Equixly MCP Integration: Continuous security testing inside your AI coding assistant

Equixly launched an MCP integration that brings continuous, AI-driven penetration testing directly into AI coding assistants like GitHub Copilot and Claude. The integration allows developers to run security tests, retrieve findings, and confirm fixes without leaving their IDE, closing the gap between writing code and knowing it's secure. This enables security testing to happen at the same pace as development, addressing the traditional delay between code changes and vulnerability detection.

Equixly MCP Integration: Continuous security testing inside your AI coding assistant Gavin Sutton, Zoran Gorgiev Table of contents What is MCP, and why does it matter for security? what-is-mcp-and-why-does-it-matter-for-security The problem the Equixly MCP Integration solves: The gap between writing code and knowing it’s secure the-problem-the-equixly-mcp-integration-solves-the-gap-between-writing-code-and-knowing-its-secure How the Equixly MCP Integration works how-the-equixly-mcp-integration-works What Equixly tests, from inside your AI assistant what-equixly-tests-from-inside-your-ai-assistant Why continuous security testing matters for AI-first engineering teams why-continuous-security-testing-matters-for-ai-first-engineering-teams What Equixly is, in case you’re new here what-equixly-is-in-case-youre-new-here Get started get-started Find. Fix. Release. Without leaving your IDE. If you’re a developer working with GitHub Copilot, Claude, or another AI coding assistant, you’ve probably noticed that your AI assistant can now do a lot more than autocomplete. With the Model Context Protocol MCP , AI coding assistants can connect to external tools and services, turning your editor into a hub for the entire development workflow. Equixly is now part of that hub. The Equixly MCP Integration brings continuous, AI-driven penetration testing directly into the AI coding assistant you already use. So, there’s no new dashboard, no separate login, and no waiting for a security report to land in your inbox three sprints after you’ve moved on to something else. Just security testing that happens where you’re already working, at the pace you’re already working at. Here’s what that means in practice, and why it matters. What is MCP, and why does it matter for security? The Model Context Protocol is the standard that lets AI coding assistants talk to external systems such as databases, APIs, project management tools, and now, security platforms. Instead of an AI assistant being limited to the code in front of it, MCP lets it reach out, take actions, and bring information back into your workflow. For most teams, MCP has so far been about productivity and connecting AI assistants to ticketing systems, documentation, and deployment tools. Equixly’s MCP Integration extends that same capability to security testing. Your AI assistant becomes the interface through which you create services, run tests, retrieve findings, and confirm fixes inside Equixly’s continuous penetration testing platform https://equixly.com/platform/ . MCP turns your AI coding assistant into a security testing console without it ever feeling like one. The problem the Equixly MCP Integration solves: The gap between writing code and knowing it’s secure Here’s a familiar pattern… You write code, you ship it, and at some point — maybe days, weeks, or months later — a penetration test runs, and a report comes back. By then, the code has changed, the context has disappeared, and the finding feels disconnected from the work you’re actually doing. This is the structural problem with how security testing has traditionally worked, in that it operates on a different timeline to development. APIs are deployed continuously, and code changes daily, but security validation happens periodically or in scheduled batches that can’t keep pace. The result is a security gap where vulnerabilities introduced today might not be found for months. By the time they are, the team has moved on, the context has faded, and fixing the issue takes far longer than it should. Equixly’s MCP Integration closes that gap entirely by moving continuous security testing into the same environment and the same moment as the code itself. How the Equixly MCP Integration works The workflow is built around a simple loop: Connect → Prompt → Test → Fix → Retest . With the right setup, a single prompt can carry you through all of it. 1. Connect Add Equixly as an MCP server inside your AI coding assistant. Authentication is scoped to your organization, so each connection is secure and specific to your environment, with no shared credentials and no broad access. 2. Create Prompt your AI assistant to set up a new service or project in Equixly. Endpoints are discovered and mapped automatically based on your specification or documentation without the need for manual configuration screens, and it’s done in a single pane of glass so that you don’t have to switch to a separate platform. 3. Test Trigger a continuous penetration test directly from your prompt. The test runs inside Equixly against your live endpoints, testing for the OWASP API Security Top 10 https://equixly.com/blog/2023/11/28/owasp-api-security-top-10/ , business logic vulnerabilities https://equixly.com/blog/2024/08/14/api-business-logic-vulnerabilities/ , authorization flaws, and exploit chains that traditional scanners miss. You can check scan status, pause, or resume, all from the same chat interface. 