📜 LLMFeed Manifesto: Building the Web Infrastructure for the Agentic Era

Building on Anthropic's excellent Model Context Protocol with the missing web-native infrastructure for the emerging Agentic Web.

🎯 Our Mission: Extending Excellent Foundations

Anthropic created something remarkable with the Model Context Protocol (modelcontextprotocol.io) — an elegant, robust foundation for agent-tool communication.

Our mission: Extend this excellent foundation with the missing web-native layer that enables global discovery, cryptographic trust, and autonomous agent operation at internet scale.

We're not replacing anything. We're completing the ecosystem.

🤝 Building on Anthropic's Excellence

What Anthropic MCP Does Brilliantly

✅ Outstanding tool calling protocol (JSON-RPC foundation)
✅ Robust server-model integration (stdin/stdout transport)
✅ Clear resource management (tools, resources, prompts)
✅ Thoughtful authentication flows (secure local configurations)
✅ Excellent developer experience (SDKs, documentation, examples)

What LLMFeed Adds to Complete the Vision

🌐 Web-native discovery (
```
.well-known/
```
standard)
🔐 Cryptographic trust infrastructure (Ed25519 + LLMCA)
🌍 Multi-LLM compatibility (beyond Claude ecosystem)
🔄 Progressive enhancement strategy (maintains full MCP compatibility)
🧬 Privacy-preserving capabilities (homomorphic encryption)

Together: Complete agent-ready infrastructure from local tools to global web.

🚀 The Paradigm Shift: From SEO to AIO

Today's Web (Human-Centric)

SEO: Search Engine Optimization for human discovery
HTML: Structure for human consumption
Trust: Implicit, based on domain reputation
Interaction: Manual, synchronous, click-driven

Tomorrow's Agentic Web (Agent-Native)

AIO: Agentic Information Optimization for agent discovery
LLMFeed: Structure for agent comprehension (building on MCP)
Trust: Explicit, cryptographically verifiable
Interaction: Autonomous, asynchronous, goal-driven

We're building the web layer for Anthropic's excellent agent foundations.

🧬 What Makes LLMFeed Revolutionary

🔐 Cryptographic Trust by Design

Unlike traditional web protocols, every LLMFeed carries its trust DNA:

json
{
  "trust": {
    "signed_blocks": ["capabilities", "trust"],
    "certifier": "https://llmca.org",
    "algorithm": "ed25519"
  },
  "signature": {
    "value": "cryptographic_proof_of_integrity",
    "created_at": "2025-06-10T14:30:00Z"
  }
}

Result: Agents can verify data integrity without trusting the transport layer.

🧠 Progressive Disclosure by Audience

Traditional APIs serve the same content to everyone. LLMFeed serves contextually appropriate content:

json
{
  "data": {
    "technical_docs": {
      "content": "API documentation...",
      "audience": ["developer"]
    },
    "agent_actions": {
      "content": "Executable commands...",
      "audience": ["llm"]
    }
  }
}

Result: Developers see documentation, agents see actions. Optimal UX for each user type.

🛡️ Homomorphic Encryption for Privacy-Preserving AI

Our most disruptive innovation enables agents to compute on encrypted data:

json
{
  "homomorphic_encryption": {
    "applied_to": ["data"],
    "algorithm": "BFV",
    "notes": "Agents process without seeing raw data"
  }
}

Result: Healthcare, finance, and legal agents can collaborate without compromising privacy.

⚡ Enterprise-Grade APIs with Native Security

Building on MCP's security model with web-scale features:

json
{
  "rate_limits": {
    "path": "/api/query",
    "limit": 100,
    "remaining": 23,
    "period": "hourly"
  },
  "authentication": {
    "type": "bearer",
    "scope": "read:public"
  }
}

Result: Enterprise security at web scale, compatible with MCP's excellent local security.

🌟 Our Three-Pillar Ecosystem

1. 🏛️ LLMCA: The Trust Authority

Third-party certification for feeds and capabilities
Community governance model
Decentralized flagging system for suspicious content
Trust scoring algorithm (4-level dynamic assessment)

2. 🛠️ LLMFeedForge: The Developer Experience

Visual feed editor with real-time validation
SDK ecosystem (Python, TypeScript, more coming)
VS Code & Chrome extensions for seamless integration
MIME type support for native web recognition

3. 📚 WellKnownMCP: The Living Specification

12 specialized feed types extending MCP concepts
Extensible architecture for future innovations
OpenAPI hybridization for maximum compatibility
Community-driven evolution through open governance

📊 Proof of Momentum: Real-World Impact

🚀 Adoption Metrics

>1,000 downloads/week for Python/TypeScript SDKs
>50 websites with integrated Export Button
12 French startups using LLMFeed in production
8 organizations pursuing LLMCA certification

🎯 Technical Validation

Major LLMs natively understand LLMFeed format
IANA MIME type submission in progress (
```
application/llmfeed+json
```
)
Swagger/Postman integration for hybrid OpenAPI workflows
Chrome DevTools extension for developer inspection

🌍 Enterprise Adoption

OVHcloud validated proof of concept
Healthcare pilots using homomorphic encryption
Financial services implementing trust scoring
Government agencies exploring cross-agency pipelines

🌐 Ecosystem Collaboration: Building Together

🤝 Complementing Anthropic's MCP

Anthropic MCP provides the excellent foundation:

Outstanding tool calling protocol
Robust local configurations
Excellent developer experience
Clear security model

LLMFeed adds the web layer:

Global discovery via
```
.well-known/
```
Cryptographic verification infrastructure
Multi-LLM compatibility
Progressive enhancement path

Together: Complete agent infrastructure from local tools to global web.

