A2A Project
Explore MCP and A2A protocols with hands-on client/server implementations, UI integration, cloud deployment, and multi-agent collaboration.
What is A2A Project?
A2A Project is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to explore mcp and a2a protocols with hands-on client/server implementations, ui integration, cloud deployment, and multi-agent collaboration.
Explore MCP and A2A protocols with hands-on client/server implementations, UI integration, cloud deployment, and multi-agent collaboration.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Explore MCP and A2A protocols with hands-on client/server im
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx a2a-projectConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about A2A Project
What is A2A Project?
A2A Project is a Model Context Protocol (MCP) server that explore mcp and a2a protocols with hands-on client/server implementations, ui integration, cloud deployment, and multi-agent collaboration. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install A2A Project?
Follow the installation instructions on the A2A Project GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with A2A Project?
A2A Project works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is A2A Project free to use?
Yes, A2A Project is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up A2A Project in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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