Make Your Product
Discoverable by AI Agents.
Ship It This Week.
WebMCP is a browser-native standard that lets AI agents call your product through structured tools — not fragile scraping. One engineer ships it in a week with our CLI and AI co-pilot.
From Zero to Agent-Ready
in One Sprint
Scan & Assess
Run the free CLI, get your score, receive a prioritized plan.
Scan & Assess
Run the free CLI, get your score, receive a prioritized plan.
One engineer, five business days. From zero WebMCP coverage to a tested, deployed, production-ready setup with CI/CD protection and cross-model prompt coverage.
Works With What You Ship On
Production-ready WebMCP code for your exact framework. No abstractions. No vendor lock-in.
<form
toolname="search_products"
tooldescription="Search the product catalog by keyword, category, or price range"
action="/api/search">
<input type="text" name="query" placeholder="Search products..." />
<select name="category">...</select>
<input type="number" name="max_price" />
<button type="submit">Search</button>
</form>
✓ Your existing form is now an agent-callable tool. Two attributes. Zero JavaScript. That's it.
WebMCP generates standards-compliant code with no proprietary runtime. Remove Web-MCP tomorrow and your tools still work. Zero vendor lock-in — by design.
The Dashboard You Ship With
Production interfaces, not mockups. This is what your team uses from day one.
What Ships
in Your Plan
Ranked by impact for early-stage teams. Highest-leverage capabilities first.
Prompt Coverage Testing
Prove your tools actually work before you ship them.
Run your WebMCP tools against 200+ natural language prompts across Gemini, GPT, and Claude simultaneously. See which phrasings trigger the correct tool, which parameters extract cleanly, and which prompts confuse the model — before a single real user hits it.
You cannot ship tools and hope for the best. This is the proof that they work, across every model your users might use.
Competitive Benchmarking
See your selection rate when agents compare you to competitors.
When a user asks an agent to find a project management tool, the agent evaluates your tool descriptions against competitors and picks the clearest, most reliable one. Competitive benchmarking shows your selection rate and exactly where competitors outperform you.
This is measurable competitive advantage. Not a narrative — a number. The feature startup CTOs check daily.
Industry Benchmarks
Your percentile rank against every site in your vertical.
Your Agent Readiness Score is a ranking, not just a number. See your industry percentile, the gap between average and leader, month-over-month trajectory, and the specific changes that would move you up.
Investors want comparative data. This is the comparative data — with your name at the top.
AI Implementation Co-Pilot
Point it at your URL. Get production-ready tool definitions.
Give the Co-Pilot a URL and it crawls every page, identifies forms and interactive elements, generates complete WebMCP tool definitions, produces framework-specific code, and outputs a prioritized implementation roadmap.
Every week saved is runway preserved. The Co-Pilot handles roughly 50 hours of manual work in minutes.
Agent Readiness Score
A single number from 0 to 100. Your Lighthouse for the agentic web.
A weighted composite of implementation quality, prompt coverage, security posture, reliability, and best practices. Run it in CI/CD to block deploys that break agent compatibility. Share it in your pitch deck.
You cannot improve what you cannot measure. And you cannot put it on a slide if it is not a number.
Revenue Attribution
Agent-driven conversions, in dollars, on your dashboard.
Track which agent-invoked tools lead to signups, purchases, or upgrades. See agent-driven conversion rate vs. human, total agent-attributed revenue, and the ROI of your WebMCP investment — broken down by tool.
The board question is always whether this is generating revenue. This is the answer, with a dollar sign.
ADDITIONAL FEATURES STARTUPS USE DAILY
CI/CD Integration
web-mcp ci --min-score 75 in your GitHub Actions. Block deploys that break agent compatibility.
Auto-Generated Tests
Zero test code to write. 50+ prompts per tool, auto-generated from your schema.
Multi-Model Playground
See how Gemini, GPT, and Claude each interpret your tools, side by side, in real time.
A/B Description Testing
Change your description from A to B → 15% better agent routing. Data-driven optimization.
Agent Journey Mapping
See the paths agents take through your tools. Find drop-offs. Optimize flows.
Team Review Workflows
PR-style review for tool changes. Security bot flags issues automatically.
The Technical Context You Need
What WebMCP is, how it works, and why it matters for your next board update.
On February 9, 2026, Google released WebMCP — a proposed web standard co-authored with Microsoft that fundamentally changes how AI agents interact with websites. Instead of agents guessing how to click buttons and fill forms, websites can now publish structured "tools" that agents invoke directly — with typed parameters, defined outputs, and built-in error handling.
In short: WebMCP gives websites a structured way to expose functionality to AI agents. It's shipping in Chrome now, backed by Google and Microsoft, and it defines how agents will interact with web-based products going forward.
The Standard Just Shipped.
The Window Is Now.
Most sites have not implemented WebMCP yet. That gap is your leverage — while incumbents evaluate, you ship.
5 days, not 6 months
Ship Before Enterprise Even Schedules the Kickoff
Your enterprise competitor is still in procurement. You can audit today, generate tools tomorrow, run prompt coverage Wednesday, deploy Thursday, and have agents routing users to your product by Friday. That is the startup advantage.
A slide, not a slide deck
Board-Ready Data on Day 5
Investors increasingly ask about agent readiness the same way they once asked about mobile. A concrete score, competitive benchmark, and revenue attribution dashboard give you a specific answer with real numbers — not a hand-wave.
Tool descriptions = new title tags
Agent SEO: Win the Selection Layer
The WebMCP spec includes no built-in discovery mechanism. Agents compare toolname, tooldescription, and inputSchema quality to decide which product to invoke. Whoever writes the clearest, most tested tool descriptions gets the traffic.
Compound data from week one
Behavioral Data You Cannot Buy Later
Early implementers collect something money cannot replicate: real data on how agents interact with your tools. Which prompts trigger which endpoints? Where do agents drop off? Six months of that data is an optimization moat.
How Teams at Each Stage Are Using This
Pre-seed to growth. Different starting points, same five-day implementation.
Building agent-ready from day one
Teams adding toolname and tooldescription attributes to their HTML forms as they build, so their product is discoverable by AI agents from launch. Zero additional JavaScript — just two HTML attributes per form.
Adding structured tools to existing products
Engineering teams using the AI Co-Pilot to scan their existing site, generate WebMCP tool definitions, and deploy in under a week. The CLI audit gives them a baseline score and a prioritized implementation plan.
Tracking agent interactions alongside human traffic
Teams using prompt coverage testing to verify their tools work across Gemini, GPT, and Claude. Competitive benchmarking shows how their tool descriptions compare to others in their category.
The Math: Build It Yourself vs. Use Web-MCP
Estimated costs for a typical 5–10 tool implementation. Numbers your CFO can verify.
New Discovery Channel
As AI agents become a traffic source alongside search engines, sites with structured tools are the ones agents can actually interact with. WebMCP makes your product part of that channel.
Investor Narrative
Having a concrete agent-readiness strategy with data (scores, benchmarks, test coverage) gives you a specific story to tell about platform shift awareness.
Engineering Time Saved
The AI Co-Pilot generates tool definitions from your existing site. Estimated 4–6 weeks saved vs. manual implementation for a typical 5–10 tool setup.
Free CLI Forever. Paid Plans When You Need Data.
Audit your site today for $0. Add testing, benchmarking, and analytics when you are ready to compete.
Free
See where you stand
- CLI audit (unlimited)
- Quick Score
- Browser extension
- Schema linting
- 3 tools
- Basic form scanning
Pro
Ship with confidence
- 25 tools
- AI Co-Pilot generation
- Prompt coverage (1 model)
- Auto-generated tests
- CI/CD integration
- Security scanner
- Deep Score
- 25K analytics events/mo
- 1 site
Team
Win the agent race
- Unlimited tools
- 5 team seats
- Competitive benchmarking
- A/B description testing
- Multi-model prompt coverage
- Industry benchmarks
- Agent journey mapping
- Revenue attribution
- 250K analytics events/mo
- 5 sites
- Team review workflows
- API access + Priority support
How Most Startups Progress
Startup Credits: YC, Techstars, 500 Global, and other accelerator companies —
contact startups@web-mcp.net with your batch info for credits.
