Model Context Protocol

The Model Context Protocol is an emerging framework designed to enhance how AI systems understand and retain user-specific information during interactions. By structuring contextual memory in a secure and scalable manner, this protocol allows models to provide more personalized, consistent, and meaningful responses across sessions. It’s a vital step toward making AI smarter, more adaptive, and user-centric without compromising privacy.

AI Integrations That Actually Work: Connecting Teams, 3CX, and Helpdesk for Instant Resolutions Make this sqaure image

AI Integrations That Actually Work: Connecting Teams, 3CX, and Helpdesk for Instant Resolutions

Ravi Jain
AI-powered workflow automation to connect three critical business systems: Microsoft Teams, the 3CX phone system, and various helpdesk systems. It asserts that traditional integrations fail due to disconnected data and manual handoffs, but AI-driven solutions introduce intelligent context awareness and predictive routing to streamline support operations. The text details how AI enhances each platform, such as enabling ticket creation directly from Teams and providing intelligent screen pops during 3CX calls. Finally, the document positions a company named Technijian as the expert partner for implementing these integrated solutions, promising significant reductions in ticket resolution time and improvements in customer satisfaction. ... Read More
Model Context Protocol (MCP) Explained

Model Context Protocol (MCP) Explained: The Safer Way to Connect AI to Your Systems

Ravi Jain
An extensive overview of the security risks associated with integrating Artificial Intelligence (AI) tools—such as ChatGPT and Claude—into business systems, highlighting that this creates a massive, often unsecured, attack surface. It explains the Model Context Protocol (MCP), an open standard designed to standardize these integrations, but stresses that adopting MCP without proper security controls creates “keys to the kingdom” scenarios vulnerable to attacks like prompt injection and token theft. The text then outlines a comprehensive, 12-step security implementation playbook that organizations, particularly Small and Mid-sized Businesses (SMBs), must follow to safely deploy MCP, including mandatory authentication, robust input validation, and continuous security testing. Finally, the document details the services offered by Technijian, an IT provider specializing in secure MCP architecture design and AI security management to help SMBs navigate these complex threats and maintain compliance. ... Read More
MCP Servers

MCP Servers 101: Safely Exposing Your Data and Tools to LLMs 

Ravi Jain
MCP (Model Context Protocol) Servers, detailing their architecture, purpose, and benefits as a secure method for integrating Large Language Models (LLMs) with enterprise data and tools. The text outlines how MCP Servers solve the critical dilemma of achieving dynamic, context-aware AI while maintaining enterprise-grade security through features like multi-layered authentication, data filtering, and robust auditing for compliance. The document also introduces Technijian, a managed IT services provider, which offers specialized consulting, deployment, and ongoing support services to organizations looking to implement and manage MCP Server solutions across various industries like healthcare and finance in Southern California. Ultimately, the sources describe MCP Servers as the standardized, secure solution for maximizing LLM utility without compromising sensitive corporate resources. ... Read More
ChatGPT Can Now Connect to MCP Servers

ChatGPT Can Now Connect to MCP Servers: Complete Implementation Guide for 2025

Ravi Jain
AI, specifically ChatGPT's integration with Model Context Protocol (MCP), a new open standard developed by Anthropic. This integration, released in June 2025, allows businesses using ChatGPT Enterprise, Education, or Team to connect their proprietary data sources directly to ChatGPT, breaking down information silos and enabling employees to access company data through conversational AI. The document outlines the technical implementation process, crucial security considerations, and various business applications, while also discussing limitations, future developments, and the competitive landscape. It emphasizes the importance of trusted MCP servers and careful data governance to mitigate risks like prompt injection. ... Read More
OpenAI's Support Puts MCP in Pole Position as Agentic AI Standard

OpenAI’s Support Puts MCP in Pole Position as Agentic AI Standard

Ravi Jain
OpenAI is supporting the Model Context Protocol (MCP), an open-source framework created by Anthropic, aiming to establish a universal communication standard for agentic AI. This move seeks to break down data silos and enable AI agents to seamlessly interact across different platforms and systems. MCP provides a common language for AI, enhancing their capabilities and integration within enterprises. With Microsoft also adopting MCP, it is emerging as a leading contender for standardizing how AI agents operate. This development is poised to accelerate the adoption and innovation of agentic AI by improving interoperability and functionality. ... Read More