Provides AI agents with fast Model Context Protocol integration to explain programming concepts and search topics using Hyperskill's comprehensive learning resources.
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A FastMCP integration with Hyperskill that allows AI agents to explain programming topics using Hyperskill's learning resources.
# Install dependencies using UV with pyproject.toml uv sync
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.
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 modeExample:
uv run main.py --host 127.0.0.1 --port 9000 --debug
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 codeSearches Hyperskill for specific programming topics.
Parameters:
topics
: List of topic keywords to search forprogramming_language
: Programming language to filter topics byWhen 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
Example of AI explaining code topics with Hyperskill resources in Cursor
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