MCP – Model Context Protocol

MCP, short for Model Context Protocol, is a cutting-edge standard that empowers AI systems to remember relevant user data securely across interactions. Designed to boost continuity, personalization, and trust, MCP bridges the gap between short-term memory and long-term AI understanding. By maintaining structured context, MCP enables intelligent systems to deliver more meaningful, user-aware experiences while respecting privacy boundaries.

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