Your Competitors Are Becoming
Agent-Ready. Are You?

WebMCP (Web Model Context Protocol) is a new web standard co-authored by Google and Microsoft that allows websites to expose structured tools for AI agents directly in the browser. Unlike server-side MCP (which requires a backend JSON-RPC server), WebMCP runs in the browser context — tools are registered via JavaScript (navigator.modelContext.registerTool()) or annotated directly on HTML forms using attributes like toolname, tooldescription, and toolparamdescription. WebMCP shipped in Chrome 146 and is expected to be adopted by other browsers.

WebMCP is co-authored by Google (who ships Chrome, the dominant browser) and Microsoft (who ships Edge and invests in OpenAI). It's already shipping in Chrome 146. The protocol addresses the #1 unsolved problem in the agentic web: how AI agents interact with websites without brittle screen-scraping. Early movers build data history, competitive positioning, and agent relationships that late movers can't replicate.

Your existing APIs run server-to-server. WebMCP runs in the browser, where AI agents operate. When a user tells Chrome's Gemini 'find me a product,' the agent can only invoke WebMCP tools on the current page — it can't call your REST API directly. WebMCP's Migration Intelligence imports your OpenAPI spec and generates WebMCP equivalents, so you don't start from scratch.

The WebMCP Security and Privacy Considerations spec documents four primary threat categories: (1) Tool description poisoning — malicious instructions embedded in tool descriptions. (2) Output injection — tool responses containing instructions the agent follows. (3) Misrepresentation of intent — tools that claim to do one thing but actually do another. (4) Privacy leakage through over-parameterization. WebMCP's security scanner, runtime firewall, and continuous monitoring address all four.

Yes. We offer on-premise deployment for organizations with strict data residency, air-gapped, or data sovereignty requirements. On-premise deployments include the full platform with local LLM support for prompt coverage testing (via Ollama), eliminating the need for external API calls.

Yes. We offer Business Associate Agreements for healthcare organizations. Our compliance reporting module generates HIPAA-specific documentation including PHI flow analysis, minimum necessary assessments, and requestUserInteraction() verification for health data tools.

We process URLs and publicly-accessible page content for scanning and analysis. The Analytics SDK captures tool invocation metadata with configurable privacy controls: parameter redaction (PII stripped before transmission), tool exclusion, agent anonymization, and data residency selection. We never store your API keys, user credentials, or customer PII. SOC 2 Type II certified.

Phase 1 (Week 1-2): AI Co-Pilot site assessment and tool generation. Phase 2 (Week 3-4): Security review, compliance documentation, and team training. Phase 3 (Week 5-6): Staged deployment with sandbox testing and CI/CD integration. Phase 4 (Week 7-8): Production deployment with monitoring and alerting. Total: 4-8 weeks for full enterprise implementation.

Yes. Our form scanner processes entire sites in minutes. For a 200-page site with 40+ forms, the AI Co-Pilot typically completes initial analysis in under 2 hours, generating draft tool definitions for every suitable form. The implementation roadmap prioritizes tools by business value and risk level.

WebMCP's Migration Intelligence imports your existing MCP server tool definitions (JSON-RPC format), analyzes each tool for WebMCP suitability, and generates browser-side equivalents. It produces a coverage gap analysis, parameter mapping reports, and security reviews for each migrated tool.

WebMCP's Revenue Attribution tracks every agent-driven conversion with dollar values — not projections, actual measured revenue. You'll see: total agent-driven revenue, agent vs. human conversion rates, agent vs. human average order values, and the trend over time. Early enterprise customers see agent-driven interactions reaching 8-15% of total web interactions within 6 months.

Three costs compound over time: (1) Lost agent traffic — agents fall back to brittle screen-scraping, resulting in errors and abandoned sessions. (2) Competitive disadvantage — sites with better tool quality win agent preference. (3) Data gap — every month without analytics is a month of agent behavior data you can't recover.

Yes. Standard enterprise SLA is 99.9% uptime. Custom SLAs — including specific response time guarantees, data processing commitments, and escalation procedures — are available for Tier 1 enterprise accounts.

We simulate real-world scenarios where AI agents have access to similar tools from multiple sites simultaneously — and measure which tools agents prefer. You see your selection rate vs. anonymized competitors, specific insights into WHY competitors rank higher or lower, and actionable recommendations to improve your ranking.