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

1. Click on "Deploy Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Wikipedia Agent MCP Server tell me about the history of artificial intelligence"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.