AI Insights Blog

How to Develop an MCP Server From Scratch

The Model Context Protocol (MCP) is fast becoming a foundational standard in the AI / agent ecosystem. It defines a uniform way for large language models (LLMs) or AI agents to access external tools, resources, and prompts via a well-defined protocol. MCP servers act as bridges between agents

What Is MCP Server and How It Works

In the landscape of AI agents and tool-enabled language models, MCP (Model Context Protocol) is emerging as a foundational standard. MCP Servers act as bridges that allow large language models (LLMs) or agent clients to call tools, access resources, and interact with external systems in a structured

How to Build AI Agents for Free

You can build powerful AI agents for free using open-source libraries, community platforms, and free-tier cloud services. Tools like LangGraph, LangChain, Hugging Face, and n8n make it possible to prototype and deploy agents without spending a single dollar.

How to Integrate AI Models or n8n Webhooks in a Django Project

Django is one of the most popular web frameworks for Python. Its batteries-included philosophy, scalability, and security make it the default choice for countless startups and enterprises. From social media platforms to banking dashboards, Django powers mission-critical applications worldwide.

How to use n8n — a comprehensive step-by-step guide

n8n is an open-source, low-code workflow automation tool that you can run locally, self-host in production (Docker, Docker-Compose, Kubernetes), or use as a hosted Cloud plan.

How Hugging Face Powers the Future of AI Agents

AI agents are rapidly becoming central to the next wave of innovation—autonomous assistants, reasoning bots, multi‑step workflows, agents that interact with tools/APIs, perform tasks inside UIs, coordinate with humans, and more.