mcpbeat

Storefront MCP Server

guru.goanywhere/storefront
not responding

Storefront is listed as active in the registry but did not answer our last check. It exposes 5 tools.

US college admissions fit (College Scorecard bands) + verified admitted-student mentor search.

Uptime history 39 hours of history · worst hour 0%
39 hours agonow
12.0%
Uptime 24h
11 of 92 checks
5
Tools
read from the server
863 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add storefront --transport http https://goanywhere.guru/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "storefront": {
      "url": "https://goanywhere.guru/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.storefront]
url = "https://goanywhere.guru/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "storefront": {
      "url": "https://goanywhere.guru/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "storefront": {
      "url": "https://goanywhere.guru/api/mcp"
    }
  }
}

Available tools 5

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

assess
assess_admissions_fit
학생의 시험 점수(SAT/ACT)와 목표 대학 목록을 받아, 확인 가능한 College Scorecard 실데이터 기반으로 학교별 REACH/MATCH/SAFETY 적합도를 분류합니다. 합격 확률 예측이 아닌 밴드 분류이며, 데이터가 있는 경우 점수 밴드·합격률 근거를 함께 반환합니다.
booking
get_booking_options
특정 멘토의 세션 옵션(15/30/60분)과 가격, 예약 딥링크를 반환합니다. 예약·결제는 goanywhere.guru 사이트에서 진행됩니다 (이 도구는 링크 안내까지만).
capture
capture_lead
상담을 이어가고 싶은 사용자의 이메일과 선택 입력한 관심사를 저장합니다. 사용자가 명시적으로 연락받기를 원할 때만 호출하세요. **호출 전 반드시 개인정보 수집 고지를 사용자에게 전달하고 동의를 받으세요** — 개인정보 수집·이용 안내 — 목적: 입시 상담 연락. 수집 항목: 이메일 및 사용자가 직접 입력한 관심사(선택). 보관 기간: 목적 달성 또는 삭제 요청 시까지. 귀하는 동의를 거부할 권리가 있으며, 미동의 시 연락 안내가 제한될 수 있습니다. 삭제 요청·문의: [email protected]. 자세한 내용: https://goanywhere.guru/privacy 저장 후 온보딩 링크를 안내합니다.
mentors
search_mentors
GoAnywhere의 승인된 합격생 멘토를 검색합니다. 실제 등록된 멘토만 반환하며(가상의 멘토 없음), 각 멘토의 학교·전공·합격 이력·평점·프로필 링크를 제공합니다.
supported
list_supported_universities
적합도 진단이 지원되는 대학을 페이지 단위로 반환합니다. 합격률·SAT/ACT 밴드는 확인된 데이터가 있는 대학에만 포함되며, 없는 값은 null로 명시됩니다.

Endpoints

URLTransportStateLatencyChecked
https://goanywhere.guru/api/mcp streamable-http answering 104 ms 0 min ago

Storefront — questions

Answers built from our own checks of this server.

What can Storefront do?
It exposes 5 tools, read directly from the server on our last check. Among them: assess_admissions_fit, capture_lead, get_booking_options, list_supported_universities, search_mentors. 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 Storefront working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 11 of 92 checks got a reply (12.0%), average response time 863 ms. The bar chart above shows every period we have measured.
The registry lists Storefront as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Storefront?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Storefront need an API key?
No. Storefront completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Storefront?
It answers our handshake in 863 ms on average, which is faster than 8% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.