惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
News and Events Feed by Topic
Malwarebytes
Malwarebytes
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
C
Cybersecurity and Infrastructure Security Agency CISA
F
Future of Privacy Forum
C
Cisco Blogs
T
The Exploit Database - CXSecurity.com
A
Arctic Wolf
S
Securelist
K
Kaspersky official blog
S
Schneier on Security
T
ThreatConnect
T
Tenable Blog
Spread Privacy
Spread Privacy
T
True Tiger Recordings
AWS News Blog
AWS News Blog
F
Fox-IT International blog
量子位
T
Threatpost
V
Vulnerabilities – Threatpost
C
CERT Recently Published Vulnerability Notes
Cisco Talos Blog
Cisco Talos Blog
GbyAI
GbyAI
宝玉的分享
宝玉的分享
腾讯CDC
G
Google Developers Blog
aimingoo的专栏
aimingoo的专栏
Cyberwarzone
Cyberwarzone
有赞技术团队
有赞技术团队
S
SegmentFault 最新的问题
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
Visual Studio Blog
U
Unit 42
雷峰网
雷峰网
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Simon Willison's Weblog
Simon Willison's Weblog
O
OpenAI News
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The GitHub Blog
The GitHub Blog
The Register - Security
The Register - Security
MyScale Blog
MyScale Blog
小众软件
小众软件
A
About on SuperTechFans
Last Week in AI
Last Week in AI
Y
Y Combinator Blog
博客园 - 三生石上(FineUI控件)
美团技术团队
Google Online Security Blog
Google Online Security Blog
P
Proofpoint News Feed
MongoDB | Blog
MongoDB | Blog

