How to Use the 42Crunch MCP in Mastra AI

Q: How can I create a 42Crunch security gate in my CI/CD pipeline with Mastra AI?

Your Mastra AI agent uses triggeraudit on a new spec, then calls getauditreport to check the score. You use Mastra's workflow controls to have the agent fail the pipeline step if the score is below your threshold. It's a reliable way to enforce quality.

Q: Can a Mastra AI agent manage 42Crunch API collections automatically?

Yes, it's a perfect job for a Mastra agent. It can use listcollections to find the right project, then importapi to add new specs from a git repo or deleteapi to clean up deprecated ones. This becomes just one step in a much larger automation.

Q: What does the Mastra AI setup for the 42Crunch MCP server look like?

You'll npm install @mastra/mcp and instantiate the MCPClient in your agent's code. Point it to your Vinkius server URL, and Mastra automatically detects the transport and makes the tools available to your agent.

Q: How does Mastra AI handle failures when calling 42Crunch tools?

It's all automatic. If a call to triggeraudit fails from a network blip, the agent won't crash. Mastra's engine will retry the call a few times with increasing delays, which makes your automations much more robust.

Build resilient API security workflows with 42Crunch and Mastra AI. Automate audits, handle failures, and get alerts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect 42Crunch MCP to Mastra AI

Create your Vinkius account to connect 42Crunch 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 42Crunch with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Your Security Audits

This is for building hands-off security pipelines. Set up a Mastra AI agent that listens for a new commit. The agent's first step is to use the `import_api` tool to push the updated OpenAPI spec into your 42Crunch collection. Immediately after, the same agent calls `trigger_audit` to start the security scan. Mastra's workflow engine can then pause and poll for completion using `list_scans`. You just built a complete, automated audit process that runs in the background.

Build Conditional Security Pipelines

Mastra's real strength is conditional logic. Once an audit is done, your agent calls `get_audit_report` and parses the security score. This is where you build your rules engine. For example: if the score from `get_api` is below 85, the agent can create a high-priority ticket and notify a Slack channel. If the score is good, it can proceed with a deployment. You define these branches in your Mastra workflow, creating a true security gate.

Reliable Reporting with Mastra AI

You can deploy a Mastra agent to handle all your compliance reporting. Schedule it to run weekly. Its first job is to run `list_collections` and `list_apis` to get a full inventory of what needs to be checked. Then, it iterates through every single API, calling `get_audit_report` and `get_scan_report`. Because Mastra has automatic retries with exponential backoff, a temporary network issue or API rate limit won't kill your entire reporting job. The agent just waits and tries again, ensuring the workflow completes successfully.

Setup guide

Set up 42Crunch 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 42Crunch 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: "42crunch-mcp-client",
  servers: {
    "42crunch-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "42Crunch Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to 42Crunch tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent 42Crunch 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 42Crunch. 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 42Crunch 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 42Crunch MCP in Mastra AI

Your Mastra AI agent uses `trigger_audit` on a new spec, then calls `get_audit_report` to check the score. You use Mastra's workflow controls to have the agent fail the pipeline step if the score is below your threshold. It's a reliable way to enforce quality.

Yes, it's a perfect job for a Mastra agent. It can use `list_collections` to find the right project, then `import_api` to add new specs from a git repo or `delete_api` to clean up deprecated ones. This becomes just one step in a much larger automation.

You'll `npm install @mastra/mcp` and instantiate the `MCPClient` in your agent's code. Point it to your Vinkius server URL, and Mastra automatically detects the transport and makes the tools available to your agent.

It's all automatic. If a call to `trigger_audit` fails from a network blip, the agent won't crash. Mastra's engine will retry the call a few times with increasing delays, which makes your automations much more robust.

Your API security reports and OpenAPI specs are processed inside a zero-trust Vinkius environment. The MCP server only holds the data in-memory to execute the tool call. Once Mastra AI receives the result, the data is gone from the MCP host.

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