Exposing your product as an MCP server, a product decision
Sooner or later, a customer or an executive will ask whether your product should be reachable by AI assistants through MCP. This lesson helps you answer with a clear decision sheet, from target use cases to launch conditions, and avoid the traps of a server opened too quickly.
Lesson objective
By the end of this lesson, you will be able to decide whether to expose your product as an MCP server and, if so, write its exposure card - target users and hosts, use cases, v1 tools, rights and authentication, security, metrics and launch conditions.
Topics covered
- MCP server
- AI product strategy
- API exposure
- AI assistants
In the glossary
Where it fits
Expose your product as an MCP server
Should you offer an MCP server to your customers, with what scope, and how will you know it was a good idea?
Lessons in this module
- Exposing your product as an MCP server, a product decision (this lesson)
What you will learn in this module
This lesson is part of the course Connect AI to your tools and data with MCP
- Decide whether to expose your product as an MCP server and, if so, specify its scope (users, tools, rights, authentication, measurement).
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