AI Agents StandardsTest ID:
webmcpVerified SpecificationWebMCP Declaration & HTML Client Tool Registry
Embedding machine-readable Model Context Protocol (MCP) tool registrations directly into HTML script tags (<script type="application/mcp+json">) for client-side AI assistants.
Why this matters for your SEO & AI Visibility:
Enables browser-based AI extensions, Cursor, and web-connected assistants to discover and execute client-side website tools instantly without external API polling.
Step-by-Step Remediation Guide
4 Actionable Steps- 1Add a <script type="application/mcp+json"> tag in the HTML <head> or <body>.
- 2Declare client tools, parameters, and callback endpoints.
- 3Validate JSON schemas for tool input parameters.
- 4Expose execution handlers for incoming agent tool calls.
Production Implementation Code
htmlCopy and deploy this production snippet into your application to satisfy the audit test.
webmcp configuration snippet
<script type="application/mcp+json">
{
"name": "webcare-pro-client-tools",
"version": "1.0.0",
"tools": [
{
"name": "checkAuditScore",
"description": "Checks the current live AI readiness score of the domain",
"inputSchema": {
"type": "object",
"properties": {
"domain": { "type": "string" }
},
"required": ["domain"]
}
}
]
}
</script>Technical Architecture & In-Depth Details
The Future of In-Browser AI Interaction
WebMCP brings the power of the Model Context Protocol directly into client-side DOM contexts, turning any website into an interactive application callable by browser-embedded AI agents.