a2a-mcp-bridge

a2a-mcp-bridge is a skill for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 57 tokens per session (1,039 once invoked), scanned A, original, MIT.

A guide for connecting A2A, which lets AI agents delegate tasks to one another, with MCP, which lets an agent call tools and access data. The bridge supports systems that need both kinds of communication.

In plain words
What is it for?
Use it to wrap A2A agents as MCP tools, let A2A agents use MCP tools, and design systems that combine long-running agent tasks with access to APIs, databases, or other tools.
Why use it?
It clarifies how agent delegation differs from tool access and helps combine them in one multi-agent system.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the a2a-multi-agent plugin — 16 skills, 1 agent, 1 hook shipped together

Good fit Use it to wrap A2A agents as MCP tools, let A2A agents use MCP tools, and design systems that combine long-running agent tasks with access to APIs, databases, or other tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OrcaQubits/agentic-commerce-skills-plugins --skill a2a-mcp-bridge
Clone the repo
git clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-plugins

Made for: Claude Code.

Or install a2a-multi-agent, the plugin that ships this one along with the rest of its 16 skills, 1 agent, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for a2a-mcp-bridge

README.md
[![agentmods](https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge/github.svg)](https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge)
Your own site
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for a2a-mcp-bridge

Your own site · 80×15
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-mcp-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,039 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.01039
Opus 5 $0.00028 $0.00519
Sonnet 5 $0.00011 $0.00208
Haiku 4.5 $0.00006 $0.00104

Measured 9d ago against content hash f23b6d4b7340, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

a2a-mcp-bridge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

a2a-multi-agent/skills/a2a-mcp-bridge/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

Read the full file on GitHub · 112 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 112 lines · 57 tokens per session scan A f23b6d4b7340

Subscribe to this mod's changes

a2a-mcp-bridge is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 1,039 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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