87 articles - page 3 of 8
MCP Apps vs tool calling vs standalone web UIs: how sandboxed interactive UIs for MCP servers compare to the other two, and when to use each approach.
MCP vs Agent Skills: MCP gives agents live access to tools and data, Skills give them packaged procedure. The decision rule for when to use which, or both.
Codex and Claude Code July 2026 updates compared: why approval modes, resumable work, MCP auth, artifacts and review surfaces now matter as much as models.
AI agent auth platforms compared: Arcade, Composio, Nango, and Stytch on OAuth 2.1, MCP support, integration counts, and which to pick by workload.
DataFlow-Harness shows why coding agents doing data work should produce editable, validated pipelines instead of throwaway scripts, and what to copy first.
Claude Code, Claude Desktop, Cursor, VS Code, Zed, and opencode all speak MCP differently. Here is how their transport, auth, and tool-limit support compares.
Safari MCP server guide: let AI coding agents inspect pages, take screenshots, run JavaScript and check accessibility in Safari, with setup steps and workflows.
AgentCanvas is a visual adapter for Claude Code and Codex that puts artifacts, decisions and handoffs on one board, so the next agent or human can see them.
MCP tools solve invocation but not visibility. Why tool output needs a shared board instead of a transcript, and when a board is overkill for multi-agent work.
Agent Studio lets you author subagents next to your skills and serve both over one MCP endpoint, plus REST and the dd CLI, with a community moderation loop.
A reference architecture for progressive disclosure: skills, files, memory and generation on one MCP endpoint, scoped by one API key and one credit balance.
MCP servers vs Agent Skills: MCP gives an agent access to a live system, Skills teach it how to do a task. A five-question framework for which one to build.
Showing 25-36 of 86 articles
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