Assemble your MCP decision and your connected server
Lesson 1 of the module "Your MCP decision" 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 assemble the MCP decision for your product (mechanisms chosen, server evaluated and connected with its evidence, risk table, exposure decision), self-assess it with the kit's checklist and plan its application over 7 and 30 days.
Where it fits
Your MCP decision
What is your "use / expose" decision, and does your connected server hold up in review?
Lessons in this module
- Assemble your MCP decision and your connected server (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