I Built an MCP Server So Claude Could Do Accounting Tasks

Description

In this video, I show the difference between a remote MCP server and a local MCP server by walking through two practical examples. First, I connect Claude to a remote Excalidraw MCP server to generate a simple process diagram. Then I build my own local accounting MCP server in Python so Claude can do real accounting-style tasks like: calculate materiality flag unusual journal entries use Python functions as tools through natural-language interaction I also show the bigger shift MCP creates. In the old workflow, I’d write the Python code, decide when to call the LLM, build the prompt, send the API request, parse the response, and route the next step myself. With MCP, I still keep the core Python logic — but now I can expose that logic as tools in a standard way, so a client like Claude can discover and use it naturally. In other words: Standalone Python gives me the logic. MCP gives the model a standard way to use that logic. If you’re interested in: MCP for beginners Claude Desktop MCP setup local vs remote MCP Python tools for LLMs AI for accounting workflows building an AI accountant this video is for you. Video Chapters 00:00 Introduction to MCP Servers 00:05 Remote vs. Local MCP Servers 00:10 Excalidraw Remote MCP Server Example 00:53 Local Accounting MCP Server Example 01:51 The Power of MCP Workflow 04:01 How to Connect to a Remote MCP Server (Excalidraw) 08:10 Building a Local MCP Server with Python 10:37 Transforming Python Code into an MCP Server 12:10 Adding a Local MCP Server to Claude Desktop 15:40 Summary of MCP Server Types 16:04 Importance of MCP for Accountants