge, and Vinkius does not store your budgets or time tracking logs. Your data is sent directly to your enterprise GCP instance where standard Google Cloud privacy policies apply.

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