Enterprise·
advanced
·15 min read·Sep 24, 2026
By Rad Tome·Lead AI Systems Architect

A2A and MCP: Multi-Agent Protocol Federation

How the Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP) combine into a unified, decentralized enterprise multi-agent architecture.

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A2A and MCP: Multi-Agent Protocol Federation

In 2026, autonomous systems are transitioning from monolithic internal assistants to multi-organization agent federation. An enterprise agent operating inside one corporate boundary often needs to delegate tasks to a specialized vendor agent (e.g., Stripe financial auditing, Datadog observability triage, or external legal review) without exposing internal infrastructure or granting unrestricted API keys.

This paradigm requires two distinct protocol layers working in tandem:

  1. ▸Agent-to-Agent Protocol (A2A): Governs intent negotiation, identity federation, billing handshakes, and peer-to-peer delegation between autonomous agents.
  2. ▸Model Context Protocol (MCP): Governs vertical tool and resource integration between an agent runtime and local/remote backend systems.

Together, A2A + MCP form the standardized protocol stack for enterprise AI.


1. The Two-Layer Protocol Stack

While MCP acts as the "USB-C port" between an agent and its tools, A2A acts as the "BGP/HTTP networking protocol" between distinct agents.

code
┌────────────────────────────────────────────────────────┐
│                   ENTERPRISE HOST                      │
│   Primary Agent (Claude / Codex CLI / Gemini)          │
└──────────────────────────┬─────────────────────────────┘
                           │
            A2A Protocol Negotiation (Intent / Auth / SLA)
                           │
                           ▼
┌────────────────────────────────────────────────────────┐
│                   VENDOR AGENT CLUSTER                 │
│   Specialized Subagent (e.g. Security Audit Agent)     │
└──────────────────────────┬─────────────────────────────┘
                           │
              MCP Transports (stdio / SSE / mTLS)
                           │
       ┌───────────────────┼───────────────────┐
       ▼                   ▼                   ▼
┌──────────────┐    ┌──────────────┐    ┌──────────────┐
│  MCP Server  │    │  MCP Server  │    │  MCP Server  │
│  PostgreSQL  │    │  Git / CI    │    │  AWS Auditor │
└──────────────┘    └──────────────┘    └──────────────┘

2. A2A Task Delegation Envelope

When a client agent delegates a subtask over A2A, it packages user intent, cryptographic tokens (W3C DID or Verifiable Credentials), and scoped MCP tool permissions:

json
{
  "a2a_version": "1.0",
  "task_id": "task_98412_audit_sec",
  "sender_agent_did": "did:web:internal.acme.corp:agent:ops-lead",
  "recipient_agent_did": "did:web:vendor.security-audit.io:agent:inspector",
  "intent": {
    "action": "security_audit_repository",
    "parameters": {
      "repo_url": "https://github.com/acme-corp/payment-service",
      "target_commit": "e814bf9"
    }
  },
  "delegated_mcp_capabilities": {
    "endpoint": "https://mcp-gateway.internal.acme.corp/sse",
    "session_token": "mcp_jwt_scoped_read_only_849201",
    "allowed_tools": [
      "github_get_file_contents",
      "github_list_commits",
      "sentry_query_issues"
    ],
    "max_tool_invocations": 25
  },
  "sla": {
    "timeout_seconds": 120,
    "budget_usd": 1.50
  }
}

3. Resolving A2A Invocations via Scoped MCP Gateways

When the vendor agent accepts the A2A envelope, it initializes an MCP connection to the client's delegated gateway using the scoped token:

typescript
// a2a_mcp_bridge.ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";

export async function connectDelegatedMcp(a2aEnvelope: any) {
  const { endpoint, session_token, allowed_tools } = a2aEnvelope.delegated_mcp_capabilities;

  const transport = new SSEClientTransport(new URL(endpoint), {
    headers: {
      Authorization: `Bearer ${session_token}`
    }
  });

  const client = new Client({
    name: "A2A-Vendor-Worker",
    version: "1.0.0"
  }, {
    capabilities: {}
  });

  await client.connect(transport);

  // Discover and filter tools based on A2A SLA contract
  const allTools = await client.listTools();
  const authorizedTools = allTools.tools.filter(t => allowed_tools.includes(t.name));

  console.log(`✅ A2A Agent connected to delegated MCP gateway with ${authorizedTools.length} tools.`);
  return { client, authorizedTools };
}

4. Key Security Directives for Protocol Federation

  1. ▸Ephemeral Tokens: Never pass permanent API keys over A2A. The delegating party issues single-task JWTs valid for <= 5 minutes.
  2. ▸Reverse Proxy Egress Sandboxing: The remote vendor agent never connects directly to database servers; all queries traverse an MCP Reverse Proxy that strips write operations (e.g. DROP, UPDATE, DELETE).
  3. ▸Audit Trail Synchronization: Every tool execution generated by the subagent logs both the A2A task_id and the MCP call_id into an immutable ledger for compliance.
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A2A and MCP: Multi-Agent Protocol Federation FAQ

What is the A2A and MCP: Multi-Agent Protocol Federation?

How the Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP) combine into a unified, decentralized enterprise multi-agent architecture.

How do I configure A2A and MCP: Multi-Agent Protocol Federation in Claude Desktop or Cursor?

You can copy the configuration JSON from our guide or launch the interactive MCP Codex Config Generator at https://mcp-codex.com/generator to export valid configs in 1 click.

Can I use A2A and MCP: Multi-Agent Protocol Federation with the OpenAI Codex CLI?

Yes, OpenAI Codex CLI supports Model Context Protocol. You can add it directly to ~/.codex/config.toml or pass arguments to codex mcp add.

RT

Written by Rad Tome

Lead AI Systems Architect & Founder, MCP Codex

@RadTome

Specializing in Model Context Protocol (MCP) integrations, autonomous AI agent orchestration, and distributed developer toolchains. Researches and benchmarks production MCP client-server architectures across OpenAI Codex, Claude, and Cursor.

Editorial Integrity: All configurations, schemas, and commands verified against live GitHub repositories and tested in local sandbox runtimes.

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