The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Studio MCP listing page.
MCP (Model Context Protocol) is an open protocol that standardizes how applications share context with large language models.
MCP can provide AI systems with additional information needed to generate accurate and relevant responses for use cases where the AI systems do not have the context, by integrating the AI systems with tools and platforms that have specific capabilities.
You can integrate Snyk MCP into MCP-supporting tools to provide Snyk security context.
Snyk is introducing an MCP server as part of the Snyk CLI. This allows MCP-enabled agentic tools to integrate Snyk security scanning capabilities directly, thus bridging the gap between security scanning and AI-assisted workflows.
In environments or applications that use MCP, you can use the snyk mcp CLI command to:
The Snyk MCP server supports integrating the following Snyk security tools into an AI system:
snyk_sca_scan (Open Source scan)snyk_code_scan (Code scan)snyk_iac_scan (IaC scan)snyk_container_scan (Container scan)snyk_sbom_scan (SBOM file scan)snyk_secret_scan (Secret detection scan)snyk_aibom (Create AIBOM)snyk_package_health_check (Package health and security assessment)snyk_trust (Trust a given folder before running a scan)snyk_auth (authentication)snyk_logout (logout)snyk_auth_status (authentication status check)snyk_version (version information)Running snyk_sca_scan may execute third-party ecosystem tools (for example, Gradle or Maven) on your machine to fetch the project's dependency tree.
For more details, see the Snyk MCP installation, configuration and startup and Troubleshooting for the Snyk MCP server pages.
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