DEV Community

Orakle: Turning Raw Blockchain Data into Intelligence with Gemma 4 Building an Autoposting Pipeline with Hermes Agent: Why Waterfall Beats Parallel, and the Edge Cases Nobody Talks About OpenShift Virtualization Migration Advisor — Local-First, Powered by Gemma 4 26B MoE I Disappeared for 4 Months After Launch - Here's What Brought Me Back Jira Is Turing-Complete (And You've Been Coding in It) NyayAI: Building an AI Legal Assistant for 1.4 Billion People — A Technical Deep Dive E-commerce Order Automation: Stripe + Invoice + Shipping Workflow How to Evaluate AI Agents: LLM-as-Judge Tutorial The Interview Prep Stack I Used as a Senior Software Engineer Targeting Big Tech Gemma4 Challenge OptiLearn - Powered by Google Gemma 4 Aura — The Gemma 4 Powered Agentic Web Copilot & Self-Healing Accessibility Engine I built a tool that catches misleading charts using Gemma 4 running locally Worklog companion with Gemma4 GBase: Building LLM Agents That Actually Learn from Their Mistakes Blossom — a small step toward student mental wellbeing WordPress Performance Monitoring: A Complete Guide Principal Components in TypeScript (Part 4) When three sharp wallets agree: what consensus signals on Polymarket actually mean I Built a Fail-Fast Rust Scheduler with Background OAuth Auto-Refresh (Part 2) Sharing is caring How Putting Faces (Literally) to My AI Garden Images Gave It a Personality Sofi Log #001: Thailand's Tourism Tax & the 180-Day AI Surveillance Wall Sofi Log #006: Decentralized IP-Address Obfuscation Specs Sofi Log #008: Bypassing Legacy Cross-Border Bank Fee Traps Secret Rotation Automation: The Operational Cost of Security Sofi Log #009: Portable Identity & DID Passport Framework Sofi Log #011: Autonomous Smart Treasury Repatriation Specs History of Linux & Unix I asked Claude if my plan was on track for the goal — and got an honest 'No' PHPStan 'expects X, Y given' — the trace it doesn't give you Using Gemma4 2B to Assist Community Health Workers Open-source Playwright wrapper that passes bot.sannysoft.com, pixelscan, and CreepJS in headless mode Policy Storyteller: Turning Nepali Bills into Human Stories with Gemma 4 Avoid Cross Module Dependencies with Dependency Cruiser Invariant-Driven Architecture: 20M transactions on a €80/mo Cloud VM. Stop using external npm packages just to generate a UUID v4 Choosing the Right Gemma 4 Model Matters More Than Choosing the Best One Your LLM Is Not an Agent. Your Framework Is Not Enough. You Need a Harness. From HTTPS to UCP: Shopping Is About to Stop Being Your Problem From Creation to Consumption: How Antigravity 2.0 and Gemini Spark Are Defining the Agentic Era 10 Mistakes I Wish I Knew Before Taking the CKA Exam AI That Actually Does Stuff: Autonomous Agents Explained Exploring AI workflow Orchestration: Comparing Weft, Python & Alternative Pipeline Approaches El Poder del Aprendizaje Federado: Cuando los Algoritmos Distribuidos Entrenan a la IA Email Marketing Automation in 2026: 5 Tools (and 1 Self-Hosted) Through Their APIs A Replay Runbook For Missed Publishing Windows Why timeout handling matters more than most backend logic How I Make $6,800/Month Selling Niche VS Code Extensions Model Routing Cost Checklist: Hosted APIs, Open Models, Or Self-Hosted Inference? ORA-00207 오류 원인과 해결 방법 완벽 가이드 Deno 2.8 Operator Upgrade Checklist: CI, Lockfiles, Node Compatibility, And Rollback AI-Discovered Vulnerabilities Need A Triage Queue, Not A Panic Channel AI Agent Workboards Need Audit Controls Before They Need More Agents Demystifying DevRel: What It Actually Is (And Why Should You Become One?) Your AI, Your Device, Your Data - Introducing Aide Gemma 4 GenAI Coach - GenAI Concepts Made Easy with an Interactive Playground QuietPulse - Mood Tracker Principal Components in TypeScript (Part 3) The pgAudit Attribution Gap: Why Role-Level Logging Fails GDPR and How to Close It Gemma 4 CAD Orchestrator I built a local Postgres triage co-pilot because HIPAA says I can't paste plans into ChatGPT or Claude Live Holographic Editor In Fractal Time Everbench: A document management system with Local Intelligence Instanton in Fractal Time The Hidden Features of Claude How I Built an AI News Brief with Next.js, Supabase, Vercel, and GPT-4o-mini How We Built a Multi-Agent AI Documentation System (And What We Learned) I got tired of writing post-mortems — so I built RCAi for SREs MIA: A Futuristic AI Desktop Assistant Built with Voice, Gestures, and Controlled Chaos Best Programming Language for Backend Web Development: PHP vs Python PayPal Alternatives for Indian Businesses: Best Payment Gateways for International Card Payments (2026) Gemma 4 Made Me Rethink Local AI: Not Just Text, But Images Too Clean Architecture in .NET Explained (The Dependency Rule) I Compiled Rust to WebAssembly and Made My JavaScript 6 Faster Outlook.com Is the Final Boss of 'Just Send an Email' Conditional Statements and Control Flow in Python Insults & Cutlasses, Local LLM Sword Fighting on Melee Island Production Lab: ECS Fargate + Prometheus + Grafana + Loki + Alloy + Node Exporter How 12 AI agent frameworks handle human approval (most badly) The Four-Index Reality: Why AI Search Isn't One Thing I Scanned 1 Million AI Services. Here's What Worries Me More Than the Vulnerabilities Managing multiple docker hub accounts using docker-use System Design Interview: Decentralized Web Crawler Metric Cardinality: High or Low? 4 Steps to Making the Right Choice 로컬 LLM 셋업 가이드 (v23) GEO vs SEO in 2026 — What Google's May Guidance Changed Cursor Review 2026 — Honest 'Not For Me' Take From a VSCode User Hello from rikuq — a practitioner blog for solo AI SaaS founders Why DevOps Engineers Need Practical Tutorials, Not Just Theory AI Agents in CI/CD: Give Them Context, Not Production Authority Now I See Why Translators Are Panicking Over AI—Should Coders Panic Too? Why I Track HRV Every Morning (And How It Actually Changes My Day) Diffusion Language Models: How NVIDIA's Nemotron-Labs DLM Is Killing Token-by-Token Generation Chatbots GPT pour le support client : ce que les équipes françaises ont réellement besoin de savoir I Hit the 1,232-Byte Wall So You Don't Have To Google Just Rebuilt the Search Box (Again) — But This Time It's Different Aether: A local Android assistant built with Gemma 4 BoxAgnts Introduction (1) — Out of the Box mkdev: trusted HTTPS for localhost, mapped by name
WebMCP is coming — so I’m building webmcp.js
beladevo · 2026-05-25 · via DEV Community

beladevo

The web was built for humans.

