Demonstrates how to build an AI agent using the Model Context Protocol (MCP) to connect large language models with external tools like Octopus Deploy and GitHub. The tutorial covers creating a Python application with LangChain that can autonomously perform tasks like risk assessment of code changes by orchestrating multiple services through natural language instructions.
Table of contents
PrerequisitesDependenciesText processing functionsExtracting responsesSetting up MCP serversRunning the agentThe complete applicationChallenges with agentic AINext stepsConclusionTags:Sort: