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Model Context Protocol

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  • One SKILL.md that makes blogging with AI dramatically easier

    You have a topic. You open your AI assistant and start typing. First you explain your blog: who reads it, how you write, what you covered last month. Then the topic. The draft comes back sounding like every other draft. You ask for a title. Then a summary. Then a search description and some tags.

    Dev.to AI8 min read
  • I Realized I Couldn't Trust AI With My Research

    This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built Imagine remembering clearly that you left your keys on the kitchen counter, only to find that they aren't there. Someone tells you that you never left them there, but you remember doing it.

    Dev.to AI6 min read
  • ErrataGuard: AI Board Game Rules & Errata Resolution Agent

    This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built Meet ErrataGuard, an AI-powered board game companion and rules agent designed to solve a problem every complex tabletop gamer faces: conflicting rulebooks, errata sheets, and developer…

    Dev.to AI2 min read
  • Stop pasting API docs into AI coding agents: serve the spec over MCP

    Watch an engineer use a coding agent against an unfamiliar API and you see the same ritual every session. They paste the docs URL, then the auth section, then an example response, then a correction: "pagination is cursor, not page", "money is integer cents", "the list wrapper is data.items".

    Dev.to AI5 min read
  • How to turn an OpenAPI spec into an MCP server (2026 step-by-step)

    Every team evaluating Model Context Protocol (MCP) servers reaches the same question: do we hand-maintain a second description of our API for agents, or do we generate it from the contract we already have? If you keep an OpenAPI document, the second answer is the sane one.

    Dev.to AI5 min read
  • Kiro Crew + Discord: Running My Agent From My Phone

    I've been working on coding projects in my terminal and my IDE for years, (shoutout to CodeBlocks for my C++ fans!) but as agents continue to make the case for streamlined task management in our development cycles, one thing that I found frustrating was the moment I had to step away, close the…

    Dev.to AI7 min read
  • How to soak-test your MCP server before AI agents do it for you

    Most MCP servers get tested the same way: connect one client, call a few tools by hand, ship it. Then real agents show up. Dozens of sessions at once, three tool calls in parallel, sessions that never get closed. The failures that follow don't look like crashes.

    Dev.to AI5 min read
  • We built a free MCP server that lets Claude Code use the apps on your Mac

    Quick version: LMCP is a Mac app that turns the apps you already use into tools your AI can call. Install it once and Claude Desktop, Claude Code, Cursor, Codex and other MCP clients can work with Mail, Calendar, Teams, Slack, WhatsApp, iMessage, Outlook, OneDrive, Google Drive, Zoom, Office files,…

    Dev.to AI3 min read
  • Supercharging web scraping with Claude skills

    As web scraping becomes more complex, the tools we use to navigate that complexity need to become smarter. I recently took some time to explore how Claude skills can be integrated into a web scraping workflow.

    Dev.to AI8 min read
  • PayScope: read the terms, choose the next step

    This is a submission for Path One: Agents in the Sanity Challenge. AI disclosure: this project and post were produced by an autonomous AI coding agent under the CedarProof work identity. No human authorship or independent human review is claimed.

    Dev.to AI4 min read
  • Agent security moves out of the agent itself

    Control leaves the process NVIDIA presented the Open Agent Safety Platform on September 28, and the design decision is the news. The runtime is called OpenShell, it is open source, and it already supports Codex, Claude Code, Pi and Hermes.

    Dev.to AI5 min read
  • The Delegation Boundary: Automate What You Can Undo

    Your agent triaged the alerts, wrote the patch, opened the pull request, updated the docs, and merged. The bug is in production. The migration ran against the wrong table. The customer got the email with the wrong number. All of it is irreversible. And a human owns every bit of it.

    Dev.to AI7 min read

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