Building with MCP: Tools, Workflows, and Real Examples

​MCP (Model Context Protocol) is rapidly becoming the new standard for connecting AI models with practical tools.

​This hands-on workshop will examine how MCP links AI models like Claude to real-world tools, allowing developers to automate, expand, and monitor their workflows.

​We’ll cover:

• ​What is MCP: Definitions, Architecture, Capabilities

• ​Connecting and configuring the MCP tools inside Claude

• ​Using the MCP Inspector to explore and debug tool capabilities

• ​Building practical developer workflows with Git MCP, Claude Code, and Code Review MCP

​By the end of this workshop, you’ll be able to incorporate MCP tools into your development environment, add custom capabilities to AI models, and build more efficient, context-aware workflows.

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​About the speaker:

​Bhavani Ravi runs Flowexperts.ai, a consulting agency that helps companies adopt and build AI agents backed by data systems. She has a decade of experience building Backend systems and data platforms.  

​Bhavani is also an Apache Airflow Champion, international tech speaker, and LinkedIn Learning instructor. She loves teaching and explores that via corporate training under TheLearningDev. She has taught companies Python Backend, Langgraph, and MCP

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