#MCP
499 related articles
What Exactly Is an MCP Server? A Complete Guide from Fundamentals to Production
A complete guide to MCP servers: from why language models need tools, to building with Python and fastmcp, to OAuth authentication for remote deployment — covering the auth layer most tutorials skip.
Hemory: Building a Searchable Voice Memory Library for AI Agents
Hemory is a Product Hunt #1 AI app that passively records daily conversations on your phone or Apple Watch, auto-segments them into searchable memories, and connects to Claude and Cursor via MCP.
Vercel AI SDK Releases @ai-sdk/mcp Patch: Fixes stdio Transport Environment Variable Issue
Vercel AI SDK releases @ai-sdk/mcp@1.0.86, fixing a bug where explicit environment variables were lost during MCP stdio transport. Learn what changed and who should upgrade.
The Truth About AI Agents: The Model Is Only 20% — The Other 80% Is What Really Matters
What is an AI agent? This article breaks down the model, Harness, MCP, skills, sandbox, and production layer — revealing why the model is only 20%, and the surrounding engineering is 80%.
Building an MCP Server from Scratch: A Hands-On Tutorial for Claude Tool Calling
A step-by-step guide to building an MCP server from scratch using a calculator tool, covering tool schema definition, error handling, agentic loop design, and three practical test scenarios.
Getting Started with MCP: The Protocol That Lets LLMs Connect to External Tools
MCP (Model Context Protocol) is the standard that lets LLMs connect to external tools. Learn why it exists, how it works, and its role in Agent development.
Floot MCP: Build and Deploy Full-Stack Apps Directly Inside Claude and ChatGPT
Floot MCP connects to Claude and ChatGPT via MCP, letting you build and publish full-stack apps in chat — with built-in database, auth, hosting, and no extra AI usage fees.
Hookest: Turning Viral Video Hooks Into a Searchable Swipe File
Hookest is a searchable swipe file tracking viral hooks from TikTok, Reels & Shorts, with real performance data and MCP integration for Claude, ChatGPT & Gemini.
OpenPencil MCP in Practice: Let AI Agents Read and Edit Design Files Directly
OpenPencil is an MIT-licensed open-source design tool. One command connects it to MCP, letting AI Agents read and edit local design files directly. Full walkthrough: setup, Claude Code, Cursor, and a five-step workflow.
Four Ways MCP Authorization Breaks Down in Production
MCP authorization often fails in production not due to spec gaps, but implementation shortcuts. We break down four recurring failure patterns: token validation, scope checks, trust boundaries, and context propagation.
After Deleting the MCP Server: Who's Ignoring the AI Agent Authorization Problem?
MCP server critics focus on ergonomics but ignore authorization security. Removing MCP reverts agents to dangerous long-lived shell keys. Here's what must exist before direct API access can be a safe default.
All in One ChatGPT Window: Testing Astra + Higgsfield for AI Video Generation
Testing Astra + Higgsfield via MCP in a single ChatGPT window: three cases (product ad, apartment walkthrough, short film) show how AI Agents can plan, generate, review, and fix — turning users from operators into directors.
Cherry Studio + MCP in Practice: Building a Local Knowledge Base and Automated AI Agents
Learn how to use Cherry Studio with MCP and Ollama to build automated AI agents and a local knowledge base — covering DeepSeek setup, UV/Bun, Function Calling limits, and web scraping.
Genie One MCP: Giving Any AI Agent the Right Business Context
Genie One MCP uses Model Context Protocol to inject enterprise business context into any AI Agent, solving unreliable answers and inconsistent metric definitions.
Was MCP Always a Bad Idea? The Debate Over AI Tool Protocols
A blog post titled 'Why MCP Was Always a Bad Idea' sparked fierce debate on Hacker News. We analyze MCP's design controversies, the standardization dilemma, and what it means for AI developers.
Hot AI Debates: Is RAG Dead? Do Skills Replace MCP?
GitHub Podcast tackles three hot AI debates: should you read AI-generated code line by line, is RAG obsolete, and will Anthropic Skills replace MCP? A deep-dive analysis.
ProductBridge: AI-Powered Customer Support and Feedback Integration for Evidence-Driven Roadmaps
ProductBridge is an AI-native support and feedback platform with an AI agent that calls your APIs, deduplicates feedback, and scores it by reach and revenue to drive evidence-based roadmaps. Supports MCP for Claude, ChatGPT, and Cursor.
Authorizing MCP Tool Calls Without Surrendering Credentials: How Keydris Works
An open-source credential-free MCP server template lets AI agents call tools via single-use, action-scoped KIT tokens — no API keys or PATs stored. Compatible with Claude, Cursor, and more.
Tool Hallucination: The Structural Blind Spot in LLM Agents and Closed-World Defense
New arXiv paper exposes tool hallucination in LLM agents: agents invoke nonexistent tools, bypassing all selection and gating defenses. Covers H1-H5 taxonomy, closed-world resolver architecture, MCP namespace collisions, and the HTB benchmark.
Prompt → MCP → Agent → Skill: The AI Terminology Evolution Chain Explained in 5 Minutes
A clear guide to five core AI concepts — Prompt, MCP, Agent, Skill, and Cowork — and how they connect in a layered evolution chain from simple instructions to multi-agent teamwork.