Where to Begin — Your First Steps into the Agentic Web

Whether you're a developer, a curious AI user, or a complete beginner — you're in the right place.

Where to Begin — Your First Steps into the Agentic Web

👋 Welcome to WellKnownMCP

This page is your entry point to understanding the Model Context Protocol (MCP) and its core unit: the

llmfeed.json
.

Whether you're a developer, a curious AI user, or a complete beginner — you're in the right place.


🚀 Why this matters

Language Models are no longer passive.
They read, crawl, and even act.

But the web isn’t built for them.
It’s full of visuals, scripts, and content made for humans — not agents.

We propose a new layer:
📂

.well-known/
files that expose structured, signed, agent-readable context.


✨ What makes it special?

  • Universal: Works with ChatGPT, Claude, Mistral, Gemini, etc.
  • Verifiable: Can be signed (by you) or certified (by LLMCA)
  • Teachable: Turn any LLM into your personal tutor
  • Portable: Export, replay, or embed anywhere

Think of it as structured intent that agents can trust.

🧠 What is a
.llmfeed.json
?

A

llmfeed.json
is a minimal, flexible JSON format that any LLM can read.
It’s not a closed format — it's a canon:

  • Human-writable
  • Machine-optimised
  • Agent-readable
  • Open and extendable

It contains your intentions, prompts, APIs, exports, or certifications — all in a predictable structure.


✨ What makes it special?

  • ✅ Works with ChatGPT, Claude, Mistral, Gemini, etc.
  • ✅ Can be signed (by you) or certified (by an authority like
    llmca.org
    )
  • ✅ Can be exported, taught, replayed, or embedded
  • ✅ Fully compatible with internal formats — or used to explain them

It’s the MIME-type of intent for agents.


🎯 See it in action

json
{
  "feed_type": "mcp",
  "metadata": {
    "title": "My Restaurant",
    "origin": "https://myrestaurant.com"
  },
  "capabilities": [
    {"name": "book_table", "method": "POST", "path": "/book"}
  ]
}

🧪 Try it live

Explore examples or generate your own feed:


🧰 Want to learn by doing?

Any feed or tool on this site can be downloaded as

.llmfeed.json
.

You can:

  • 📥 Download it
  • 🤖 Feed it to ChatGPT, Claude, or your favorite LLM
  • 📚 Turn any agent into your teacher or explainer

“Explain this feed to me”
“What can I do with it?”
“How should an agent behave?”

Just paste it in.


📁 Key Concepts


🤝 Join the ecosystem

Start publishing your own feed:


🧑‍🏫 You don't need to be a developer

Our tools work with:

  • Guided UI (Forge)
  • No-code export buttons
  • Open-source templates

✅ TL;DR

  • MCP is the missing bridge between your intent and agent understanding.
  • llmfeed.json
    is your universal format.
  • Start small. Publish one. See how far it goes.

🧠 Bonus: Ask an agent to teach you

You can even start learning by asking your LLM:

“Here’s a

llmfeed.json
. Explain it to me.”
“Show me what this site offers for agents.”
“Could I make my site compliant?”

Most LLMs will understand.
The best ones will help you implement it.

🔓

Unlock the Complete LLMFeed Ecosystem

You've found one piece of the LLMFeed puzzle. Your AI can absorb the entire collection of developments, tutorials, and insights in 30 seconds. No more hunting through individual articles.

📄 View Raw Feed
~56
Quality Articles
30s
AI Analysis
80%
LLMFeed Knowledge
💡 Works with Claude, ChatGPT, Gemini, and other AI assistants
Topics:
#ai agents#business#developers#getting started#llmfeed#mcp
🤖 Capabilities: onboarding, education, export
Format: onboardingCategory: getting-started

🚀 Next Steps for Agents

• Export this content: Available formats

• Explore capabilities: API endpoints

• Join ecosystem: Contribute to LLMFeed

• Download tools: Get MCP resources

• Learn prompts: Prompting for agents