How to Use the Delivery Integrity Prover MCP in Mastra AI

Build Mastra AI workflows that refuse to proceed until the agent proves it actually completed the requested task.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Delivery Integrity Prover MCP to Mastra AI

Create your Vinkius account to connect Delivery Integrity Prover to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Delivery Integrity Prover with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Conditional branching on task proof

Complex workflows break when an agent hallucinates a success state. You drop this MCP Server into your Mastra setup to force accountability. The agent calls `verify_delivery` and must provide empirical validation logs before the workflow engine allows the next step. If the validation fails, Mastra catches the rejection. You can use the built-in conditional branching to trigger an automatic retry, forcing the agent to fix the highlighted issues and try again.

Enforcing strict workflows via Mastra AI MCP Server integration

Agents often skip requirements when executing multi-step operations. This tool forces them to checklist all prompt requirements against target files. They must document the exact file paths modified during the run. You get a clear, structured verdict. The model commits to boolean pivots, giving your Mastra workflow a reliable signal to either proceed to the next node or halt execution.

Exposing gaps in execution

Sometimes a task finishes with missing pieces. The agent must explicitly expose any remaining gaps or limitations before claiming it finished the job. You see exactly what worked and what failed. The `verify_delivery` tool demands a clear statement of the task objective, so you know if the agent misunderstood the assignment from the start.

Setup guide

Set up Delivery Integrity Prover MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Delivery Integrity Prover tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "delivery-integrity-prover-mcp-client",
  servers: {
    "delivery-integrity-prover-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Delivery Integrity Prover Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Delivery Integrity Prover tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Delivery Integrity Prover transactions"
);
console.log(result.text);

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Delivery Integrity Prover now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Delivery Integrity Prover MCP in Mastra AI

Install @mastra/mcp and instantiate new MCPClient(). Pass your Vinkius endpoint URL in the servers configuration, then call mcpClient.listTools() to spread them into your agent's toolkit.

The tool itself rejects incomplete work, which you can catch in your workflow. Mastra's automatic retries with exponential backoff will force the agent to correct the highlighted issue before proceeding.

The tool immediately rejects the submission and returns the specific gap. Your workflow pauses until the agent addresses the missing target file or test output.

You can set requireToolApproval in Mastra if you want a person to review the validation logs. Otherwise, the boolean pivot from the tool can drive the workflow automatically.

Vinkius processes your execution logs and file paths inside a zero-trust environment. The ephemeral sandbox handles the validation request and vanishes instantly, leaving no trace of your proprietary task data.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript