How to Use the Delivery Integrity Prover MCP in Google ADK

Q: How do I integrate Delivery Integrity Prover with my Google ADK agent?

You add it to your agent's toolset via the McpToolset, which connects to the MCP server endpoint. Then, you instruct your agent to call verifydelivery as the final step of any task that modifies data or produces an output.

Force your Gemini agents to prove their work. Get verifiable task completion for the Google ADK.

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Connect Delivery Integrity Prover MCP to Google ADK

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Setup Delivery Integrity Prover with Google ADK

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Ground Your Agent in Facts

Gemini's long context is powerful, but it can lead to agents summarizing intent instead of confirming actions. The `verify_delivery` tool fixes that. It forces your agent to stop summarizing and start proving, by matching every requirement to a specific log entry or file modification. Your agent has to show its work. It can't just say it updated a BigQuery table; it must provide the query logs that prove it. This turns a confident-sounding agent into a factually correct one.

Create an Audit Trail for Google ADK Actions

When your agent operates on enterprise data in Google Cloud, you need a record of what happened. Calling `verify_delivery` at the end of a task generates a structured report perfect for auditing. The agent is forced to document the exact changes it made and the proof of execution. This isn't just for debugging; it's for compliance. You get a clean, explicit log showing that the agent's actions directly fulfilled the user's request, which is critical when working with sensitive enterprise systems.

Build Resilient Agent Pipelines

In a multi-step workflow on Vertex AI, a single bad step can ruin the entire run. This tool acts as a circuit breaker between your pipeline stages. Before one agent's job is marked complete, it must pass the `verify_delivery` check from this MCP server. This stops errors from cascading. If an agent fails to generate the right report or update the correct record, the pipeline halts at the source of the problem. You fix the issue there, not five steps down the line.

Setup guide

Set up Delivery Integrity Prover 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 Delivery Integrity Prover 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="Delivery Integrity Prover_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Delivery Integrity Prover tools via MCP.",
    tools=mcp_tools,
)

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

You add it to your agent's toolset via the `McpToolset`, which connects to the MCP server endpoint. Then, you instruct your agent to call `verify_delivery` as the final step of any task that modifies data or produces an output.

It often catches things like missed requirements from the prompt, changes applied to the wrong file path, or steps that were hallucinated by the agent but never actually executed. It exposes the difference between what the agent thought it did and what it actually did.

It forces the model to perform a self-correction loop. Instead of just reasoning about the task, Gemini has to reason about its own output, check it against the source requirements, and justify its completion status with evidence.

The tool itself doesn't connect to your data. Your Google ADK agent connects to the data, performs the work, and then passes the results (like logs or file diffs) to `verify_delivery` via its MCP tool call for the final check.

The tool only processes the evidence your agent sends it, like task checklists and execution logs. Vinkius isolates every MCP call within a dedicated V8 Isolate Sandbox, ensuring your data isn't co-mingled and is wiped after the request completes.

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