Exposing your product as an MCP server, a product decision
Lesson 1 of the module "Expose your product as an MCP server" in the course "Connect AI to your tools and data with MCP".
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.
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 the course
This lesson is part of the course Connect AI to your tools and data with MCP
- Explain what MCP standardizes (host, client, server; tools, resources, prompts; transports; authorization) and what each element implies for a product.
- Choose between an MCP server, a direct API integration, an in-house tool and a skill for a given need, and justify the choice.
- Find, evaluate and connect an existing MCP server in a free client, with limited rights, and verify what it actually exposes.
- Identify the risks specific to MCP (tool poisoning, rug pulls, injection through results, over-broad permissions, confused deputy, supply chain) and specify the matching guardrails.
- Decide whether to expose your product as an MCP server and, if so, specify its scope (users, tools, rights, authentication, measurement).
Related courses
- Build an AI assistant for your productAdvanced · ~3 hr
- Design a RAG architecture that fits your productAdvanced · ~3 hr 30 min
- Evaluate an AI feature: test sets, metrics and LLM judgesAdvanced · ~3 hr