Introducing Chainloop MCP Server: Bridging Your Software Supply Chain and AI

Miguel Martinez

Last month, we laid out our vision on how Chainloop is a secure bridge between your critical software supply chain data and the power of AI.

Today, we are delivering on that promise with the release of a preview of the Chainloop Model Context Protocol (MCP) Server.

“MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools” - modelcontextprotocol.io

Data pipeline

In other words, the Chainloop remote Model Context Protocol (MCP) server is a new way to interact with Chainloop natively from your AI clients or agents. This allows you to perform complex queries, craft compliance reports, or implement advanced agentic workflows—all securely and using the data stored and signed in Chainloop.

For example, you can ask Claude to get a compliance assessment of your project across your configured compliance frameworks, requirements and controls:

Claude example 1

Deep dive into policy and requirement evaluations for Cyber Resilience Act (CRA)

Claude example 2

… browse, download, or process any artifact or piece of evidence attested in Chainloop, and more!

Claude example 3

This is just the tip of the iceberg; This is the foundation for not only AI assistants but more importantly agentic workflows. For example, you will be able to use an agent written in Dagger to run a control gate in your CI/CD pipeline, stay tuned!

We are just getting started. However, we love feedback and learn about what you can build with this, so don’t hesitate to give it a try, and let’s chat!