4. Fix Findings come back with full exploit context and specific remediation guidance. You don’t just get a generic severity score, but a clear explanation of what’s exploitable, how, and what to do about it. 5. Retest Once you’ve made the fix, retest immediately from the same prompt. Confirm the vulnerability is resolved without ever opening a separate tool. The whole loop — find, fix, release — happens without leaving your IDE. What Equixly tests, from inside your AI assistant The MCP Integration doesn’t limit what Equixly can do, as it exposes the full platform. That means continuous testing across: APIs : REST, GraphQL, and other modern API architectures, tested for the full OWASP API Security Top 10, including business logic flaws and Broken Object Level Authorization BOLA https://equixly.com/blog/2025/10/07/authorization-matrix/ Web applications : Single-page applications and traditional server-rendered apps LLM integrations : Tested against the OWASP LLM Top 10 https://equixly.com/blog/2026/04/14/the-state-of-llm-security/ , covering prompt injection, excessive agency, and sensitive information disclosure MCP servers : Yes, including the MCP infrastructure https://equixly.com/blog/2026/02/26/offensive-security-for-mcp-servers/ itself, tested for command injection, SSRF, path traversal, and the authorization failures that emerge from how AI agents https://equixly.com/blog/2025/09/28/ai-agents-vs-agentic-ai/ interact with tools Every finding is exploit-validated before it reaches you. That means no false positives, no noise, and no time spent triaging findings that turn out not to be real. If Equixly flags it, it’s because Equixly’s Agentic AI Hacker has demonstrated that it’s exploitable. Why continuous security testing matters for AI-first engineering teams AI is changing how software gets built, but it’s also changing the risk landscape. Two things are true at once right now: AI coding assistants can introduce vulnerabilities into the code they help write , often without anyone noticing until much later. AI infrastructure itself — LLM integrations and MCP servers — is a new and largely untested attack surface . Equixly’s own research https://equixly.com/blog/2025/03/29/mcp-server-new-security-nightmare/ found command injection vulnerabilities in a significant share of MCP servers tested, many of which had never been security tested at all. The Equixly MCP Integration addresses both. It secures the code your team ships and the AI infrastructure your team is building on, all from the same place, using the same workflow, without adding a new tool to learn. For teams already operating in AI-first, automated workflows, this is the natural next step to fully automate the find-fix-retest loop, where security testing isn’t a separate phase or a separate team’s responsibility; it’s simply part of how the AI you’re already using works. What Equixly is, in case you’re new here Equixly is the agentic offensive security platform built for continuous penetration testing of modern applications and APIs https://equixly.com/blog/2026/04/06/continuous-penetration-testing-and-the-owasp-api-security-top-10/ . Instead of periodic, point-in-time assessments, Equixly’s proprietary Agentic AI Hacker operates continuously, discovering your full attack surface including shadow and undocumented endpoints , testing business logic and authorization boundaries the way a real attacker would, and validating exploitability before anything reaches your team. Get started If your team is already working inside GitHub Copilot, Claude, or another AI coding assistant, the Equixly MCP Integration is the fastest way to bring continuous, exploit-validated security testing into that same workflow with no new tools, no context switching, and no waiting for the next scheduled scan. Book a demo https://equixly.com/demo/ to see it in action or visit equixly.com https://equixly.com/ to learn more. FAQs What is the Equixly MCP Integration? The Equixly MCP Integration exposes Equixly’s continuous penetration testing platform as an MCP server, allowing AI coding assistants like GitHub Copilot and Claude to create services, run security scans, retrieve findings, and confirm fixes through natural language prompts, without leaving the development environment. What is MCP Model Context Protocol ? MCP is a standard that allows AI coding assistants and LLMs to communicate with external tools, services, and APIs beyond the editor itself, extending what an AI assistant can do in a development workflow. Which AI coding assistants work with Equixly’s MCP Integration? The integration is available for GitHub Copilot at launch, with Claude AI, ChatGPT, and Gemini support following shortly after. Does the Equixly MCP Integration test MCP servers themselves? Yes. Equixly tests MCP server infrastructure for vulnerabilities including command injection, SSRF, path traversal, and authorization failures, which emerge from AI agent and tool interactions. How does Equixly avoid false positives? Every finding from Equixly is exploit-validated, meaning the Agentic AI Hacker demonstrates that a vulnerability is genuinely exploitable before surfacing it, which eliminates the triage overhead of theoretical or pattern-matched findings. Is Equixly’s AI a general-purpose model like GPT-4 or Claude? No. Equixly’s Agentic AI Hacker is a proprietary model trained exclusively on offensive security methodology — attack patterns, exploit chains, business logic abuse, and API interaction sequences — rather than a general-purpose foundation model adapted with prompts. Gavin Sutton Head of Marketing Gavin is marketing leader with more than a decade of experience in the cybersecurity industry helping startups and scale ups grow internationally. He has a passion for working with disruptive technology companies who can reshape the security landscape with their innovative solutions. Zoran Gorgiev Technical Content Specialist Zoran is a technical content specialist with SEO mastery and practical cybersecurity and web technologies knowledge. He has rich international experience in content and product marketing, helping both small companies and large corporations implement effective content strategies and attain their marketing objectives. He applies his philosophical background to his writing to create intellectually stimulating content. Zoran is an avid learner who believes in continuous learning and never-ending skill polishing.