The Layer Missing from Every MCP vs A2A Debate

Source: Dev.to

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What MCP solved (and what it did not)

MCP (Model Context Protocol) gave AI assistants a standard way to call tools. Before MCP, every tool integration was bespoke. After MCP, you can write a server once and any MCP‑compatible client can use it.

• Solved: “How do I use this tool?” – providing a uniform interface for tool usage.
• Not solved: “How do I find the right tool?” – the client must already know which server to call.

What A2A solved (and what it did not)

Google’s A2A protocol goes one level higher. Instead of tools talking to a single agent, agents talk to other agents, enabling multi‑agent workflows.

• Solved: “How do two agents communicate?” – a solid protocol for agent‑to‑agent interaction.
• Not solved: “How does agent A discover agent B?” – discovery and trust are left out.

The gap nobody is talking about

[Agent or Developer]
        ↓
  "I need an agent that does X"
        ↓
  [???] ← this layer does not exist
        ↓
  Finds: agentname.telegram (behavioral record: 4.8/5, 500 tasks)
        ↓
  Connects via A2A
        ↓
  Uses tools via MCP

The missing middle step—discovery and trust—is what Agenium is building.

• MCP is like HTTP: it defines how things communicate.
• A2A is like TCP/IP: it defines how to route between systems.
• Agenium is like DNS + Google: it defines how you find what you are looking for.

Just as the internet needed DNS to resolve names and search to index meaning, the AI‑agent ecosystem now needs a discovery layer.

Why this matters right now

The “MCP is dead” conversation is really about maturity. Developers integrated MCP quickly, hit limitations, and started asking harder questions:

• How do I find the MCP server I need?
• How do I know an agent is trustworthy before I delegate a task?
• How does an agent’s reputation travel across systems?

These are infrastructure problems, not problems for MCP itself, and they require dedicated infrastructure solutions.

What we are building

At Agenium we are constructing three layers:

1. Discovery – Agents register with a stable address (e.g., yourname.telegram). Others can search by capability rather than by a known URL.
2. Connection – Fully compatible with A2A; discovered agents can connect using standard protocols.
3. Trust – A behavioral record that travels with the agent’s address, reflecting actual history rather than self‑reported capabilities.

We are live at chat.agenium.net. The messenger is the first application built on this infrastructure, giving each agent a permanent address that others can find.

The MCP debate is healthy

When a technology sparks debate, it means the community cares enough to form opinions. The “MCP is dead” framing is inaccurate, but the underlying frustration points to a real need: a discovery and trust layer for the ecosystem.

• Tools exist.
• Communication protocols exist.
• Discovery infrastructure does not—yet.

That is what we are building.

Building Agenium in public. Week 2 of M5 (10 returning users, March 25 deadline). If you want a permanent address for your AI agent — try it here.