Tools, MCP Servers and External Integrations

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GitHub

Tools, MCP Servers and External Integrations

GitHub

Instructor: GitHub

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Construct custom tools with typed schemas that agents autonomously discover and invoke.

  • Configure MCP servers to give agents access to external data and services.

  • Implement least-privilege permission controls for agent tool invocations.

  • Build error-handling patterns that maintain agent workflow continuity.

Details to know

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Assessments

11 assignments¹

AI Graded see disclaimer
Taught in English

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Build your Software Development expertise

This course is part of the Building Agentic AI Apps with GitHub Copilot SDK Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from GitHub

There are 5 modules in this course

Define and register custom tools that Copilot agents can autonomously discover and invoke during task execution. You'll learn to create tools with typed parameter schemas and return types, register them within sessions, and verify that agents correctly select and invoke your tools based on task requirements.

What's included

5 readings2 assignments

Configure Model Context Protocol (MCP) servers to give your agents access to external data sources and services. MCP is the SDK's primary extensibility mechanism for connecting agents to the outside world, databases, APIs, file systems, and third-party services. You'll learn to set up local and remote MCP servers and integrate them into Copilot sessions.

What's included

5 readings2 assignments

Implement permission controls that enforce least-privilege access for agent tool invocations. You'll learn to design approval workflows for sensitive operations, classify tools by risk level, and build permission handlers that give humans oversight of high-stakes agent actions. A critical production safety requirement for agentic systems

What's included

4 readings3 assignments

Implement robust error handling for tool invocations that keeps agent workflows running when tools fail. You'll learn to design retry strategies, implement fallback tools, and build graceful degradation patterns that allow agents to continue producing useful results even when their tools encounter errors.

What's included

5 readings3 assignments

Build a tool-integrated agent that combines custom tools, Model Context Protocol (MCP) server connectivity, permission controls, and error handling into a functioning data research assistant. This project integrates skills into a portfolio-ready deliverable that demonstrates production-grade tool management.

What's included

3 readings1 assignment

Earn a career certificate

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Instructor

GitHub
GitHub
6 Courses5 learners

Offered by

GitHub

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.