#MCP
478 related articles
Sidekick: One MCP Server Connects Alexa, AI Agents, and Voice Games
Amazon Hackathon project Sidekick uses one MCP server to power Alexa-style voice, AI agents, and voice games; Control Room logs the full request chain, and Movie Buddy grounds answers with subtitle cues.
Claude Agent Tool Integration Guide: Custom Tools, MCP, and Subagents
An in-depth look at Claude agent tool integration: custom tool definitions, MCP server access, tool search, and subagent budget control for production-grade agent systems.
How MCP Makes Wi-Fi AI Agents Practical: From the Plumber Analogy to a 15-Minute Build
A WLPC Prague 2026 talk breakdown: how MCP lets AI agents connect to Wi-Fi networks, the full 15-minute process for building your first MCP server, and the four hard rules for tool design—read-only by default, credential isolation, and audit logging.
AI Agent Security Field Manual: Defending Against Injection, MCP Poisoning, and Zero-Click Leaks
AI Agent security field guide: from the lethal trifecta and prompt injection principles, with six real cases (Copilot zero-click leak, Slack AI, MCP poisoning, malicious NPM package, Glassworm invisible characters, OAuth supply chain attack), nine layers of defense controls (least privilege, sandboxing, default deny, egress monitoring), three-tier implementation roadmaps for individuals, teams, and enterprises, and a first-hour incident response checklist.
Andrew Ng Teams Up with Anthropic: A Complete Walkthrough of the Claude Code Hands-On Tutorial
Andrew Ng and Anthropic launch a Claude Code short course covering clear context, parallel sessions, MCP servers, and three hands-on projects: a RAG chatbot, Jupyter data analysis, and Figma-to-frontend.
How Does an AI Agent Control Your Computer? A Full Breakdown of Hermes' Three-Layer Toolchain
Bilibili creator Xiaoyou breaks down Hermes' three-layer toolchain for operating a computer: the built-in Terminal, file modification, and code execution foundation; optional web search, vision analysis, speech synthesis, and browser/desktop control; and an external ecosystem freely extended via CLI and MCP—plus why SSH connects but still can't operate.
MCP and Zero Trust: Verifying Every AI Agent Tool Call
Mapping NIST's seven zero trust principles to the MCP request path, analyzing which capabilities the spec provides versus what must be built for AI agent tool calls, and listing five verification checks every call should pass.
Reverse Engineering + AI Agents: The T…
Reverse Engineering + AI Agents: The Technical Truth Behind Cloning Adobe Apps in Weeks
A developer used AI Coding Agents for reverse engineering to build 7 open-source Adobe alternatives in weeks. We explore how it works, the MCP Server that hit 100K stars in 6 days, and the real technical and legal limits.
New in Notion 3.8: Your ChatGPT Subscription Now Works Directly in Notion Agent
Notion 3.8 lets Business/Enterprise workspaces connect ChatGPT Plus, Pro, or Go subscriptions to power Notion Agent, replacing Notion credits. Eligibility, setup, MCP risks, and team implications explained.
Claude Security Upgrades Continuous Scanning: Automatic Fix Tracking and API Integration
Claude Security adds continuous scanning: re-scan on commit, auto-resolve fixed findings, plus API, MCP connectors, and Webhooks. Integration, limits, and cost explained.
The Essential Difference Between Chatbots and AI Agents: Crossing from Conversation to Execution
What's the difference between a chatbot and an AI agent? Based on the MCP series on the Learn Tech channel, this article uses examples like booking flights and summarizing notes to explain: a chatbot only gives answers, while an agent actually completes tasks through a think-act-observe loop. It breaks down the four core components—model, tools, memory, and goal—as well as MCP's role as a bridge, and discusses agents' applicable boundaries and permission risks.
AI Agent Tool Permissions Out of Control? Citadel Identity360 Governs Them with an MCP Registry
How does Citadel Identity360 govern AI Agent tool access? It discovers Agents across platforms, binds human owners, builds an MCP registry to visualize access paths, and enforces tool-level authorization with OAuth gating and function whitelists to close Agent permission blind spots.
Complete Guide to Connecting Cursor AI to the GitHub MCP Server
A step-by-step guide to connecting Cursor AI to the GitHub MCP server: create a personal access token, configure mcp.json, store the token in the ENV block, and verify with a PR query.
WorkBuddy Beginner's Guide: A Full Breakdown of Desktop AI Agents and MCP Configuration
WorkBuddy desktop AI agent beginner's guide: its core capabilities, differences from CodeX, three major misconceptions, and the MCP configuration and Expert Center learning path to help office workers transform from AI question-askers into AI managers.
Amazon Blocks AI Agents While Walmart Opens Its Doors: The Battle for the Retail Front Door
Amazon blocks AI shopping agents in court and at the firewall, while Walmart opens access via an official MCP server. We analyze both strategies and what developers should do.
AgentCore in Practice: Connecting Custom Tools and MCP Servers to Agents
DebuggerCafe tutorial shows how to connect custom tools and MCP servers to Amazon Bedrock AgentCore agents, covering tool contract design, MCP reuse, and production concerns.
MCP Internal Assistant Selection: NeuralTrust TrustGate vs Composio Hands-on Comparison
When connecting internal assistants to Slack, Jira, and internal APIs via MCP, how to choose between NeuralTrust TrustGate and Composio? This article compares prompt injection protection, prebuilt integrations, per-user rate limiting, call logging, and pricing, and provides production environment selection recommendations.
Feeding Data to Agents: MCP On-Demand Pull vs. Prefetching? A Practical Comparison
Reddit developers discuss whether lead review agents should prefetch or use MCP for external data. This article breaks down cost, latency, and controllability differences and offers a hybrid decision framework.
How Does Claude Call Tools It Has Never Seen? MCP and AI Agent Principles Explained
How does Claude call tools it was never trained on? This article breaks down the AI Agent tool-calling loop, Anthropic's three-layer MCP architecture, context bloat and context rot, and production-grade Agent safety design principles including timeout retries, prompt injection, and idempotency keys.
MCP Protocol-Driven AI Testing Agent: …
MCP Protocol-Driven AI Testing Agent: Automated Execution, Diagnosis, and Reporting
Introduces an MCP protocol-based AI testing Agent: using FastMCP to expose PyTest execution tools, running Llama 3.2 3B locally with Ollama for failure diagnosis, automatically generating timestamped reports and comparing them with historical results to create a closed loop of test execution, root cause analysis, and fix tracking.