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Model Context Protocol

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A New Player in Town: Google Antigravity

2025-11-25T09:30:32+00:00

On Wednesday, Google, the creators of Gemini, one of the top competitors of popular LLMs like ChatGPT (developed by OpenAI), recently launched their first AI agentic development IDE, known as Google Antigravity. Built for a wide range of customers, it is targeted to both professional developers working on large enterprise codebases and hobbyists vibe coding in their spare time. It provides installation support for Windows, MacOS, and Linux. In the rising wave of AI-powered IDEs, it provides a completely new and unique set of features over the usual and typical features that you would see in one, namely: Browser use Agents [...]

A New Player in Town: Google Antigravity2025-11-25T09:30:32+00:00

Cloud Infrastructure Management through Natural Language

2025-11-25T17:46:41+00:00

As organizations increasingly rely on cloud-based infrastructure, managing resources across multiple AWS services can become complex and time-consuming. Traditionally, developers and DevOps engineers rely on Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, or CDK to create, modify, and maintain cloud environments. However, with the rise of Large Language Models (LLMs) and the Model Context Protocol (MCP), a new approach to cloud management is emerging one where infrastructure can be managed through natural language conversations rather than static code. The AWS Cloud Control MCP Server bridges this gap. It allows LLMs and AI assistants to interact directly with [...]

Cloud Infrastructure Management through Natural Language2025-11-25T17:46:41+00:00

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server

2025-11-12T14:42:01+00:00

  Let’s be honest, keeping up with AWS feels like chasing a moving target. One minute you’ve mastered EC2 and Lambda, and the next, there’s a new service, multiple updates, and several ways to configure the same feature. For developers and architects exploring AI integrations, that learning curve becomes even steeper. AWS offers massive amounts of documentation—enough to fill a library—but finding what you actually need, like the right API reference or regional availability, can feel like searching for a needle in a haystack made of JSON.   Fortunately, the AWS Knowledge Model Context Protocol (MCP) Server changes the game. [...]

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server2025-11-12T14:42:01+00:00

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)

2025-11-12T14:40:49+00:00

  In today’s fast-growing world of artificial intelligence, Large Language Models (LLMs) like GPT, Claude, and Grok are becoming critical to digital transformation. These models can write human-like text, understand complex questions, and even automate business tasks. As LLMs became smarter, they faced a major problem: managing context. Early versions struggled to maintain consistent conversations, use real-time data, and handle large workloads. To solve this, Model Context Protocol (MCP) Servers were introduced. They help LLMs manage context in a dynamic, secure, and intelligent way.   Early context management of LLMs before MCP Servers Before MCP Servers, most LLMs relied on [...]

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)2025-11-12T14:40:49+00:00

From Concept to Code: Build Your First MCP Server

2025-08-27T16:27:09+00:00

For a long time now, LLMs or large language models have been going around the tech industry with its massive knowledge on languages. They can comprehend and even generate human language with bull's-eye fluency. Nevertheless, despite their strengths, powerful as they are, these intelligent models act in isolation. They have no hands to implement and interact with the world; they lack the ability to connect to databases, fetch data, or even trigger an action in a completely different application. Consequently, this lack of ability incapacitates the LLM's high potential when communicating with machines. This is why the introduction of the [...]

From Concept to Code: Build Your First MCP Server2025-08-27T16:27:09+00:00

Giving LLM Superpowers: The Magic of Model Context Protocol

2025-05-22T16:03:46+00:00

Large Language Models (LLMs) are already incredibly  powerful. They can generate human-like text, answer complex questions, and even write code. LLMs are great at creating content we can easily read and use but what if we could elevate them beyond just content creation? What if we could give them tools they could understand, use, and execute on their own? They would just need a simple description of the tools they have access to. Imagine giving your LLM superpowers, allowing it to do more by simply providing it with context about the tools you use and have. This isn't a futuristic [...]

Giving LLM Superpowers: The Magic of Model Context Protocol2025-05-22T16:03:46+00:00

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