Snyk Studio MCP

Snyk Studio MCP

An MCP server that enables easy integration with coding assistants, providing security context to AI agents. This runs locally using the Snyk CLI.

Category
Visit Server

README

Snyk Studio MCP

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:

  • Invoke Snyk scans:
    Trigger CLI security scans for code, dependencies, or configurations in your codebase in your current MCP context.
  • Retrieve results:
    Obtain Snyk security findings directly in your MCP-enabled tool or environment.

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 (IaC scan)
  • snyk_sbom_scan (SBOM file scan)
  • snyk_aibom (Create AIBOM)
  • 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.

This repository is closed to public contributions.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured