mcp

A FastMCP integration with Hyperskill that allows AI agents to explain programming topics using Hyperskill's learning resources.

Features

• Get explanations of code concepts with links to Hyperskill topics
• Search for programming topics on Hyperskill

Installation

# Install dependencies using UV with pyproject.toml
uv sync

Usage

To run the server:

uv run main.py

This will start a server on http://0.0.0.0:8080 that AI agents can connect to.

Command-line Arguments

The server supports the following command-line arguments:

uv run main.py [--host HOST] [--port PORT] [--debug]

• --host HOST: Host to bind the server to (default: 0.0.0.0)
• --port PORT: Port to bind the server to (default: 8080)
• --debug: Run in debug mode

Example:

uv run main.py --host 127.0.0.1 --port 9000 --debug

MCP Tools

explain_topics_in_the_code

Explains programming topics present in code by finding relevant Hyperskill resources.

Parameters: - topics: List of key topics or concepts that need explanation - programming_language: Programming language of the given code

find_topics_on_hyperskill

Searches Hyperskill for specific programming topics.

Parameters: - topics: List of topic keywords to search for - programming_language: Programming language to filter topics by

Example Usage

When interacting with an AI agent that has access to MCP-Hyperskill, you can ask:

Explain topics in the code using Hyperskill:


def fibonacci(n):
    if n <= 1:
        return n
    else:
        return fibonacci(n-1) + fibonacci(n-2)

result = fibonacci(10)
print(result)

The AI agent will identify key concepts like "recursion", "functions", and "fibonacci sequence" and provide Hyperskill links for learning more about these topics.

The response will include: - Topic titles - Links to Hyperskill learning resources - Topic hierarchies showing where these concepts fit in the curriculum

Example of AI explaining code topics with Hyperskill resources in Cursor