by Mohamed Khaled 1 (0 reviews)

Mokhai - Agent Readiness Kit

Name: Mokhai - Agent Readiness Kit
Author: Mohamed Khaled

Help AI agents read your WordPress site correctly: llms.txt, clean Markdown views, structured data, and a readiness score — from one Context Profile.

Mokhai ranks #48,428 among WordPress.org plugins with 1+ active installations, is #1,794 of 3,803 in the SEO & Marketing category, a 1/5 rating from 0 reviews, and was last updated Jun 29, 2026. Data from WordPress.org, refreshed twice daily — see methodology.

Tested up to WP 7 (Current: 7.1.2)

v0.4.0 Current Version v0.4.0

Updated 2 months ago Last Update on 29 Jun, 2026

Refreshed 10 hours ago Last Refreshed on

#1,794 of 3,803 in SEO & Marketing

View on WordPress.org

Rank

#48,428

— No change

Active Installs

-66.7%

KW Avg Position

171

2.5 worse

Downloads

444

+3 today

Support Resolved

— No change

Rating

20%

Review 1 out of 5

1 (0 reviews)

Next Milestone 10

Total Progress 40%

0+ 10+

47,728

Ranks to Climb

Growth Needed

8,000,000

Active Installs

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Rank Changes

Current #48,428

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Active Installs Growth

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Active Installs 0,000,000+

Growth +0.0%

Peak 0,000,000

Downloads Growth

Downloads

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Reviews & Ratings

1.0

0 reviews

Overall 20%

0 (0%)

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Plugin Details

Version: 0.4.0
Last Updated: Jun 29, 2026
Requires WP: 6.9+
Tested Up To: 7
PHP Version: 7.4 or higher
Author: Mohamed Khaled

Support & Rating

Rating: ★ ☆ ☆ ☆ ☆ 1
Reviews: 0
Support Threads: 0
Resolved: 0%

Keywords

AI Agents llms.txt markdown schema

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Frequently Asked Questions

Common questions about Mokhai - Agent Readiness Kit

No. Every deterministic surface (Markdown Views, /llms.txt floor, rule-based Context Score narrative, gap-fill JSON-LD emission) runs fully locally with no external calls. Modules that benefit from an LLM (the Markdown cleanup pass, /llms.txt entry-description drafting, the LLM-narrated Context Score) require the optional WP AI Client to be configured, but each is independently toggleable and not load-bearing for the core agent-readiness contract.

For JSON-LD: when an SEO plugin (Yoast, Rank Math, AIOSEO, The SEO Framework) is active, Mokhai emits nothing competing — schema is theirs. When no SEO plugin is emitting JSON-LD, you can optionally enable Mokhai's native gap-fill emission from the Context Profile. For noindex: Mokhai ships an agentready_post_is_noindexed filter the Markdown Views handler honours; v0.1 leaves the SEO-plugin subscriber unwired (a theme or companion plugin can subscribe it today; native Yoast / Rank Math / AIOSEO subscribers ship in a follow-up release).

/llms.txt is one surface among several. Mokhai ships the integrated reading layer (Markdown views), the discovery layer (/llms.txt with editorial entries and LLM-powered descriptions), the audit layer (Context Score across seven sub-scores), and the schema coordination layer as a single coherent unit driven by one Context Profile. Most existing plugins target one of these surfaces in isolation; Mokhai treats them as a coordinated stack.

v0.2 shipped the AI Assistant Preview pane, the WordPress Abilities API + MCP integration, and the multi-channel discovery sub-score. Looking ahead: a fuller agent-actionable layer (callable tools via WebMCP / navigator.modelContext), agent-activity analytics (per-bot counters), and a richer /.well-known/llms-policy.json policy-declaration surface.