MCP Walkthrough: From Basics to Full Chatbot
2026An MCP-powered research assistant demonstrating the Model Context Protocol (MCP) using FastMCP and OpenAI. This project acts as a step-by-step walkthrough, progressing from basic tool calling to a multi-server chatbot with resources, prompts, and Claude Desktop integration.
Progression
- Basic Tool Calling: OpenAI tool calling without MCP to understand the baseline.
- Single Server Chatbot: Replaces manual definitions with an MCP client that automatically discovers tools from the server.
- Multi-Server System: Connects to multiple MCP servers, automatically routing tool calls.
- Full-Featured Chatbot: Integrates MCP resources (like dynamic topics) and prompts alongside tools.
Features & Integrations
- Tools: Search arXiv papers and extract details.
- Resources & Prompts: List available folders, read dynamic resources, and generate structured research prompts.
- Claude Desktop: Integrated as a local and remote research server within Claude Desktop.
- Deployment: Features both
stdioandStreamable HTTPtransports, with remote deployment on Render.com.
- Repository
- GitHub
- Platform
- Python CLI, Render.com
- Stack
- FastMCP, Model Context Protocol, OpenAI, Python, Claude Desktop