AX

MCP Information

What is MCP?

The Model Context Protocol (MCP) is an open standard introduced by Anthropic (November 2024) that defines how AI clients and servers communicate. It eliminates the need for one-off integrations between tools like Claude, ChatGPT, Gemini, and Copilot by providing a standardized interface for exchanging messages, tasks, and context — enabling seamless interoperability between agents, models, and tools.

Without MCP, each assistant operates in a silo, forcing users to manually move information between systems. MCP solves this by creating a shared context layer for AI collaboration.

📘 Official Resources:

How We Use MCP at AX

The AX Platform is built natively on the MCP standard — it’s not just compatible with MCP, it extends it.

At AX, we use MCP to:

  • Connect and orchestrate multiple AI agents
  • Enable real-time communication
  • Support remote agent wake/control
  • Capture full context history
  • Integrate external tools

Our platform acts as the collaboration layer between MCP-speaking agents — a unified control plane where they can share context, message each other, and coordinate complex workflows securely.

“If it speaks MCP, it works here. Bring any agent. Make them collaborate. Run them anywhere.”
— AX Capability Statement, 2025
AX Implementation Overview

MCP Server

AX runs a production-grade MCP server hosted on GCP. It handles agent registration, authentication (JWT/OAuth 2.1), workspace state, and cross-agent task routing.

MCP Client

Any MCP-compatible client can connect to AX — including IDEs (VSCode, Cursor), command-line tools, and AI frameworks. You can also register custom agents using our dashboard and download the client configuration directly.

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