Skip to main content

Snyk Labs

Featured article

Guardrails for Agentic AI: From MCP Scanning to AI-BOM Visibility

Chrish Huszcza


AI agents are quickly moving from experimental prototypes to the backbone of enterprise workflows. Their strength lies in autonomy, the ability to make decisions, chain tasks, and interact with other systems without constant human oversight. At the heart of this capability is the Model Context Protocol (MCP), a framework that bridges large language models with the external tools, APIs, and data sources they rely on. By extending what an AI agent can see and do, MCP unlocks powerful new possibilities for automation and orchestration.

Latest Demos and Research

Featured Video

Vibe Coding with Claude Agentic AI Tool

Experiments

Where security meets curiosity

Explore projects from Snyk Labs

ai-bom-scan

Python

A tool to scan Snyk AI-BOMs for specific components in Snyk organizations

October 30, 2025


6

4

0

ai-promoter

Python

A simple web application that makes it easy for employees at your company to see and promote content you're creating!

October 30, 2025


3

0

0

mcp-server-nodejs-api-docs

JavaScript

MCP Server for the Node.js API documentation

August 18, 2025


4

2

0