Provides tools for explaining programming topics and searching for learning resources on Hyperskill, allowing AI agents to identify key concepts in code and provide relevant educational materials with links to Hyperskill topics.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP-Hyperskillexplain recursion in Python using Hyperskill resources"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP-Hyperskill
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
Related MCP server: Vibe Coder MCP
Installation
# Install dependencies using UV with pyproject.toml
uv syncUsage
To run the server:
uv run main.pyThis 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 --debugMCP 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 explanationprogramming_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 forprogramming_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
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.