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Vinkius

Checkmarx MCP, Ready to Go

Connect Checkmarx One to Claude or Cursor via this Connector to automate SAST scans, triage flaws, and find best fix locations for your AI agents.

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Automate vulnerability triage and SAST scanning within your development workflow.

Checkmarx MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Checkmarx Connector?

950ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 722ms
Average 950ms
Max 1690ms
Trend (improving) ↓ 17%
Daily latency
1690ms 7/12/2026
1039ms 7/13/2026
1003ms 7/14/2026
960ms 7/15/2026
1037ms 7/16/2026
819ms 7/17/2026
986ms 7/18/2026
897ms 7/19/2026
1051ms 7/20/2026
1023ms 7/21/2026
861ms 7/22/2026
747ms 7/23/2026
722ms 7/24/2026
971ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Checkmarx MCP 10 Tools for AppSec Scanning

Trigger scans, retrieve vulnerability data, and get best fix locations directly through your AI agent.

Cancel scan

Stop an active scan to save resources or because you've pushed a new commit.

Get project

Pull specific details for a project to ensure you're scanning the right branch.

Get kics results

Fetch infrastructure-specific findings like Terraform or Kubernetes misconfigurations.

List applications

See all applications and their aggregated risk metrics in your environment.

List bfl

Get the best fix location for a specific vulnerability based on a rule ID.

List projects

View all projects, their metadata, and their assigned application links.

List scans

See a history of all active and completed scans for a project.

Run scan

Start a new code scan and get the ID for tracking.

Get scan details

Check the status and engine results of a specific scan.

Get scan results

Download the full list of vulnerabilities and their locations from a finished scan.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Checkmarx MCP for Faster Vulnerability Triage in AppSec

For security engineers and DevOps folks who are tired of context-switching between security tools and their code editors. It's for the person who needs to move from finding a bug to fixing a bug as fast as possible.

AppSec Engineer

Triages high-severity vulnerabilities and maps them to specific lines of code during a sprint.

DevOps Engineer

Checks KICS results for Terraform and Kubernetes files before they hit production.

Software Developer

Gets the Best Fix Location (BFL) for a security bug and asks the agent to rewrite the code.

Frequently Asked Questions

Can I use Checkmarx MCP to find where to fix a bug? +

Yes, this Connector pulls Best Fix Location data directly. Your agent can tell you the exact line of code where a flaw lives and suggest the optimal spot to apply a patch.

Does Checkmarx MCP support Infrastructure as Code? +

Yes, it includes KICS results. You can ask your agent to check for misconfigurations in your Terraform, Kubernetes YAMLs, and Dockerfiles.

How do I connect Checkmarx to my AI agent? +

You can connect it by subscribing to the Connector via Vinkius and providing your Checkmarx One JWT Token. Once connected, your agent can perform all scan and triage actions.

Can I cancel a scan that is taking too long? +

Yes, you can ask your agent to cancel an active scan. This helps you save resources if you've pushed a new commit that makes the current scan redundant.

Does this work with my existing Checkmarx One account? +

Yes, this Connector is designed to connect to your existing Checkmarx One enterprise environment, giving your AI agent programmatic access to your existing security posture.

Can I see my Terraform misconfigurations? +

Yes, by pulling KICS results, your agent can identify specific infrastructure misconfigurations in your Terraform files and report them back to you instantly.

How can the AI help me fix a vulnerability faster? +

Once an issue is identified via scan results, ask your agent to pull the 'Best Fix Location' (BFL) using the query ID. Checkmarx mathematically finds the common root code block, and your AI can instantly rewrite that exact block to sanitize the flaw. You save hours tracing code paths.

Can the agent initiate a static code scan independently? +

Yes! Tell the agent to 'Run a scan on project ID X targeting the main branch'. It initiates the analysis array natively across Checkmarx One engines. You can poll for completion status later and retrieve the new dataset directly via chat.

Does it segregate AppSec results from Cloud infrastructure flaws? +

It does. Application flaws are pulled cleanly via get_scan_results, whereas misconfigurations tied to Docker, Kubernetes, or Terraform limits use a dedicated get_kics_results pipeline. The agent intrinsically separates the context for your DevOps team.

Your AI, connected to everything.

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