How to Use the Lead Time Analyzer MCP in Google ADK

Q: Does Lead Time Analyzer support restricted tool sets in Google ADK?

Yes, use the toolnames filter to expose only what your specific agent needs. This keeps your agent's interface clean and prevents unauthorized tool usage.

Connect Lead Time Analyzer to Google ADK to turn your BigQuery logistics data into actionable supply chain intelligence.

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Connect Lead Time Analyzer MCP to Google ADK

Create your Vinkius account to connect Lead Time Analyzer to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Lead Time Analyzer with Google ADK

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Decompose lead time with Google ADK

Connect `analyze_lead_time_composition` to your existing BigQuery datasets to map your entire order-to-delivery cycle. It turns raw event logs into a clear, readable breakdown of where time is actually spent. You'll see the real story behind your cycle times. This is the first step toward cutting out the dead weight that's been slowing down your operations.

Project impact with this MCP

Use `calculate_reduction_impacts` to run scenarios on your production data. It calculates the downstream effects of optimizing specific transit or manufacturing stages in real-time. Cut to the chase. You need to know which investments pay off, and this tool gives you the hard numbers to justify your operational changes.

Stabilize your operations

Apply `evaluate_process_volatility` to pinpoint which stages create the most noise in your delivery schedule. High variance is often worse than a consistent delay. Stability is the goal here. Once you isolate the volatile stages, you can adjust your planning to account for the unpredictability, keeping your customers informed with accurate dates.

Setup guide

Set up Lead Time Analyzer 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 Lead Time Analyzer 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="Lead Time Analyzer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lead Time Analyzer tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Lead Time Analyzer MCP in Google ADK

You instantiate an McpToolset with the server URL and include it in your LlmAgent tool list. It handles the transport layer so you can focus on building your supply chain logic.

Yes. Since your agent can ingest massive amounts of data, you can run multiple analyses across different regions and feed the results into a single context window for a broad overview.

Yes, use the tool_names filter to expose only what your specific agent needs. This keeps your agent's interface clean and prevents unauthorized tool usage.

All communication happens over secure transport channels. The MCP operates strictly on anonymized event timestamps and stage tags, never touching your PII or customer-facing billing information.

You can. Google ADK allows you to pick the transport that fits your deployment architecture. Most enterprise setups prefer the HTTP transport for better scalability across your infrastructure.

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