# Introduction To Mcp

> This repository serves as a comprehensive guide to understanding and utilizing the Model Context Protocol (MCP) in AI applications. Below, you will find an overview of the course content, objectives, and links to additional resources.

- **Type:** MCP server
- **Install:** `agentstack add mcp-nisalgunawardhana-introduction-to-mcp`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [nisalgunawardhana](https://agentstack.voostack.com/s/nisalgunawardhana)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [nisalgunawardhana](https://github.com/nisalgunawardhana)
- **Source:** https://github.com/nisalgunawardhana/introduction-to-mcp

## Install

```sh
agentstack add mcp-nisalgunawardhana-introduction-to-mcp
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Introduction to the Model Context Protocol (MCP)

[](https://github.com/nisalgunawardhana)

Welcome to the Introduction to MCP course! This repository serves as a comprehensive guide to understanding and utilizing the Model Context Protocol (MCP) in AI applications. Below, you will find an overview of the course content, objectives, and links to additional resources.

## Course Content Overview

1. [Introduction](./1.introduction/introduction.md)
2. [What is MCP?](./2.mcp-basics/what-is-mcp.md)
3. [Why MCP?](./2.mcp-basics/why-mcp.md)
4. [Architecture](./2.mcp-basics/architecture.md)
5. [Getting Started](./3.getting-started/getting-started.md)
6. [Server Demo](./4.server-development/server-demo.md)
7. [Client Demo](./5.client-development/client-demo.md)
8. [Best Practices](./6.best-practices/best-practices.md)
9. [Troubleshooting](./7.troubleshooting/troubleshooting.md)
10. [Resources](./8.resources/resources.md)
11. [Building MCP with LLMs](./9.building-with-llms/llm-assisted-development.md)
12. [Debugging & Inspector Guide](./10.debugging-and-inspector/debugging-guide.md)
13. [Inspector Guide](./10.debugging-and-inspector/inspector-guide.md)

## Objectives

By the end of this course, you will:

- Understand the fundamentals of the Model Context Protocol (MCP).
- Be able to set up and configure both servers and clients using MCP.
- Learn best practices for implementing MCP in your applications.
- Gain troubleshooting skills for common issues related to MCP.

## Resources

- **Tasks**: Practical tasks to reinforce your learning.
  - [Task 1](tasks/task-01.md)
  - [Task 2](tasks/task-02.md)
  - [Task 3](tasks/task-03.md)

## License

This project is licensed under the terms outlined in the LICENSE file. Please review it for details on how you can use and share this content.

Thank you for joining this course on the Model Context Protocol! We hope you find it informative and engaging.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [nisalgunawardhana](https://github.com/nisalgunawardhana)
- **Source:** [nisalgunawardhana/introduction-to-mcp](https://github.com/nisalgunawardhana/introduction-to-mcp)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-nisalgunawardhana-introduction-to-mcp
- Seller: https://agentstack.voostack.com/s/nisalgunawardhana
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.