The opportunity
A customer may prefer ChatGPT for general work, Claude for analysis, Microsoft Copilot inside Microsoft 365, or Gemini inside Google’s products. MCP gives these platforms a common way to understand connected software.
That does not mean one click publishes everywhere. The underlying connection can be shared, while sign-in, review, listing, plan availability, and interface details differ by platform.
ChatGPT
A broad customer-facing assistant where integrations may appear as apps or connectors.
Claude
Supports remote connectors across several Claude experiences.
Microsoft Copilot
A strong fit when customers work in Microsoft 365 or Copilot Studio.
Google Gemini
Relevant across selected Gemini developer and enterprise products.
GitHub Copilot
Useful when your product serves software teams and developer workflows.
Other MCP hosts
New products can adopt the same standard without a bespoke API integration from scratch.
Choose targets, not logos
The right question is not “Does this company support MCP?” It is “Can our customers use this connection in the exact AI product, account type, and region they have?” Strata verifies those details before promising a launch.
We usually recommend starting with one or two high-value assistants, learning from real use, then expanding. The core product jobs and permission model can remain consistent while each distribution path is adapted.
What customers may see
One platform may call your connection an app, another a connector, and another an MCP server. These are mostly packaging differences. The business promise should stay simple: connect your account, ask the assistant to use your product, and stay in control of important actions.
A pragmatic launch
Build the shared core, then prove each customer experience.
Strata handles the connection and the platform-specific testing, so your team does not need to become an expert in every assistant.
Plan your target assistants →