How to Use the Checkmarx MCP in Mastra AI

Q: How do I initialize the Checkmarx MCP Server inside Mastra AI?

Install @mastra/mcp@latest. Instantiate MCPClient with your Checkmarx server URL, then spread mcpClient.listTools() directly into your agent's tool array.

Q: Can Mastra AI require human approval for Checkmarx scans?

Yes, you can set requireToolApproval on destructive actions like cancelscan. The workflow pauses until a human reviews the request.

Q: What happens if a Checkmarx scan fails in Mastra AI?

Your workflow can catch the failure from getscandetails. You can then trigger a conditional branch to notify your Slack channel or open a Jira ticket.

Build resilient AppSec workflows in Mastra AI that automatically retry Checkmarx MCP Server scans and handle engine failures gracefully.

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Connect Checkmarx MCP to Mastra AI

Create your Vinkius account to connect Checkmarx 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.

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Setup Checkmarx with Mastra AI

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Mastra AI Checkmarx MCP Server Workflows

`run_scan` triggers new security checks directly inside your Mastra AI workflow. If the network drops or the engine stalls, the framework's built-in exponential backoff automatically retries the request. You don't write any custom retry logic. When the job finally finishes, `get_scan_details` verifies which SAST or KICS engines fired. If an engine failed, you can branch the workflow to alert an admin immediately.

Isolate the Best Fix Location

`list_bfl` hunts down the exact query ID string for a specific vulnerability node. Your agent grabs this data to pinpoint exactly where a developer needs to patch the source code. If the wrong branch was targeted, `get_project` pulls the correct source control context. Then you can use `cancel_scan` to kill the bad job before it wastes more resources.

Map Your Entire Risk Surface

`list_applications` aggregates risk reporting across multiple microservices. Your Mastra AI agent loops through these overarching containers to build a complete picture of product security. Inside those containers, `list_projects` identifies the specific codebases. Finally, `get_kics_results` flags any Dockerfile or Kubernetes YAML misconfigurations tied to those projects.

Setup guide

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

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

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

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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 Checkmarx. 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 Checkmarx MCP in Mastra AI

Install `@mastra/mcp@latest`. Instantiate `MCPClient` with your Checkmarx server URL, then spread `mcpClient.listTools()` directly into your agent's tool array.

Yes, you can set `requireToolApproval` on destructive actions like `cancel_scan`. The workflow pauses until a human reviews the request.

Mastra auto-detects whether your endpoint uses Streamable HTTP or SSE. You just provide the Vinkius URL and the framework handles the connection.

Your workflow can catch the failure from `get_scan_details`. You can then trigger a conditional branch to notify your Slack channel or open a Jira ticket.

The server processes sensitive vulnerability states and exact lines of code where flaws exist. Vinkius wraps this entire operation in a strict zero-trust V8 Isolate, meaning your source code paths are never exposed to shared memory.

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