Model Context Protocol (MCP) - AI Build & Learn #1

Model Context Protocol (MCP) - AI Build & Learn #1
Welcome to AI Build & Learn a weekly AI engineering stream where we pick a new topic and learn by building together.
This episode covers Model Context Protocol (MCP), an open standard that helps AI models connect to tools, data sources, and apps through a consistent interface.
Resources

• GitHub: https://github.com/sagecodes/ai-build-and-learn
• Events Calendar: https://luma.com/ai-builders-and-learners
• Slack (Flyte AI Slack): https://slack.flyte.org/
• Hosted by Sage Elliott: https://www.linkedin.com/in/sageelliott/

In this stream

• MCP concepts overview
• Hands-on demo
• Discussion + practical examples

Community challenge (optional)
Try spending 30–90 minutes during the week learning or building something related to MCP, then share what you’re working on in Slack.
Note on Flyte / Union.ai
You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union.ai for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate.

• Union.ai: https://www.union.ai/
• Flyte: https://flyte.org/

Drop a comment with ideas for future topics (agents, RAG, MLOps, robotics, frameworks, and more).