Provides a repository for cloning and accessing the agent code through Git
Leverages LangChain for tool composition, allowing the agent to use different tools together in a coherent workflow
Uses LangGraph for graph-based tool routing, enabling multi-turn interactions and sophisticated conversation flows
Powered by OpenAI GPT-4 with tool bindings to process user queries and generate appropriate responses
Utilizes packages from PyPI including FastMCP and the Wikipedia Python API to enable tool functionality
Built with Python 3.10+ as the foundation programming language for implementing the agent functionality
Enables searching Wikipedia for summaries, fetching page links, listing section titles, and retrieving specific section content from topics
🧠 Wikipedia Agent with LangGraph + MCP
This project implements a conversational AI agent that uses LangGraph and the MCP (Model Context Protocol) to search Wikipedia and return information using a tool-based architecture. It demonstrates multi-turn interactions with tool calling, Wikipedia queries, and LangChain tool composition.
📦 Features
🔍 Search Wikipedia for summaries and page links
📚 List all section titles of a given Wikipedia topic
📄 Fetch specific section content from a topic
🔁 Uses LangGraph for graph-based tool routing
🤖 Powered by OpenAI GPT-4 with tool bindings
🧩 MCP server supports composable, stateless tool APIs over
stdio
Related MCP server: Wikipedia MCP Server
🛠️ Technologies Used
Python 3.10+
OpenAI GPT-4 API