Understand the architecture
Explain how MCP moves tool definition and execution into dedicated servers, and how messages pass between parts.






























Introduction to Model Context Protocol is a one-hour Academy course on building MCP servers and clients in Python. A document management project teaches you to define tools, test them in the browser inspector and expose read-only resources. It expects basic Python, async/await and API familiarity and an Anthropic API key; a final quiz leads to the badge.
Explain how MCP moves tool definition and execution into dedicated servers, and how messages pass between parts.
Define tools with Python decorators instead of hand-written schemas, and test them in the inspector.
Implement a client that follows a request from the user through MCP to an outside service and back.
Choose among tools, resources and prompts based on who controls each one.
We design this course ourselves. Anthropic issues the credential, and LUNARTECH is independent of Anthropic.
Tool code written inside every application does not scale. You see how MCP moves tool definition and execution into dedicated servers, what a client does, and how messages pass between the parts.
You build A diagram of a request moving through client, server and an outside service.
Using Python, you define tools on a server for a document management project. Decorators generate the schemas, so you write functions instead of hand-built JSON.
You build An MCP server with read and edit tools for a small document store.
Before any client exists, you can test a server in the browser. You connect the inspector, call your tools by hand, and fix what the results show.
You build A tested server with a short log of calls made in the inspector.
A client follows a request from the user through MCP to an outside service and back. You implement one, connect it to your server, and wire it into a small chat application.
You build A client that lets a chat app use your document server’s tools.
Tools are only one of three building blocks. You add read-only resources, including fixed and parameterized addresses, and reusable prompts, then learn to choose among them based on who controls each one.
You build A server that exposes a tool, a resource and a prompt, with a note on why each is the right type.

Certifying body · Independent of LUNARTECH
Four role-based certifications for people building on Claude, and free Academy courses with badges. The four certifications are open to members of the Claude Partner Network, not the general public. Membership is free for firms. Exams are proctored and delivered by Pearson, and the credential is issued through Credly. Academy courses are free, and a badge comes from passing the course’s quizzes.
Basic Python, familiarity with async/await, a general understanding of APIs, and an Anthropic API key for the chat app used in later lessons.
Five modules, designed by LUNARTECH, at your own pace.
Anthropic issues the credential, so you earn it directly with them.
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No single job owns it. Here’s where each role leans hardest, and where its work ends up.
Each tool you expose is one more thing Claude can do. MCP gives them a common shape.
Servers, Clients
Product engineering, Internal tooling
Your service can speak to Claude without glue code. An MCP server is the front door.
Introduction, Servers
Product engineering, Data platforms
Standard protocols keep integrations maintainable. MCP is how Claude reaches tools and data.
Introduction, Assessment
Consulting, Internal tooling
A service you own can expose its logic as tools. A decorator turns a function into one.
Servers
Product engineering, Internal tooling
One MCP server serves every client that speaks it. That replaces a pile of one-off connectors.
Servers, Clients
Internal tooling, Data platforms
Read-only resources expose data without handing over control. Tools and resources serve different needs.
Servers
Data platforms
An inspector lets you test a server before any client uses it. Debug it there, not in production.
Servers, Clients
Internal tooling, Data platforms
Each tool you expose is one more thing Claude can do. MCP gives them a common shape.
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Updated November 2026.
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No. We design this course ourselves, around what the credential covers. Anthropic has no part in it, and you still earn the credential directly with Anthropic.
60 minutes, online course. The passing score is Pass the final quiz.
Basic Python, familiarity with async/await, a general understanding of APIs, and an Anthropic API key for the chat app used in later lessons.
Does not expire. Completion badges do not expire. You can retake a course after a major update.
We last reviewed it on 5 November 2026, from Anthropic’s own pages. Details change, so check the official page before you book.
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Learn to connect Claude to tools and data with MCP. Start with a free trial, or enroll in a plan and work through the course at your own pace. Anthropic issues the credential.
LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.