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This detailed tutorial walks through the complete process of building and publishing Model Context Protocol (MCP) servers in multiple programming languages. Learn how to set up, configure, and deploy JavaScript, TypeScript, and Python MCP servers to NPM and PyPI. The 56-minute guide covers everything from basic repository setup to advanced MCP services implementation, including a specialized Python Document Converter MCP. Follow step-by-step instructions for editing and republishing servers, with explanations of common challenges in MCP service development. Perfect for developers looking to create their own MCP infrastructure for AI model integration.
Syllabus
0:00 How to create and deploy an MCP server?
0:35 Buy the scripts at trelis.com/ADVANCED-inference
1:18 Repo overview
2:29 Build and deploy a javascript server to npm
12:05 Adjustments for a Typescript MCP server
12:50 Build and deploy a python server to PyPI
29:57 Advanced Python and JS / TS MCP Services
31:26 Python Document Converter MCP
45:02 How to edit a typescript MCP server and re-publish it to npm
54:50 Why building MCP services is tricky
Taught by
Trelis Research