CircleCI is enhancing its platform by integrating AI capabilities through the development of a Model Context Protocol (MCP) server, allowing AI assistants to efficiently access and interpret CircleCI data in real-time. This integration aids developers in debugging, analyzing test results, and optimizing pipelines using natural language. CircleCI is also implementing the llms.txt standard, proposed by Jeremy Howard, which is designed to address context limitations faced by large language models (LLMs) by guiding them to the most relevant content on a website. The llms.txt standard complements CircleCI's MCP work and includes creating a structured Markdown version of important web pages to improve AI interaction. Future plans include automating markdown generation and expanding the implementation to documentation sites, enhancing AI-powered tools' ability to access and utilize CircleCI's resources. This initiative is part of CircleCI's broader AI strategy, aimed at improving the accuracy of AI-assisted responses, enhancing the developer experience, reducing support burdens, and increasing content discoverability.