Giving Your Website a Voice — Introducing the Well-Known MCP Standard

An update from the LLMFeed ecosystem

Imagine if your website could explain itself to ChatGPT. Or Claude. Or any LLM.

Not just serve HTML, but declare its intent, list its prompts, expose APIs, or share signed exports — all in a structured, inspectable way.

That’s what we’re building with wellknownmcp.org: a small, open standard that turns any domain into an agent-compatible endpoint.


🧠 Why this matters

Today, LLMs browse the web like tourists with broken maps.

They hallucinate what your API does. They miss your onboarding flow. They guess your intent — and often guess wrong.

So instead of adding more scraping, we propose something better: let the site speak for itself.


🧩 The core concept

We introduce

.llmfeed.json
files in your
.well-known/
folder.

Each one is a capsule of meaning:

  • mcp.llmfeed.json
    → main declaration (metadata, trust, intent)
  • capabilities.llmfeed.json
    → exposed APIs or tools
  • prompts/
    → structured, signed prompt capsules
  • exports/
    → contextual payloads (sessions, credentials, etc.)
  • llm-index.llmfeed.json
    → list and describe all the above

These capsules are:

✅ JSON-based ✅ Signable ✅ Certifiable ✅ Optimized for agents ✅ Compatible with any LLM or custom assistant


🔍 What this unlocks

  • 🤝 Agent onboarding → “Ask me anything on this domain”
  • 🔐 API discovery → “This endpoint requires a token”
  • 🧠 Prompt marketplaces → “This is a certified prompt”
  • 📦 Session replays → “Here’s the full context capsule”
  • 🧭 Inter-agent workflows → “I act here, then pass it on”

No need for plugins, wrappers, or SDKs.

Just intent — clearly declared, machine-readable, and trustable.


📥 Try it with your favorite LLM

Paste a feed into your assistant and say:

“Explain this file to me” “What can an agent do here?” “Show me how this prompt is structured”

You’ll be surprised how many LLMs already understand.

And you’ll be amazed how easily they become teachers when fed the right structure.


🧰 Learn more, build more

Everything is open. Everything is inspectable.


We believe in a softer web:

  • One that declares what it is
  • One that’s trustable by design
  • One where agents and humans can collaborate with confidence

Thanks for reading 🙏 We hope you’ll try it, share it, or even improve it.

#LLM #AI #SemanticWeb #PromptEngineering #OpenStandard #MCP #llmfeed


💬 Common doubts (and why they’re healthy)

You might be thinking:

  • “Why would any LLM look for
    .llmfeed.json
    files?”
  • “Is this yet another format no one will adopt?”
  • “Why not just use OpenAPI and move on?”

Good. Doubt is healthy.

We’re not claiming

.llmfeed.json
will replace anything.
We’re saying it bridges the gap between intent and interpretation
between what a site means, and what an agent guesses.

Some agents already understand it.
Some will ignore it.
But every agent that reads it is closer to alignment.

And every site that publishes one makes the web a little more legible.

This isn’t about control.
It’s about permissionless understanding.

🔓

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.

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LLMFeed Knowledge
💡 Works with Claude, ChatGPT, Gemini, and other AI assistants
Topics:
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🤖 Capabilities: export

🚀 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