Agentic Planner

Example Use Cases

• 1

  Integrate multiple tools via MCP.

• 2

  Orchestrate actions using ReAct methodology.

• 3

  That require a simple in-memory conversation context for demonstration.

Description

This repository provides a simple demonstration of an AI Agent that takes actions through an Orchestrator Agent and tools implemented via the Model Context Protocol (MCP). It features a flow where user chat input triggers a ReAct agent combining LLM and MCP-style tool calls, with conversation stored in RAM for simplicity. The MCP server activates when tools are called, facilitating interactive agent behavior.