# Courses MCP Server

> Courses MCP Server — dzendys-courses-mcp. Use this tool when you need to interact with educational course materials, such as listing subjects or searching for specific content. It enables large language models (LLMs) to navigate and retrieve information from FIT CTU courses, providing outputs in Markdown format. Ideal for use cases requiring access to structured educational content, such as research or study assistance.

Canonical page: https://skillsregistry.net/skills/dzendys-courses-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dzendys-courses-mcp

## Description

Enables LLMs to interact with FIT CTU course materials, including listing subjects, navigating subpages, reading content as Markdown, and performing keyword searches.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lspt819fe2)
- **Repository:** <https://github.com/Dzendys/courses-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dzendys-courses-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dzendys-courses-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dzendys-courses-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt