Analytics
college-roi.net
Provides tools for looking up U.S. schools and majors, and computing return on investment (ROI) for educational choices.
ENDPOINT 1
https://college-roi.net/mcp
Known tools 4
lookup_majorResolve a major label or MILO majorId (snake_case) to canonical major records.
Inferred read-onlycompute_roiCompute break-even years, lifetime cost, modeled 20-year earnings, and WEF AI outlook for one school × major.
Inferred read-onlycompare_schoolsSide-by-side ROI for up to 5 schools with the same major and financial inputs.
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.college-roi-net]
url = "https://college-roi.net/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"college-roi-net": {
"type": "http",
"url": "https://college-roi.net/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: college-roi-net
Remote MCP URL: https://college-roi.net/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": {
"college-roi-net": {
"url": "https://college-roi.net/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"college-roi-net": {
"type": "http",
"url": "https://college-roi.net/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "college-roi-net",
"transport": "streamable-http",
"url": "https://college-roi.net/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 college-roi.net was fetched 2026-07-31T11:54:20.166Z and is being refreshed.
college-roi.net 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.