Tag: Python

Lately I’ve been closely following everything around the MCP protocol (Model Context Protocol), and recently I found a project that makes a lot of sense: MCPHero.

The reality is that although MCP is taking off, many “traditional” AI libraries like openai or google-genai still don’t have native MCP support. They only support tool/function calls. MCPHero comes to solve exactly this: make a bridge between MCP servers and these libraries.

What is MCPHero?

MCPHero is a Python library that lets you use MCP servers as tools/functions in native AI libraries. Basically, it lets you connect to any MCP server and use its tools as if they were native OpenAI or Google Gemini tools.

Mozilla AI surprises again: AI agents that work just by opening an HTML

A few days ago I came across a Mozilla AI project that really caught my attention: WebAssembly Agents. And after 30 years watching the industry complicate life with dependencies, installations, and configurations, seeing something that works just by “opening an HTML” made me smile.

The problem it solves (and we all know it)

How many times have you tried to test an AI project and encountered this?

In today’s world, geospatial data is everywhere. From map applications on our phones to global climate analysis, the ability to work with geographic information has become a fundamental skill for developers, data scientists, and analysts. Recently, I had the opportunity to explore Dr. Qiusheng Wu’s exceptional educational resource “Introduction to GIS Programming”, and I must say it is, without a doubt, one of the most comprehensive and accessible materials I’ve found for entering this fascinating field.

At Sevilla Developers Conf 2 I commented on some examples of who uses Go and for what.

Among others, these seemed interesting to me, and I’ll create a somewhat larger list that will serve us to see real use cases and success stories when choosing Go for certain solutions.