Make any site agent-native — and prove it.

Mahoney Context Protocol builds the layer of a website that AI agents read, then verifies it with a probe that runs the handshake — not a badge that checks a box.

Two layers, one site

Presentation layerWhat a person sees: the design, the words, the page. It advertises that the site can be operated.
Agent-surface layerWhat an agent uses: a working MCP server card, an A2A card, WebMCP tools, Agent Skills, OAuth discovery, schemas, an OpenAPI catalog — that actually answer when an agent knocks.

The two reinforce each other: the layer you read tells you the site can be operated, and the layer an agent uses backs that up with a live handshake.

The orchestrator

One manifest as the source of truth. Twenty generators for the machine layer. A probe gate between every step, so the chain can't move forward until the last thing it built actually handshakes. It takes a bare domain to agent-native, then re-scans to prove it — with a connection, not a checkmark.

Why presence isn't enough

Presence is cheap. A site can declare its whole agent surface in Link headers and have every path behind them return 404. Presence is a costume. The handshake is the test.

Read: Your AI-readiness badge is lying →
Agent view

Mahoney Context Protocol

Make any site agent-native — and prove it.

Context

Name
Mahoney Context Protocol
Email
joe@joemahoney.io
Tagline
Make any site agent-native — and prove it.
Thesis
The two-tier web: presentation layer (what humans read) + agent-surface layer (what agents use). One manifest as the source of truth. Twenty generators for the machine layer. A probe gate between every step.
Blog
Your AI-readiness badge is lying

Agent tools

get_context() Returns structured context: name, email, tagline, thesis, blog URL
search_blog({ query }) Search blog posts by keyword (static search on available posts)

Agent surfaces

llms.txt
/llms.txt
Markdown twin
/index.html.md
A2A card
/.well-known/agent.json
AI preferences
/.well-known/ai-preferences.json
WebMCP
/webmcp-init.js
JSON-LD
script tag in HTML head