AI agents are not humans.

Today, many agents still use websites like a person would: read the page, inspect the DOM, guess which button to click, fill a form, and hope the UI did not change.

That is useful.

But it is also fragile.

WebMCP points to a different future: websites can expose structured tools directly from the page.

Instead of an agent guessing what a website can do, the website can declare it:

products.search
cart.add
checkout.start
project.create
report.generate
user.invite

Enter fullscreen mode Exit fullscreen mode

These are not random clicks.

They are explicit capabilities with names, descriptions, schemas, and functions.

That is the interesting part.

Not “AI clicks buttons better.”

Something much better:

Websites become understandable and actionable for agents.

Why this matters

If agents become a real interface to software, websites need more than visual UI.

They need an agent-facing surface that is:

  • clear
  • typed
  • validated
  • safe
  • testable
  • connected to the real product flow

WebMCP gives the browser-level direction.

But developers still need a practical layer to use it well.

The missing developer layer

Registering a tool is only the beginning.

The real production questions are:

  • Is the input valid?
  • Is this action read-only or dangerous?
  • Should the user confirm it first?
  • Can I audit what happened?
  • Can I test this before exposing it to an agent?
  • Can I use this cleanly in React or Next.js?

There is a big difference between:

products.search

Enter fullscreen mode Exit fullscreen mode

and:

checkout.start
user.delete
message.send
team.invite

Enter fullscreen mode Exit fullscreen mode

Some tools read data.

Some change state.

Some may cost money.

Some affect other users.

That difference should be part of the developer experience.

What I’m building

Not a new protocol.

Not a replacement for WebMCP.

A small, practical layer that helps developers expose WebMCP tools with better defaults.

The first focus:

typed tool registration
schema validation
risk levels
permission rules
human confirmation
audit hooks
React / Next.js friendly APIs
testing utilities
clear examples

Enter fullscreen mode Exit fullscreen mode

The API should feel familiar:

mcp.tool("cart.add", {
  description: "Add a product to the user's cart",
  input: z.object({
    productId: z.string(),
    quantity: z.number().min(1),
  }),
  risk: "high",
  requireConfirmation: true,
  run: async ({ productId, quantity }) => {
    return cart.add(productId, quantity);
  },
});

Enter fullscreen mode Exit fullscreen mode

You can explore the project here:

The wrapper is not the point.

The point is the system around the tool:

validation
permissions
confirmation
safe defaults
testing
debugging
developer experience

Enter fullscreen mode Exit fullscreen mode

The purple cow

Most websites today are made for humans only.

The remarkable websites will be different.

They will have two interfaces:

  1. A visual interface for people
  2. A structured interface for agents

That second interface should not be an afterthought.

It should be safe, typed, intentional, and built into the product.

That is the idea behind webmcp.js.

Open source

This space is still early.

That is why I want to build it in public, follow the standard closely, and avoid hype.

The project will be released under the MIT License.

Contributions will be welcome around:

examples
TypeScript API design
permissions and safety
React / Next.js integration
testing utilities
documentation
security review
tracking WebMCP changes

Enter fullscreen mode Exit fullscreen mode

Try it / contribute

The project is open source and available here:

If you’re interested in WebMCP, browser agents, TypeScript API design, permissions, or developer tooling — contributions are welcome.

The goal

Make websites agent-ready without making them unsafe or hard to maintain.

If WebMCP becomes an important bridge between websites and AI agents, developers will need more than a browser API.

They will need a clean, safe, typed, production-minded way to use it.

That is what I want webmcp.js to become.