Learning Resources
mathchallenge.app
Provides information and guides for mental math challenges.
ENDPOINT 1
https://mathchallenge.app/mcp
MCP server metadata
- Name
- mathchallenge-content
- Version
- 1.0.0
Read-only content server for mathchallenge.app. about_math_challenge returns the site summary; get_learn_guide returns a written guide as text.
Known tools 2
about_math_challengeOverview of Math Challenge (mathchallenge.app): what the game is, what is free, pricing, and an index of every content page.
Inferred read-onlyCONNECT 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.mathchallenge-content]
url = "https://mathchallenge.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"mathchallenge-content": {
"type": "http",
"url": "https://mathchallenge.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: mathchallenge-content
Remote MCP URL: https://mathchallenge.app/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": {
"mathchallenge-content": {
"url": "https://mathchallenge.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"mathchallenge-content": {
"type": "http",
"url": "https://mathchallenge.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "mathchallenge-content",
"transport": "streamable-http",
"url": "https://mathchallenge.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for mathchallenge.app was fetched 2026-08-24T02:52:59.879Z.
mathchallenge.app is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.