How does the skill handle security between different protocols?

The skill provides guidance on authentication boundaries, recommending separate credentials for A2A and MCP to ensure that communication and tool access remain securely isolated.

Does this skill support multiple programming languages?

Yes, it provides integration patterns, installation scripts, and code templates for Python, TypeScript, and Java.

What architectural patterns are included in this skill?

It includes templates for Coordinator-Worker systems, Peer-to-Peer tool sharing, Agent Mesh with centralized tools, and Layered Protocol Stacks.

What is the benefit of combining A2A and MCP protocols?

MCP standardizes how agents connect to tools and data sources, while A2A standardizes how agents coordinate and delegate tasks to each other. Combining them allows for collaborative agent networks with shared tool access.

A2A & MCP Integration Patterns

Name: A2A & MCP Integration Patterns
Author: vanman2024

byvanman2024

Desarrollo de API

Provides standardized patterns and configuration for combining Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) in multi-agent systems.

Acerca de

The a2a-mcp-integration skill offers a robust framework for building hybrid agent architectures where Model Context Protocol (MCP) handles tool and resource access while the Agent-to-Agent (A2A) Protocol facilitates delegation and coordination. It provides developers with ready-to-use Python and TypeScript integration scripts, authentication templates, and architectural patterns like Coordinator-Worker and Peer-to-Peer tool sharing. This skill is essential for engineers scaling complex AI systems that require agents to not only interact with external data but also collaborate seamlessly with one another to complete multi-step workflows.

Características Principales

Comprehensive environment and authentication configuration templates
Ready-to-use integration scripts for Python, TypeScript, and Java SDKs
Detailed error handling and failover strategies for resilient communication
Standardized architectural patterns for hierarchical and peer-to-peer agent systems
0 GitHub stars
Built-in validation scripts for protocol compatibility and connection testing

Casos de Uso

Implementing a microservice-style agent architecture with decentralized tool access and shared discovery
Building a multi-agent data pipeline where specialized agents coordinate via A2A and process data via MCP tools
Developing a distributed research assistant that combines web search and document analysis across multiple agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vanman2024/ai-dev-marketplace a2a-mcp-integration

For use in Claude.ai and ChatGPT

Download Skill

GitHub

Acerca de

Características Principales

Comprehensive environment and authentication configuration templates
Ready-to-use integration scripts for Python, TypeScript, and Java SDKs
Detailed error handling and failover strategies for resilient communication
Standardized architectural patterns for hierarchical and peer-to-peer agent systems
0 GitHub stars
Built-in validation scripts for protocol compatibility and connection testing

Casos de Uso

Implementing a microservice-style agent architecture with decentralized tool access and shared discovery
Building a multi-agent data pipeline where specialized agents coordinate via A2A and process data via MCP tools
Developing a distributed research assistant that combines web search and document analysis across multiple agents