Snyk Language Server

The Snyk MCP server bridges the powerful security scanning capabilities of the Snyk CLI into AI‑driven development workflows. By exposing a set of resources, tools, and prompts that mirror the native Snyk CLI commands, it allows an assistant such as Claude to query and interpret vulnerability data directly from a project’s codebase, dependencies, containers, or infrastructure-as‑code. This removes the friction of manually running scans and parsing output, enabling developers to receive actionable security insights in real time while they write code or review pull requests.

At its core, the server performs four types of scans that cover the most common attack surfaces: Open Source (dependency vulnerabilities), Code (static analysis of source files), Container (image and Kubernetes security), and IaC (Terraform/Kubernetes configuration flaws). Each scan type is exposed as a distinct tool within the MCP, and the server can return structured JSON reports that include severity, CVE references, remediation paths, and suggested fixes. Developers can ask the assistant to “scan my current branch for open source vulnerabilities” or “list container image issues in this Dockerfile,” and the server will execute the appropriate Snyk CLI command, parse the results, and hand them back in a format ready for further processing or display.

Key capabilities include:

• Language‑agnostic integration: The server supports all languages and package managers that the Snyk CLI can handle, from JavaScript npm packages to Go modules, ensuring broad applicability across diverse codebases.
• IDE and CI/CD friendliness: By mirroring the CLI’s ability to run in local terminals, IDEs, or CI pipelines, the MCP server can be invoked from a pull‑request bot, continuous integration job, or even during live coding sessions.
• Rich contextual prompts: The server’s prompt definitions guide the assistant in asking for missing information (e.g., a project path or container image tag) and interpreting the results, making interactions feel natural rather than command‑line oriented.

Real‑world use cases abound. A security‑first team can embed the MCP in a pull‑request workflow where every merge request automatically triggers an Open Source and Code scan, with the assistant summarizing findings and recommending patches. In a DevOps pipeline, the container scan tool can validate images before deployment, preventing vulnerable releases from reaching production. For infrastructure teams, the IaC tool can flag misconfigurations in Terraform modules as they are edited, allowing developers to correct them before code review.

What sets this MCP apart is its tight coupling with the Snyk ecosystem’s continuous updates and threat intelligence. Because the server simply invokes the latest CLI, any new vulnerability database refresh or scanning feature becomes immediately available to AI assistants without additional maintenance. The result is a seamless, up‑to‑date security layer that scales with the project’s growth and complexity, all while keeping developers in a single conversational interface.