Learning Center
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
How Does Model Context Protocol Handle Authorization and Authentication? Model context protocol (MCP) defines an authorization mechanism that enables clients to access restricted MCP servers on behalf of a resource owner. This mechanism operates at the transport layer and is for HTTP-based interactions. When implemented, MCP clients act as OAuth 2.1 clients, and protected MCP […]
MCP vs. A2A: Examples, Key Differences, and How to Choose
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 agent to use specific, standardized tools and data sources, while A2A enables […]
Top 5 MCP Catalogs in 2026 and Using Them Effectively
What Is an MCP Catalog? An MCP catalog is a directory of MCP servers that follow the model context protocol. It lists servers by function, capabilities, and supported operations, so a client can connect to them without manual setup. An MCP catalog usually provides descriptions of each server, supported tools, version information, and links to […]
MCP Security: Top 6 Risks and AI Security Best Practices
What Is MCP Security? The Model Context Protocol (MCP), an open standard that allows AI agents to connect to and interact with external tools, databases, and services. MCP security involves managing risks like prompt injection and unauthorized access to credentials through its direct pathways to enterprise resources. Its main goal is to secure the new, […]
Model Context Protocol: Principles, Use Cases, and Key Technologies
What Is Model Context Protocol (MCP)? Model Context Protocol (MCP) by Anthropic is an open specification proposed by Anthropic, which enables AI models, agents, and supporting infrastructure to share and manage context. MCP defines a set of message formats and APIs that formalize how context, which can include state, instructions, or data, is communicated between […]
9 Amazing Model Context Protocol Use Cases in 2026
What Are Common Uses Cases of Model Context Protocol (MCP)? Model Context Protocol (MCP) is an open interoperability standard for clear, structured communication between AI models, applications, and tools. It offers conventions and specifications for consistent management and exchange of contextual information across different AI platforms and workflows. Read our Beginner’s Guide to MCP for a deeper […]
MCP Architecture: Components, Lifecycle, and Client-Server Tutorial
What Is Model Context Protocol Architecture? The model context protocol (MCP) architecture defines a structured way to extend the capabilities of large language models (LLMs) beyond their training data. It introduces a standardized communication layer that allows LLMs to interact with external tools, systems, and data sources. MCP architecture enables dynamic and distributed integration of […]
Defining and Implementing MCP Tools: a Practical Guide
What Are Model Context Protocol (MCP) Tools? MCP tools are functions exposed by a Model Context Protocol (MCP) server that allow AI models (like Large Language Models) to interact with external systems, perform actions, and access data. These tools enable AI agents to do things like query databases, call APIs, write files, or trigger workflows […]
Building with MCP: Anthropic Guidance and Code Execution in Claude
What Is the Model Context Protocol (MCP) by Anthropic? The model context protocol (MCP) is a framework introduced by Anthropic for its language models, such as Claude. MCP improves dynamic tool use by enabling language models to interact with code execution environments and external tools in a structured manner. Unlike traditional prompt engineering or basic […]
MCP Gateway: How It Works, Capabilities and Use Cases
What Is a Model Context Protocol Gateway? A Model Context Protocol (MCP) gateway is an intermediary layer that simplifies how AI applications connect to multiple MCP servers. It acts as a single point of entry for AI agents like Claude or ChatGPT to access external tools, resources, and workflows through the MCP protocol. Instead of […]
How MCP Servers Work, Use Cases and Notable Examples
What Is an MCP Server? MCP servers are applications that expose AI agents to tools and services through the standardized Model Context Protocol (MCP), acting as a bridge between AI models and external data or functionality. They allow AI models to use tools like file systems, databases, or code repositories without needing to understand the […]