Model Context Protocol (MCP)
What Is an AI Control Plane?
An AI control plane is the governance layer that inventories, monitors, and enforces policy across every AI agent, LLM call, and MCP tool connection in the enterprise — the piece most companies are missing as agent counts scale from dozens to hundreds of thousands. The teams that treated AI agent governance as a future-state problem […]
ChatGPT MCP Support: What It Means for Enterprise AI
ChatGPT now connects to any remote MCP server and executes write actions. Here is what enterprise IT teams need to govern before enabling it at scale.
Best MCP Gateway Tools: Top 5 in 2026
MCP gateways act as centralized, secure intermediaries between AI agents and Model Context Protocol (MCP) servers, allowing organizations to manage, authenticate, and audit tool usage at scale. Key tools and platforms include Obot, Microsoft MCP Gateway, Docker MCP Toolkit, Traefik, and MCP Manager.
MCP with Claude: Basics, Quick Tutorial, and Top 10 MCP Servers
What Is Model Context Protocol? Model Context Protocol (MCP) is an open-source standard from Anthropic that allows AI models, including Claude, to securely interact with local data, external tools, and databases, such as GitHub, Google Drive, or Slack. It functions as a connector (“bridge”) for components like Claude Desktop or Claude Code, enabling capabilities like […]
MCP Tutorial: Building an MCP Server and MCP Client, Step By Step
What Is Model Context Protocol (MCP)? MCP (Model Context Protocol) is an open-source standard that allows AI applications to connect to external systems in a structured and consistent way. It acts as a bridge between AI models and external tools, data sources, or workflows. With MCP, applications like ChatGPT or Claude can access local files, […]
MCP Tool Discovery: How It Works and 5 Tools to Know in 2026
What Is MCP Discovery? MCP Discovery refers to the process used to find, identify, and catalog MCP-enabled resources, tools, and services within an AI ecosystem that uses the Model Context Protocol (MCP). It’s the capability that lets an AI system or security team automatically locate all of the MCP servers, endpoints, APIs, and tool definitions […]
MCP vs Function Calling: 7 Key Differences and Using Them Together
Introducing Model Context Protocol (MCP) and Function Calling Function calling lets an LLM directly call predefined tools, while MCP (Model Context Protocol) standardizes how LLMs find, use, and manage many tools across different models and providers. MCP acts as a universal layer to decouple tools from the AI, making systems more modular, scalable, and easier […]
Understanding MCP Clients: The Basics and a Quick Tutorial
What Is a Model Context Protocol Client? An MCP Client is the client-side component of the Model Context Protocol (MCP), an open standard that lets AI applications like large language models (LLMs) connect to external tools, data sources, and services in a consistent, secure way. An MCP client is typically embedded in an LLM-powered application […]
MCP Compliance: Model Context Protocol in Regulated Industries
What Are Key Compliance Considerations for Model Context Protocol (MCP)? Model context protocol (MCP) compliance refers to the efforts to ensure an MCP server operates in accordance with regulatory, security, and data governance requirements. MCP servers allow AI models to interact with external resources, such as internal databases, applications, and APIs, by providing them with […]
MCP Authentication: Step by Step Guide and Security Best Practices
Discover MCP authentication fundamentals, including OAuth-based authorization, token management, and security best practices for MCP deployments.
MCP Security Best Practices: The Complete 2026 Guide
MCP security best practices for enterprises: six core risks, a five-layer defense-in-depth framework, and how to evaluate MCP security solutions.
MCP vs. A2A: Examples, Key Differences, and How to Choose
This is part of a series of articles about Model Context Protocol. Introducing MCP and A2A MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) are both AI agent protocols that are considered complementary to each other. MCP focuses on an agent’s interaction with tools, while A2A focuses on collaboration between multiple agents. MCP allows an […]