Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Storefront is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
US college admissions fit (College Scorecard bands) + verified admitted-student mentor search.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http goanywhere-storefront-mcp https://goanywhere.guru/api/mcp
# 2 — ask your agent for something these tools do
# assess_admissions_fit, list_supported_universities, search_mentors and 2 more
Storefront costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http goanywhere-storefront-mcp https://goanywhere.guru/api/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
5 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sat | number | no | SAT 총점 |
| act | number | no | ACT 총점 |
| target_universities | array | yes | 목표 대학 이름 목록 (영문/한글/약칭 허용, 예: MIT, Harvard) |
적합도 진단이 지원되는 대학을 페이지 단위로 반환합니다. 합격률·SAT/ACT 밴드는 확인된 데이터가 있는 대학에만 포함되며, 없는 값은 null로 명시됩니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| country | string | no | 국가 코드 (예: US) |
| with_test_bands_only | boolean | no | true면 SAT 또는 ACT 밴드가 있는 대학만 반환 |
| limit | integer | no | 페이지 크기 (기본 25, 최대 50) |
| offset | integer | no | 페이지 시작 위치 (기본 0) |
GoAnywhere의 승인된 합격생 멘토를 검색합니다. 실제 등록된 멘토만 반환하며(가상의 멘토 없음), 각 멘토의 학교·전공·합격 이력·평점·프로필 링크를 제공합니다. 조건 그대로 결과가 없으면 약한 조건부터 풀어 다시 찾고 broadened=true 와 푼 조건(relaxed)을 함께 반환합니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | 학교/전공 키워드. 사용자가 쓴 말 그대로 넣으면 됩니다 — 한국어 전공어는 서버가 영문 전공명으로 확장해 검색합니다. |
| region | string | no | 입학 지역 (예: USA, UK) |
| major_field | string | no | 전공 계열 — 반드시 이 5개 중 하나: STEM | Humanities / Social Sciences | Business / Economics | Art / Design | Undecided. 더 좁은 전공은 query 로 검색하세요. |
| position | string | no | 포지션: consultant(입시 컨설턴트) | tutor(과외) |
| subject | string | no | 담당 과목 (과외) |
| limit | number | no | — |
특정 멘토의 세션 옵션(15/30/60분)과 가격, 예약 딥링크를 반환합니다. 예약·결제는 goanywhere.guru 사이트에서 진행됩니다 (이 도구는 링크 안내까지만).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| mentor_id | string | yes | search_mentors 가 반환한 mentor_id |
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: yocan@goanywhere.guru. 자세한 내용: https://goanywhere.guru/privacy 저장 후 온보딩 링크를 안내합니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| string | yes | 사용자 이메일 (본인 동의 필수). 형식 오류 시 안내 메시지로 재질문됩니다. | |
| interest | string | no | 사용자가 직접 입력한 관심사 (선택, 최대 500자) |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Storefront or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.1.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Storefront can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.