#MCP
516 related articles
AI Agents in Production: Identity Auth, MCP, and Agent Readiness in Practice
Descope's Kevin Gao breaks down how AI agents move from demo to production: agent identity auth, MCP authorization design, agent readiness pillars, and why LLM knowledge bases drive 15% of deals.
MCP Server Deep Dive: Transforming AI from Assistant to Autonomous DevOps Agent
MCP (Model Context Protocol) is Anthropic's open standard dubbed the 'USB-C port for AI.' This deep dive covers its 3-layer architecture, Resource/Tools/Prompts primitives, real-world DevOps incident response, and security best practices.
The Rise of MCP: Transforming Legacy APIs into AI-Ready Enterprise Servers
MCP (Model Context Protocol) is emerging as the USB-C of AI tool connectivity. Learn how to wrap legacy REST APIs and databases into AI-native MCP servers for enterprise AI Agent integration.
Next UI MCP: Helping AI Agents Build ServiceNow UI Components Correctly
Next UI MCP is an MCP server that lets AI coding agents like GitHub Copilot reliably use ServiceNow Horizon Design System components. Full walkthrough from empty folder to three UI Builder components.
Shadow AI Agents: The Hidden Security Blind Spot in Your Enterprise and How to Govern It
Shadow AI — untracked AI agents and MCP servers holding live production credentials — is your enterprise's hidden security blind spot. Learn how Akto Argus enables continuous discovery and dynamic inventory across cloud and on-prem environments.
Developer Rebuilds Photoshop with Claude and Open-Sources It — AI Agents Can Now Drive the Entire Workflow
Artcraft founder rebuilt 7 Adobe apps in Rust with Claude, open-sourcing them. Photocraft hit 29K GitHub stars in 9 days. 500+ commands let AI agents like Claude drive full editing workflows via MCP.
MCP Is Seriously Underrated: The Hidden Value of How AI Agents Connect to Tools
MCP is being re-evaluated. This article explains why early Token cost criticisms are outdated, and why MCP beats CLI on workflow reliability and key security for AI Agents.
MCP in Action: Integrating External Tools with the OpenAI Agents SDK
Learn how to use MCP (Model Context Protocol) with the OpenAI Agents SDK: build an MCP server, register tools, and connect via stdio, streamable HTTP, or Hosted MCP — with tool filtering tips.
Building a Monitorable AI Data Assistant with Slack + BigQuery + Langfuse
Step-by-step guide to building a monitorable AI data assistant using Slack, BigQuery, Langfuse, and Gemini — with MCP for secure queries and full token/cost tracing.
MCP vs API: How to Securely Connect AI Agents to Enterprise Data
A deep dive into MCP vs. traditional APIs: when to use each, how they work together, and how to secure AI agent access to enterprise data with OAuth, prompt injection defense, and permission boundaries.
Edi Life OS: A Self-Hosted Life Dashboard That Connects to AI via MCP
Edi Life OS is a self-hosted personal life dashboard with a built-in MCP server, letting AI directly access your schedule, tasks, and health data locally.
Python in Practice: Build an MCP Server from Scratch to Give LLMs Real-Time Web Data
Step-by-step guide to building an MCP server with Python and FastMCP, connecting it to Claude Code and Claude Desktop, and enabling LLMs to answer questions with live web data.
MCP Protocol Explained: Build Your AI Tool Server in Under 20 Lines of Code
MCP (Model Context Protocol) is the universal standard for connecting AI apps to external tools — the 'USB-C of AI.' Learn the architecture, stateless upgrade, and build your own MCP server in under 20 lines of code.
How Uber Solved MCP's Biggest Context Problem with Omni MCP
Uber's Omni MCP proxy server solves context explosion at 5,000+ tools using four meta-tools: discover server, discover tools, get tool schema, and invoke tool. A deep dive into its architecture, permissions, and response projection.
Enterprise AI Agents in Practice: Using Agents for Incident Root Cause Enrichment
How do enterprises deploy AI Agents? This article breaks down an Incident Enrichment use case: a response agent coordinating multiple diagnostic agents to safely collect evidence and reason about root causes via MCP and an identity gateway.
MCP Explained: How AI Agents Connect to Tools via the Model Context Protocol
MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to external tools. Learn how it powers Agentic AI to execute real-world tasks.
Governing MCP Servers at Scale: How Postman Fabric Gateway Solves the Control Problem
When an AI agent connects to 20 MCP servers and 600 tools, integration becomes a control problem. See how Postman Fabric Gateway solves tool discovery, access control, and observability.
MCP Protocol Vulnerability Disclosed: Google, JPMorgan Chase, and Three Other Organizations Have Patched the Flaw
An independent researcher found the same MCP server flaw at Google, JPMorgan Chase, and three other orgs: tools fetch URLs without validating the destination. All five have patched it.
MCP vs. API: Understanding the Tool Protocol Behind AI Agents
What's the difference between MCP and API? This article uses intuitive analogies to explain how Model Context Protocol differs from traditional APIs — and why they complement rather than replace each other.
MCP Agent Server Architecture: When AI No Longer Recognizes Your Brand
Exploring the brand visibility crisis in the AI conversation era: when ChatGPT ignores your brand, SERP #1 means nothing. A deep dive into MCP tool server agent architecture and brand monitoring methods.