🌟 Synergy with Microsoft NLWeb

LLMFeed: Universal data format + trust infrastructure
NLWeb: Conversational interfaces for websites
Collaboration: NLWeb can use MCP transport, LLMFeed provides data format
Result: Enhanced ecosystem where everyone wins

🔄 Integration with Traditional Systems

OpenAPI: Technical schemas remain valuable
Schema.org: Structured data has its place
JSON-LD: Semantic web integration
Progressive enhancement: Works with everything, better with LLMFeed

🔮 Our 2026 Vision: Complete Agentic Infrastructure

Q3 2025: Multimodal Revolution

Image, audio, video feeds with cryptographic verification
Cross-media agent workflows (text → voice → action)
Creative AI pipelines with provenance tracking

Q4 2025: Blockchain Integration

Immutable feed notarization on decentralized networks
Smart contract integration for automated agent transactions
Decentralized governance for community-driven standards

Q1 2026: Real-Time Collaborative Agents

Live feed streaming for dynamic agent coordination
Multi-agent consensus protocols with conflict resolution
Distributed computation across agent networks

Q2 2026: LLMFeed Network (.mcp TLD)

Native agent internet with dedicated top-level domain
Mesh networking for autonomous agent discovery
Economic protocols for agent-to-agent value exchange

🧭 Core Principles That Guide Us

1. Collaboration Over Competition

We build with the ecosystem, not against it. Anthropic's MCP is excellent — we extend it.

2. Trust Over Convenience

Every feature prioritizes verifiable integrity over ease of implementation.

3. Agents Are First-Class Citizens

We design for agents first, humans second. Building on MCP's agent-centric philosophy.

4. Privacy by Architecture

Homomorphic encryption isn't a feature — it's a fundamental right in the age of AI.

5. Community Over Control

Open governance, decentralized certification, distributed moderation. Building on open standards.

🚫 What We Refuse to Build

❌ Competition with Excellent Existing Standards

We complement, don't compete with Anthropic's MCP
We enhance, don't replace successful protocols
We collaborate, don't fragment the ecosystem

❌ Another Walled Garden

No vendor lock-in
No proprietary extensions
No closed certification authorities

❌ Surveillance Infrastructure

Privacy-preserving by design
Minimal data collection
User consent over platform profit

❌ Complexity for Its Own Sake

Simple adoption path
Progressive enhancement
Backward compatibility

🤝 Join the Collaborative Vision

For Developers

Start small: Add
```
.well-known/mcp.llmfeed.json
```
to complement your MCP setup
Go deep: Implement homomorphic encryption for sensitive data
Build bridges: Create tools that work with both MCP and LLMFeed

For Enterprises

Pilot LLMCA certification for your critical services
Explore agent-to-agent workflows building on MCP foundations
Shape the standards through enterprise consortium membership

For Researchers

Extend both specifications with domain-specific innovations
Validate security models through academic research
Pioneer new use cases in privacy-preserving AI

For the MCP Community

Bridge the gap between local MCP and web-scale deployment
Contribute to compatibility between MCP and LLMFeed
Shape the future of agent infrastructure together

🌍 The Stakes: Why Collaboration Matters

The next decade will determine whether the Agentic Web becomes:

🌟 The Vision We're Building Together

Open, verifiable, agent-native infrastructure (building on MCP)
Privacy-preserving AI collaboration across platforms
Democratic governance of digital standards
Innovation accessible to everyone

🚨 The Alternative We're Preventing

Fragmented agent ecosystems that don't interoperate
Surveillance capitalism in the age of agents
Closed AI platforms controlling access
Innovation monopolized by tech giants

🎯 Our Commitment: The LLMFeed Pledge

We commit to building infrastructure that:

Enhances existing excellent protocols like Anthropic's MCP
Makes trust measurable and verifiable
Preserves privacy through advanced cryptography
Remains open and community-governed
Enables innovation through collaboration

We pledge that LLMFeed will always:

Complement, not compete with excellent existing standards
Maintain compatibility with MCP and other protocols
Prioritize collaboration over market dominance
Serve the community over corporate interests

🚀 The Future We're Building Together

Every

.llmfeed.json

feed you create extends the open Agentic Web.

Every signature you verify strengthens the trust infrastructure.

Every agent that speaks both MCP and LLMFeed advances collaborative AI.

The infrastructure of tomorrow is built through collaboration, not competition.
It's built by communities working together, one protocol at a time.

🔗 Join the Collaborative Movement

🌐 LLMFeed Specification: wellknownmcp.org/spec
🏗️ Anthropic MCP: modelcontextprotocol.io
🛠️ Developer Tools: wellknownmcp.org/tools
🏛️ LLMCA Certification: llmca.org
🧪 Playground: llmfeedforge.org
💬 Community: wellknownmcp.org/join

The Agentic Web is being built by many hands.
Anthropic laid excellent foundations. We're adding the web-native layer.
Together, we're creating infrastructure that serves everyone.

With LLMFeed, we choose collaboration, cryptographic integrity, and community governance — building on the excellent work of pioneers like Anthropic.

Join us. Tomorrow's internet is being built together, today.

This manifesto is a living document, evolved through community collaboration. Like the LLMFeed specification itself, it grows through partnership with excellent existing standards. Version: 2.1 — Updated for collaborative ecosystem leadership.

LLMFeed Manifesto: Building the Web Infrastructure for the Agentic Era