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A2a Mcp Bridge

skill-orcaqubits-agentic-commerce-skills-plugins-a2a-mcp-bridge · by OrcaQubits

Build bridges between A2A and MCP — wrap A2A agents as MCP tools, use MCP tools from A2A agents, and architect hybrid multi-agent systems. Use when integrating A2A agent-to-agent communication with MCP tool access.

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Install

$ agentstack add skill-orcaqubits-agentic-commerce-skills-plugins-a2a-mcp-bridge

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

A2A + MCP Bridge

Before writing code

Fetch live docs:

  1. Fetch https://a2a-protocol.org/latest/specification/ for the A2A protocol details
  2. Web-search a2a mcp integration bridge agent tool for patterns combining the two protocols
  3. Web-search site:github.com a2aproject A2A MCP for any official A2A-MCP integration examples
  4. Web-search site:modelcontextprotocol.io specification for the latest MCP specification

Conceptual Architecture

A2A vs MCP — Complementary Protocols

| Aspect | A2A | MCP | |--------|-----|-----| | Purpose | Agent-to-agent delegation | Agent-to-tool/data access | | Participants | Agents (opaque, autonomous) | Agent + tool server (transparent) | | Communication | Tasks with messages | Tool calls with structured I/O | | State | Long-lived tasks with lifecycle | Stateless tool invocations | | Discovery | Agent Cards | Server manifests | | Transport | JSON-RPC over HTTP | JSON-RPC over stdio/HTTP+SSE |

Why Bridge Them

Real-world multi-agent systems need both:

  • A2A for delegating complex, open-ended work to other agents
  • MCP for accessing specific tools, databases, APIs, and data sources

Bridging patterns enable agents to participate in both ecosystems.

Bridge Patterns

Pattern 1: A2A Agent Wrapping MCP Tools

An A2A agent that internally uses MCP tools to fulfill tasks.

Client Agent → (A2A) → Bridge Agent → (MCP) → Tool Server
  • Client sends a task via A2A
  • Bridge agent interprets the task
  • Bridge agent calls MCP tools to gather data/perform actions
  • Bridge agent composes the result and returns via A2A
Pattern 2: MCP Tool Wrapping an A2A Agent

An MCP tool that delegates work to an A2A agent.

Agent → (MCP tool call) → MCP Server → (A2A) → Specialist Agent
  • Agent calls an MCP tool
  • MCP server sends a task to a specialist A2A agent
  • A2A agent processes and returns
  • MCP server returns the result as tool output
Pattern 3: Hybrid Orchestrator

A coordinator agent that uses both A2A and MCP:

Orchestrator Agent
  ├── (A2A) → Research Agent
  ├── (A2A) → Writing Agent
  ├── (MCP) → Database Tool
  └── (MCP) → Search Tool

Implementation Considerations

A2A agent using MCP tools:

  • The agent's handler connects to MCP servers as part of its processing
  • MCP tool calls happen inside the working state
  • Results from MCP tools inform the A2A task response
  • The A2A client doesn't know or care that MCP is used internally

MCP tool wrapping A2A agent:

  • MCP tool definition describes what the A2A agent can do
  • Tool handler creates an A2A task, waits for completion
  • Map A2A task failures to MCP tool errors
  • Handle A2A multi-turn by either auto-responding or failing with a message

State mapping:

  • A2A tasks are long-lived; MCP tool calls are short-lived
  • For synchronous MCP tools wrapping A2A, block until the A2A task completes
  • For async scenarios, consider returning a task ID and providing a status-check tool

Architecture Guidelines

  • Keep the bridge layer thin — don't add unnecessary abstraction
  • Clearly document which protocol each component uses
  • Handle timeout mismatches (MCP tools typically expect fast responses; A2A tasks can be long)
  • Map error codes between protocols appropriately
  • Log cross-protocol calls for debugging

Best Practices

  • Use A2A for delegation to autonomous agents, MCP for accessing deterministic tools
  • Don't wrap simple tool calls as A2A agents — use MCP directly
  • Don't use MCP for complex, multi-turn agent interactions — use A2A
  • Consider the latency implications of cross-protocol bridges
  • Test the bridge with realistic payloads and error scenarios
  • Document the agent topology so developers understand the flow

Fetch the latest A2A specification and MCP specification for current schemas and integration guidance before implementing bridges.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.