Introducing OX Security’s MCP Server
The latest advancements in artificial intelligence (AI) and their applicability to cybersecurity have a tantalizing effect on security and development teams. With a simple prompt, developers use platforms like Claude and Cursor to ”write” code in an instant. On the flip side, every AppSec vulnerability management vendor is rushing to build an AI co-pilot that allows their product to understand customers’ application landscapes at a deeper level and with greater context. The promise of AI in these vendor products is a “smart” mechanism that can quickly and accurately identify issues at the same pace AI is allowing developers to build software.
But this enticement has a few critical considerations: How can organizations supply the AI models with the real-world data needed to be truly useful…and correct? And how can an organization compensate for the variety of AI tools connected to their development and security environments?
As with many areas of cybersecurity before it—those that have strived to integrate and aggregate disparate and siloed tools and data—the answer is about straightforward, secure, and smart connections.
What is Model Context Protocol?
You may have recently heard a lot about “Model Context Protocol,” or “MCP,” for short. To baseline, and make sure we’re all on the same page, MCP is an open-source framework and open standard that normalizes how large language models (LLMs) and other AI tools integrate with external (or third-party) tools and data sources. It provides a universal interface—a standard format that allows any AI application to use any tool without custom integration code. The interface reads files, executes functions, and manages prompts. Maybe most importantly, MCP revolutionizes how AI agents interact with digital data beyond the training data they’re typically fed, allowing organizations to bring together all the data generated and used by disparate and siloed AI systems in the workplace.
Anthropic, the creator of MCP, recognized a massive need to help organizations respond to the immense growth in the use of AI in the workplace. MCP was thus born to alleviate the integration woes all too common in other areas of cybersecurity and IT.
Why does AppSec Need MCP?
As AI-generated code scales significantly and as AI is used more and more in enterprise IT and security, AppSec must also evolve to tackle the challenge of integrating AI systems. Without standardized access to source code, SBOMs, pipelines, runtime data, and policy frameworks, AppSec and vulnerability management tools risk producing generic, incomplete, or misleading results. MCP provides a consistent way to connect AI models to the right security data and tools and facilitate evidence-based vulnerability analysis, accurate prioritization, and safer automation across the SDLC.
For these reasons, OX is excited to formally announce the OX MCP Server. This functionality gives the OX Platform the power to make every AI security tool in our customers’ infrastructures smarter, and it allows OX to provide even more accurate evidence and guidance related to AppSec risk reduction.
Model Context Protocol and OX Security
Generative AI (GenAI) is powerful, but it’s only as good as the information it’s been given. In application security, that information must be accurate and deeply contextual. A generic AI model can tell its user about a SQL injection, but it can’t pinpoint whether that specific vulnerability exists in your application or its true business impact—especially if compromised. The generic model lacks context. And applicability.
The OX MCP Server solves this problem by providing a secure bridge between your AI tools and the rich, live data inside your OX Security instance. It allows AI agents—whether your team is using a third-party tool like Cursor or Claude for vibe coding, a custom-built internal assistant for efficiency, or a VS Code extension for development purposes—to talk directly to your security data. It’s like giving your AI tool a front-row seat to the secure data you trust, without compromising control over your environment.
How Does MCP Work?
The MCP is a structured, secure framework for API-driven conversations. Instead of a complex, open-ended connection, OX gives AI agents specific “tools.” These tools correspond to secure function calls that let the AI do things like:
- GetIssues: Fetch a list of open security issues.
- GetApplications: See all the applications and services in your environment.
- AddComment: Add a contextual note to an issue.
- MarkAsFalsePositive: Update an issue’s status for better triage.
This approach is revolutionary for two main reasons. First, it’s secure. Tokens authorize access, and then you have granular control over what each tool can do in your environment. Your team can scope access down to specific projects, repositories, or even individuals. This means you can give an AI system the ability to help a developer with their current project without giving it carte blanche access to your entire organization’s data.
Second, it’s about structured, purpose-built conversations. Instead of asking a vague question, an AI agent can prompt, “Run the GetIssues tool and find the top 10 critical issues in this repository.” This type of clear communication means the AI can identify the right data, every time, leading to more accurate and reliable responses.
Real-World Intelligence, Effortlessly
The premiere benefit of the OX MCP Server is that it makes your existing OX data exponentially more valuable. It turns raw information into actionable insights automatically.
Some common use cases for the OX MCPO Server include:
- A CISO preparing for an executive team or Board of Directors’ meeting: “Give me a (detailed/high-level) report on our critical vulnerabilities, grouped by severity, and tell me which teams own them.”
- A security analyst during triage: “This issue appears to be high-priority. Should I fix this or mark it as a false positive? What’s the historical context for similar issues in this application?”
- A developer in their IDE: “What are the top five vulnerabilities in the pipeline for the service I’m working on right now?”
With OX’s MCP Server, these are not just hypothetical questions; they are simple, conversational commands that the AI-powered features in OX can handle in seconds: Data is retrieved, context is applied, analysis is conducted. The result is a concise, accurate answer in the blink of an eye. It’s the ultimate ease of use; you now have the power of your security data without the hassle of navigating between different interfaces or manually correlating fragmented data.
The Future of AI Tooling: A Flexible AI Strategy
The launch of the OX MCP Server is a cornerstone of our broader AI strategy; we believe that the best approach isn’t to force you into a single, monolithic AI tool. The future is about flexibility and choice. By providing this open, secure, and structured protocol, we empower every customer to build or connect the AI tools that best fit their needs.
Whether your company is a large enterprise building a custom internal tool to automate security tasks or a small startup leveraging popular AI assistants, the OX MCP Server gives your team the foundation you need. It’s the foundation that allows AI to move beyond a simple chat interface to a true partner in your application security program.
This is more than a new feature—it’s a statement; OX is committed to securing the future of AI-driven application security, and that means using AI to improve our customers’ outcomes, and it means allowing our customers to use whatever AI tools they need to improve their own business outcomes. AI is here to stay, and we at OX understand that we can harness it for good for greater efficacy, intelligence, and intuitiveness. But these things only happen when AI is seamlessly integrated into workflows.
The Future of AI Tooling: A Flexible AI Strategy
The launch of the OX MCP Server is a cornerstone of our broader AI strategy; we believe that the best approach isn’t to force you into a single, monolithic AI tool. The future is about flexibility and choice. By providing this open, secure, and structured protocol, we empower every customer to build or connect the AI tools that best fit their needs.
