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40 posts
A governance audit pipeline reported success on all 15 runs, yet produced no actual measurements. The exit code alone cannot distinguish a clean result from a failed one, so teams must verify that result files exist before trusting a green light.
A security check that finishes successfully can still leave no results. When the result files are missing, a zero score means "not measured," not "no risk," so teams need a storage rule before they adopt any scoring tool.
Roadmap promises and the published specification are two different things. This article measures how much data a program loads the moment it connects, and checks which roadmap features exist in the published specification.
A 200-tool MCP catalog triggered ten list calls and 62,708 bytes before the first user request. The practical response is to budget catalogs now and keep identity standards behind an adapter.
MCP is not the main cost lever for AI agents. A controlled study of seven harnesses and five models, plus measured tool payloads, shows which layer sets cost.
I built a TypeScript MCP client with @modelcontextprotocol/sdk v1.29.0: calling server tools and reading resources programmatically, without Claude Desktop.
Build a working TypeScript MCP server in 30 minutes with @modelcontextprotocol/sdk and Zod v4: tool registration, transport testing, and public API integration.
Convert MCP stdio servers to remote Streamable HTTP services. Covers stateful vs stateless session modes, Docker and Cloudflare Workers deployment patterns, with real experiment logs using TypeScript SDK v1.29.0.
AWS MCP Server went GA May 2026. Connect 31 CloudWatch and 29 IAM tools to Claude Code. IAM condition-key architecture and honest real-world evaluation included.
Ship a Python MCP server in 30 lines with FastMCP 3.2.4. The @mcp.tool(), @mcp.resource(), and @mcp.prompt() decorators expose tools Claude and Cursor call.
A hands-on migration from OpenClaw to Codex+Nanobot. launchd scheduling, Telegram bridge, MCP host tradeoffs, and tips for a lightweight AI agent toolchain.
A practical comparison of MCP, A2A, and Open Responses: design goals, ecosystems, and how to combine them in real-world AI agent projects in 2026.
April 2026: 52% of production MCP endpoints are failing. Step-by-step checklist: Kubernetes config, Streamable HTTP migration, health checks, and OAuth 2.1.
Run an offline AI tool pipeline with Ollama, Gemma 4, and FastMCP, no internet needed. Built for medical, legal, and finance where data stays on the premises.
A hands-on tutorial for building an MCP server from scratch using Python FastMCP. Covers Streamable HTTP transport setup, tool implementation, and Claude Code integration from real experience.
How Stripe produces over 1,300 PRs weekly with autonomous coding agents called Minions. An analysis of the Blueprint architecture, sandboxed VMs, and 3-tier feedback loop behind the system.
MCP has crossed 97 million monthly downloads and become the de facto standard, but there is no control layer governing which tools agents call and how often. The MCP Gateway pattern addresses this gap.
According to the GitGuardian 2026 report, repositories using AI coding tools leak secrets at twice the GitHub average. Over 24,000 credentials were exposed in MCP config files alone.
Analyzing the architecture, core capabilities, and production deployment strategies of the Hindsight MCP memory system that solves the AI agent memory problem.
How MCP Apps transform AI agent UX—from sandboxed iframe and JSON-RPC bidirectional communication architecture to real implementation code. A complete guide from an Engineering Manager perspective.
Connecting MCP servers injects all tool schemas into context every turn—362,000 tokens wasted for 120 tools over 25 turns. mcp2cli solves this with CLI-based on-demand discovery, cutting costs by 96–99%.
Google A2A and Anthropic MCP are complementary, not competing. An EM/CTO view of the two protocols' roles and strategies for running multi-agent systems safely in production.
The MCP attack surface is expanding fast. Here's an analysis of 30 CVEs, a three-layer attack model, and an enterprise security hardening checklist for engineering leaders.
Analysis of Anthropic Claude Cowork enterprise features. Plugin Marketplace, MCP connectors, Excel and PowerPoint integration — a CTO strategy guide for org-wide AI adoption.
Anthropic donated MCP to the Linux Foundation, with OpenAI, Google, and Microsoft on board. With 76% of companies exploring adoption, here is a practical strategy guide for EMs and VPoEs.
Atlassian has officially launched AI agents in Jira and adopted MCP platform-wide. Here's what engineering managers need to prepare for organizational change.
Chrome 146 embeds MCP server capabilities directly into the browser. Learn how WebMCP works, how AI agents interact with it, and what it means for web development.
Cron automation, webhook integration, MCP servers, multi-agent orchestration, and browser automation — 8 production-level OpenClaw advanced use cases.
A deep dive into the Claude Code plugin system. Explore 13 official plugins in detail, 100+ community marketplace plugins, actual plugin.json structure and installation methods with practical examples.
Automate GCP infrastructure security audits with AI agents and gcloud MCP: a 4-step guide to parallel agent architecture, setup, orchestration, and reports.
Maximize Claude Code productivity with 7 essential MCP servers. Learn Serena, Context7, Sequential Thinking setup and real-world usage patterns
Apply MCP Code Execution patterns to reduce Claude Code token usage by 98.7% and boost speed by 60%. Step-by-step guide with .claude/ directory structure examples.
Explore how Anthropic's Code Execution with MCP achieves 98.7% token reduction and 60% faster execution through sandboxed code-based tool orchestration.
Comprehensive guide on generating web components from Figma using MCP and implementing continuous design-to-code synchronization with vanilla JavaScript.
Learn how to leverage Slack MCP for automated team communication analysis, sentiment tracking, and actionable insights using Claude AI and Model Context Protocol.
Learn how to build a Model Context Protocol server for BigQuery with dataset prefix filtering, including architecture, implementation, and security best practices.
Complete guide to Chrome DevTools MCP: AI assistants measure and optimize performance with real browser data. From Core Web Vitals automation to practical workflows.
Complete guide to building production-ready AI agent automation systems using Model Context Protocol (MCP) and Claude Code with Notion integration.
Connect Google Analytics MCP with Claude agents to automate blog analytics end to end: query the GA4 Data API in natural language and auto-generate traffic and conversion reports.
How to build a fully automated blog pipeline with Claude Code and 11 AI agents — covering MCP integration, multilingual content, AI image generation, SEO, and cross-posting in a practical step-by-step guide.