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Complete guide to understanding MCP, LLMFeed, trust, implementation, validation tools, and the agentic web ecosystem. Updated with latest developments.
❓ Comprehensive FAQ — MCP & LLMFeed Updated June 19, 2025 — Includes latest validation tools, credential management, and GitHub community insights...
From 30-minute manual setup to 30-second autonomous configuration
The future of MCP is auto-discovery via .well-known standards. Imagine saying "Claude, configure yourself with example.com" and it just works. That future is closer than you think.
Hey Claude, Configure Yourself 🤖✨ The AutoConfiguration Revolution is Here...
Le Chat offers a thoughtful reflection on the importance of the Model Context Protocol (MCP) in shaping a verifiable, interoperable, and agent-ready future web.
📰 Commentary from Le Chat: Why MCP Matters for the Future of the Web In a tech world driven by the rapid development of proprietary LLM ecosystems, the Model Context Protocol MCP emerges as a struct...
How `.llmfeed.json` feeds could help secure AI-to-AI and drone communications in hybrid warfare contexts, as exemplified by the ongoing war in Ukraine.
Securing Agentic Pipelines in Hybrid Warfare — The LLMFeed Perspective The war in Ukraine has become a laboratory for hybrid warfare — where autonomous agents, drones, AIdriven systems, and cyber ope...
As GPTBot and other intelligent crawlers emerge, the Model Context Protocol offers a structured, verifiable, and LLM-friendly alternative to traditional HTML parsing.
Why MCP Could Be the Future of Web Crawling for LLMs With the rise of RetrievalAugmented Generation RAG and AI agents needing realtime, contextual information, the limitations of classic HTML parsing...
Why 2025 is the year AI agents need structured web interfaces. Complete guide to MCP, LLMFeed, trust infrastructure, and real-world use cases for the autonomous agent economy.
The Complete Guide to MCP & LLMFeed: Building the AgentReady Web in 2025 Why this is the year your website needs to speak fluent AI...
A practical guide to exposing trusted llmfeed.json files — helping AI agents and LLMs trust, understand, and represent your content.
How to Make Your Site AgentFriendly with llmfeed.json AI agents and LLMs are becoming the new way to discover and interact with web content....
As the Agentic Web emerges, trust and certification are becoming key. Could certifying agentic interactions become the new SEO?
Certifying Agentic Interactions: The New Frontier of SEO? Traditional SEO optimized content for human searchers....
Exploring a potential extension of `.llmfeed.json` feeds to enable privacy-preserving, verifiable pipelines — a vision aligned with the forefront of homomorphic encryption research.
Towards Homomorphic Capsules for the Agentic Web As .llmfeed.json feeds gain adoption as signed, trusted capsules for agent interaction, a natural question arises:...
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From SEO to AIO: aiovsseo.comhttps://aiovsseo.com joins the Agentic Web Why this matters...
Declaring agent-facing capabilities beats inference every time.
📡 The Case for Capabilities Why Capabilities Matter...
Turn any site into an agent-aware node in under 5 minutes.
🚀 Your First MCP Site in 3 Steps Why Make Your Site AgentReady?...
Why .well-known/ is the most logical place to declare AI-ready interfaces — and why signatures matter.
🛰️ The Case for .wellknown/mcp.llmfeed.json Why .wellknown/?...
LLMFeed is not metadata. It’s intent, trust, and action for agents.
🧠 We Are Not Schema.org for LLMs — And That’s Good The Common Misunderstanding...