Mcp
25 articles about mcp.
Where Do AI Agents Discover Tools - The Skills System Explained
How AI agents find and use the right tools automatically through SKILL.md files, tool registries, and dynamic discovery - making agents more capable without
Building a Custom AI Coding Agent with the Claude API and MCP Tools
Why building your own AI coding agent with direct API access and custom MCP tools gives you more control than using Claude Code out of the box.
Building UI for Agentic Workflows Using MCP Apps
Why strict JSON schemas for MCP tools are essential for building reliable UIs on top of agentic workflows, and common pitfalls to avoid.
Brain MCP - Persistent Memory That Remembers How You Think
Traditional AI agent memory stores facts. Cognitive-state aware memory stores how you reason, what you prioritize, and how you make decisions. This is the
How Is Everyone Debugging Their MCP Servers?
The best MCP debugging approach is logging to stderr and tailing the output. For macOS MCP servers, accessibility tree traversal debugging reveals what the
Using Desktop UI Agents to Validate Automation Before Building Custom APIs
Why you should automate workflows with a desktop UI agent first, validate the process works, then build custom APIs and MCP integrations.
The Fragmented MCP Ecosystem - A New Registry Every Week
The MCP ecosystem is fragmenting fast with new registries, directories, and app stores launching constantly. Discovery and trust remain unsolved problems.
Where to Start with AI Tools in 2026 - Skip the Courses, Build Something
The best way to learn AI agents in 2026 is to skip the courses and build something real. MCP, Claude Code, and desktop agents click when you use them.
The Simplest Way to Log Parallel Sub-Agent Conversations
When running 5+ AI agents in parallel with an orchestrator, having each sub-agent write its conversation to a file is the most reliable logging approach.
The MCP Discovery Problem: Why Every Installation Is a Gamble
Finding MCP servers means searching GitHub and hoping they work with your client. A real compatibility matrix - covering transport protocols, feature flags, and client quirks - would cut hours of wasted setup time.
MCP Discovery and Trust - Why We Need an App Store for AI Integrations
With 15+ MCP servers configured, finding and trusting new ones is a pain. The MCP ecosystem needs better discovery, sandboxing, and trust mechanisms
MCP Server Context Window Bloat and Why You Need a Toggle
Too many MCP servers trash your context window with tool definitions. A toggle approach lets you activate only the servers you need for each task.
OS-Level Actions as MCP Tools with Confirmation-Based Trust
An open-source computer-use agent that exposes OS-level actions as MCP tools. Provider-agnostic, cross-platform, with confirmation gates for building user
Why Backend Tasks Still Break AI Agents - Tool Response Design Matters
AI agents fail on backend tasks not because models are weak but because tool responses are poorly designed. Write full data to files and return compact
Blast Radius - What Happens When Your AI Agent Gets Compromised
MCP servers limit blast radius by design with UI-only access, no shell, no filesystem. But in practice, both tools often run in the same session. Here is
How CLAUDE.md Files and MCP Servers Work Together for Project Structure
CLAUDE.md maps out your project while MCP servers extend what the agent can do. Together they create a structured workspace the agent actually understands.
Is MCP Dead? No - 10 MCP Servers Solve Problems CLI Cannot
MCP is not dead. Running 10 MCP servers daily reveals they solve fundamentally different problems than CLI tools - like accessing the macOS accessibility
MCP Servers Need Interactive UI - Raw JSON Is Not Enough
Most MCP servers return raw JSON that agents struggle to interpret. Calendar and scheduling tools need interactive UI responses with structured actions, not
How MCP Servers Changed My Coding Workflow After 10 Years of Backend Dev
MCP servers eliminated copy-pasting between apps. Direct tool interaction from Claude Code changed how a backend developer writes and ships code.
MCP Servers That Pipe Raw Data Beat REST API Wrappers
The most useful MCP servers send raw data into context - transcripts, accessibility trees, full documents. The ones that just wrap a REST API add a layer of
MCP Servers That See Your Screen vs Ones That Read Your Clipboard
Screen-aware MCP servers using macOS accessibility APIs are far more powerful than clipboard-reading alternatives. They understand context, not just copied
Why Removing Unused MCP Servers Speeds Up Claude Code More Than Removing Skills
Trimming unused MCP servers made way more difference than removing skills. MCP servers are actual processes that all have to handshake on startup.
Skills vs MCP vs Plugins - What's the Difference?
Skills inject instructions into conversations. MCP servers give agents new tools. Plugins are platform-specific integrations. Most people confuse all three
Skip AI Frameworks - Use the API and MCP Servers Directly
Why writing a custom MCP server with 500 lines of code beats months of fighting LangChain and other AI frameworks. A practical comparison with real code showing the direct approach.
I Installed 20 MCP Servers and Everything Got Worse - Why Fewer Is Better
More MCP servers means hundreds of tool definitions competing for attention. Stripping down to 3 servers made Claude pick the right tool on the first try.
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