Ecosystem
A2E, MCP & A2A
How A2E fits in the agentic AI ecosystem.
The Three Protocols
The agentic AI ecosystem is built on three complementary protocols, each solving a different problem:
┌─────────────────────────────────────────────────────┐
│ DISCOVERY LAYER │
│ ┌───────────────────────────────────────────────┐ │
│ │ A2E: "Which MCP serves this entity?" │ │
│ │ (Real-world entity → MCP endpoint) │ │
│ └───────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ INTERACTION LAYER │
│ ┌─────────────────────┐ ┌─────────────────────┐ │
│ │ MCP │ │ A2A │ │
│ │ Agent ↔ Tool │ │ Agent ↔ Agent │ │
│ │ (use capabilities) │ │ (collaborate) │ │
│ └─────────────────────┘ └─────────────────────┘ │
└─────────────────────────────────────────────────────┘What Each Protocol Does
| Protocol | Question it answers | Interaction type |
|---|---|---|
| MCP | "What can this server do?" | Agent → Tool (stateless) |
| A2A | "How do I collaborate with this agent?" | Agent ↔ Agent (stateful, peer) |
| A2E | "Which MCP serves this real-world entity?" | Discovery (before interaction) |
The Missing Link
MCP directories tell you what servers exist and their capabilities. But when a user says "Book a table at Acme Restaurant", the agent needs to know which MCP serves Acme Restaurant specifically.
Without A2E:
User: "Book at Acme Restaurant"
Agent: "I know 50 booking MCPs... but which one has Acme?" ❌
With A2E:
User: "Book at Acme Restaurant"
Agent: GET acme-restaurant.com/.well-known/entity-card.json
→ mcp.booking-provider.com
→ Execute reservation ✓A2E bridges the gap between real-world entities (businesses, services, places) and the agentic infrastructure (MCPs, agents).
How They Work Together
A complete agentic flow might use all three protocols:
1. DISCOVERY (A2E)
"Book a haircut at Le C Coiffeur"
→ GET le-c-coiffeur.com/.well-known/entity-card.json
→ MCP endpoint: mcp.planity.com
2. INTERACTION (MCP)
→ Connect to mcp.planity.com
→ Call: get_availability(entity_ref: "le-c-coiffeur")
→ Call: create_booking(...)
3. COLLABORATION (A2A) - if needed
→ Payment agent handles transaction
→ Calendar agent syncs appointmentComparison Table
| Aspect | A2E | MCP | A2A |
|---|---|---|---|
| Purpose | Entity discovery | Tool usage | Agent collaboration |
| Published by | Entity (business) | Tool provider | Agent provider |
| Discovery | /.well-known/entity-card.json | Registry / direct | Agent cards |
| Identity | Domain-based | Endpoint-based | Agent card |
| Stateful | No | No | Yes |
Fully Complementary
A2E does not compete with MCP or A2A. It operates at a different layer:
- MCP defines how to interact with a server once you know its endpoint
- A2A defines how agents collaborate on complex tasks
- A2E helps you find the right endpoint for a specific entity
Think of A2E as DNS for the agentic world: it resolves real-world names to technical endpoints.