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prefrosh.ai MCP Server

by prefrosh Your server? Claim it
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prefrosh.ai is answering right now. Last checked 9 min ago. It exposes 8 tools.

College admissions: admit rates by round, your odds, compare colleges, and a mock admissions game.

Uptime history 69 hours of history
69 hours agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
411 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check prefrosh.ai every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add prefrosh --transport http https://prefrosh.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
https://prefrosh.ai/mcp
~/.codex/config.toml
[mcp_servers.prefrosh]
url = "https://prefrosh.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "prefrosh": {
      "url": "https://prefrosh.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "prefrosh": {
      "type": "http",
      "url": "https://prefrosh.ai/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

game
game_debrief
App-only. The chair writes the debrief.
game_done
App-only. Records that a run finished (counts only).
game_read
App-only. One reader of the admissions game reads the file.
game_vote
App-only. The committee meets and votes.
admissions
admissions_game
Run the student's application past prefrosh.ai's simulated admissions committee for one college and round: five fictional readers (first, second, essay and faculty readers, and a dean who chairs) read it, argue, vote (accept / waitlist or defer / deny), and give the top 3 fixes. It is a simulation, not a prediction. Takes about a minute; the room plays out in the view. Pass the student's own application text exactly as they gave it (essays, activities, grades, scores) in "application"; never write, invent or improve content for them. If they have not shared their application, ask them to paste it first.
compare
compare
Compare 2 to 4 colleges side by side: admit rates by round, SAT/ACT ranges, testing policy, sticker cost, average net price, graduation rate, size and setting. If GPA or scores are given, adds the student's estimated odds (same model as prefrosh.ai/chance).
odds
my_odds
Estimate a student's admission odds at one or more colleges, by round, with a likely range, from GPA and test scores (plus optional class rank, home state, legacy, first-generation, aid). Same model as prefrosh.ai/chance. Always tell the user this is an estimate from grades and scores only; essays, activities and recommendations can move it a lot. Needs at least a GPA or a test score; ask for them if missing rather than guessing.
school
school_card
Show one college as a card: photo or campus map, overall admit rate and admit rate by round (Early Decision, Early Action, Regular Decision) with deadlines, SAT/ACT middle 50%, testing policy, sticker cost, average net price, graduation rate, biggest majors, and a link to its prefrosh.ai page. Use for "tell me about X", "how hard is it to get into X", "what are X's deadlines". Data is from the school's Common Data Set and federal data; cite the prefrosh.ai URL in the result.

Endpoints

URLTransportStateLatencyChecked
https://prefrosh.ai/mcp streamable-http answering 462 ms 9 min ago

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prefrosh.ai — questions

Answers built from our own checks of this server.

What can prefrosh.ai do?
It exposes 8 tools, read directly from the server on our last check. Among them: admissions_game, compare, game_debrief, game_done, game_read, game_vote and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is prefrosh.ai working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 411 ms. The bar chart above shows every period we have measured.
How do I connect prefrosh.ai?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does prefrosh.ai need an API key?
No. prefrosh.ai completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is prefrosh.ai?
It answers our handshake in 411 ms on average, which is faster than 34% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.