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langgraph-mcp-and-multi-agent-workshop
Build and explore multi-agent systems with LangGraph, Azure OpenAI, and the Model Context Protocol (MCP). This workshop demonstrates how to create agents with memory, connect them using MCP, and orchestrate complex agent-to-agent workflows. Includes Jupyter notebooks, an example MCP server.
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Jupyter Notebook
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest sayanisalman/langgraph-mcp-and-multi-agent-workshopAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/sayanisalman/langgraph-mcp-and-multi-agent-workshop.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
langgraph-mcp-and-multi-agent-workshop — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt