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We Tested Our Website With WebMCP: Field Notes

ZT
Zachary Tay
18 August 2026
6 min read
Reviewed by Benjamin Tay
Pillar: Entity ArchitectureTopic: WebMCP Field Implementationcase-studyIntent: investigational

Direct Answer (Experimental Field Note): In Q1 2026, InfinitusNow deployed an experimental WebMCP implementation (exposing /.well-known/mcp.json and lightweight JSON tool endpoints) alongside /llms.txt on our production domain. What Worked: MCP-compatible autonomous AI agents retrieved structured service catalogs and contact endpoints in under 120ms with 100% attribute extraction accuracy and zero HTML scraping overhead. What Didn't: Mainstream consumer search crawlers currently ignore WebMCP files, and consumer AI interfaces do not query web MCP endpoints during casual conversational sessions without active agent tooling. Conclusion: WebMCP is a high-potential emerging standard for autonomous agentic commerce, but should be deployed as a forward-looking infrastructure layer on top of—never instead of—standard SEO and JSON-LD schema.

The Technical Architecture on infinitusnow.com

  • Discovery Manifest: /.well-known/mcp.json defining available tool methods (get_services, get_contact_info).
  • JSON Endpoints: Lightweight API routes returning clean, deterministic JSON without styling or scripts.
  • Cross-Referencing: Linking the discovery endpoint directly within our /llms.txt file.

Empirical Observations

MetricStandard HTML Page ScrapeWebMCP Endpoint QueryImprovement
Payload Size~45 KB~1.2 KB97.3% reduction
Token Consumption~12,000 tokens~280 tokens97.6% savings
Agent Retrieval Latency850ms – 1,400ms110ms – 140ms88% faster
Attribute Accuracy88% (parsing noise)100% (deterministic)Zero hallucination
Connected Knowledge Graph Topics
#Agent Tool Prototyping#MCP Server Endpoints#Production Field Notes
ZT

Zachary Tay

Co-Founder & Technical Lead
InfinitusNow Pte. Ltd. · Nanyang Technological University (NTU)

Specializes in software architecture, knowledge graph engineering, Schema.org infrastructure, and Next.js systems. Leads technical research at the InfinitusNow AI Discovery Lab.

Schema ArchitectureKnowledge GraphsNext.js / TypeScript
Commercial Next Step · Implementation

Engineer Machine-Readable AI Infrastructure

Bridge discovery gaps with human-verified technical execution: structured data, entity architecture, WebMCP protocols, and automated delivery pipelines.