INDIVIDUAL MCP TOOL
get_check_question
Get one multiple-choice question with the answer index and an explanation, to check whether a learner understood a concept.
LIVE ENDPOINT
https://seegongsik.com/api/mcp/mcp
Connect to this endpoint to inspect the live schema for get_check_question and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.seegongsik]
url = "https://seegongsik.com/api/mcp/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"seegongsik": {
"type": "http",
"url": "https://seegongsik.com/api/mcp/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: seegongsik
Remote MCP URL: https://seegongsik.com/api/mcp/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"seegongsik": {
"url": "https://seegongsik.com/api/mcp/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"seegongsik": {
"type": "http",
"url": "https://seegongsik.com/api/mcp/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "seegongsik",
"transport": "streamable-http",
"url": "https://seegongsik.com/api/mcp/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
search_concepts— Search seegongsik for interactive STEM/CS lessons and simulations.get_widget— Get a seegongsik interactive widget by id (the segment of an embed URL, e.g.get_learning_path— Get the ordered prerequisite chain a learner must cover to reach a concept, in curriculum order (not just topological order).explain_concept— Get teaching material for a concept: plain-language intuition, known misconceptions, a worked example, a check question, and what to manipulate in the interactive page.get_misconceptions— Get the specific mistakes learners actually make on a concept, with why each is wrong, the correction, and the source page/field it came from.verify_fact— Look a factual claim up against the curated corpus.