The Questions You Are Actually Asking
Technical, business, and practical — answered without the hand-waving.
WebMCP is already shipping in Chrome 146 — this isn’t a whitepaper, it’s running code in the world’s most popular browser. It’s co-authored by Google and Microsoft. It’s a proposed web standard through the W3C process. The trend is inevitable: AI agents WILL need structured ways to interact with websites. Web-MCP generates clean, standards-based code with no vendor lock-in. The smart startup bet: invest 1 week to implement, prove value with real data, and iterate.
Most startups complete implementation in 3–5 days with one engineer spending about 50% of their time. Day 1 (~2 hours): Run the audit, review recommendations. Day 2–3 (~6 hours): Review generated tool definitions, customize. Day 3–4 (~4 hours): Review prompt coverage, apply fixes, add to CI/CD. Day 5 (~2 hours): Deploy, set up analytics, final score check. Total: ~14 hours across 5 days. The AI Co-Pilot handles the other ~50 hours that manual implementation would require.
MCP (from Anthropic) is a server-side protocol — you deploy tools on YOUR server, agents connect via JSON-RPC. WebMCP is a client-side browser standard — tools run IN the user’s browser via navigator.modelContext.registerTool() or HTML form annotations. WebMCP works within your existing web app, no new infrastructure. They’re complementary, not competing. Web-MCP helps you implement WebMCP and can import MCP tool definitions to generate equivalent WebMCP tools.
Yes — WebMCP is an open standard. DIY takes 40–80 engineering hours for 5–10 tools. What you DON’T get: prompt coverage testing across multiple models (600 individual tests), competitive benchmarking (requires aggregated data), industry percentile rankings, automated security scanning, CI/CD integration, or revenue attribution analytics. Web-MCP’s value isn’t just faster implementation — it’s the testing, benchmarking, and analytics layer that doesn’t exist elsewhere.
Some do, some don’t — yet. We’re seeing more technical investors ask about agent readiness for B2B products, similar to how mobile readiness became a standard diligence topic over time. Having a concrete strategy with data (scores, benchmarks, revenue attribution) helps you answer confidently and stand out.
If you’re building anything with forms, search, or interactive features — build agent-ready from Day 1. The declarative API is powerful for this: just add toolname and tooldescription attributes to your HTML forms as you build. Zero additional JavaScript. If purely pre-product, wait until you have a functional prototype, but start learning now. The free CLI audit can run on localhost.
WebMCP is a proposed web standard designed for cross-browser adoption. The early preview is Chrome-only (146+), but Microsoft co-authored the spec so Edge support is highly likely. Safari and Firefox timelines are TBD. Chrome has ~65% global browser market share — implementing for Chrome alone already covers the majority of your users.
Different layer, complementary purpose. REST/OpenAPI is server-to-server, requiring API keys and rate limiting. WebMCP is client-side, in-browser — tools run in the user’s session with their authentication already active. If you already have a REST API, Web-MCP can import your OpenAPI spec and generate equivalent WebMCP tools. Both matter.
Your Web-MCP account, skills, and workflow survive any pivot. Re-test your new product, generate new tools, deploy. The competitive benchmarking and industry positioning reset to your new vertical, and your team’s WebMCP expertise carries over entirely.
Yes. We offer credits for companies in Y Combinator (any batch), Techstars (any program), 500 Global, Microsoft for Startups, Google for Startups, and AWS Activate. Contact startups@web-mcp.net with your batch/cohort info. We respond within 24 hours.
Your Site Is Invisible to AI Agents.
Fix That This Week.
Run a free audit. See your score. Get a prioritized implementation plan. Decide if it makes sense for your roadmap.
$ npx web-mcp audit https://yoursite.com|
WebMCP is an open standard. Everything Web-MCP generates is standards-compliant code you own. No vendor lock-in, no proprietary runtime. If you stop using Web-MCP, your tools keep working.