Building an Agentic AI Assistant with LangGraph and MCP
This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.
A basic chatbot receives a question and generates a response. An AI agent can go further: it can select tools, execute actions, observe the results, and decide what to do next. I explored this approach in my Agentic AI Assistant with MCP Tools project, built with Python, LangGraph, the Model Contex…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-29 14:43 · DEV Community — AI
Building an Agentic AI Assistant with LangGraph and MCP