Model Context Protocol (MCP) server for freee API integration
Bedcount: student housing data by campus 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
IPEDS enrollment, college housing beds and bed gap at 693 US campuses, plus a loan sizer.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http bedcount-student-housing-data-by-campus-mcp https://studenthousing.loans/mcp
# 2 — ask your agent for something these tools do
# get_campus, search_campuses, size_loan
Bedcount: student housing data by campus 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 bedcount-student-housing-data-by-campus-mcp https://studenthousing.loans/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.
3 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.
One US four-year campus (3,000+ full-time students) from federal IPEDS data: fall 2024 enrollment (total, full-time, undergraduate, graduate, online share, change from 2023), college-controlled housing beds for 2024-25, beds per 100 full-time students, the bed gap, typical housing and food charges, aid-office housing budgets, and whether it meets Fannie Mae's 10,000-student campus-size test. Find
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | no | Campus name or distinctive words from it, e.g. "University of Florida" or "texas austin". |
| state | string | no | Two-letter state code to narrow a name match, e.g. TX. |
| unitid | string | no | Six-digit IPEDS UNITID, e.g. 228778. Overrides name. |
Lists US four-year campuses (3,000+ full-time students) filtered by state, city, name words, sector, whether the college offers housing, Fannie Mae campus-size test, or minimum full-time enrollment, ranked by bed gap, enrollment, college beds, beds per 100 students or housing charge. Each row gives fall 2024 enrollment, 2024-25 college-controlled beds, bed gap, housing charge and the campus page l
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | Two-letter state code, e.g. TX. |
| city | string | no | City name, e.g. "Austin". |
| name | string | no | Words from the campus name, e.g. "state university". |
| sector | string | no | Control of the institution. |
| offers_housing | boolean | no | true = only colleges that provide housing; false = only those that provide none. |
| fannie_campus_size_test | boolean | no | true = only campuses with 10,000+ students, majority full-time (Fannie Mae Dedicated Student Housing campus-size test). |
| min_fulltime | integer | no | Minimum full-time students, fall 2024. |
| sort | string | no | Ranking field. |
| order | string | no | desc = largest first. |
| limit | integer | no | Rows to return (max 25). |
| offset | integer | no | Rows to skip, for paging. |
The studenthousing.loans by-the-bed loan sizer: from beds, rent per bed, months collected, vacancy, expenses, reserves, value and your own interest rate, returns net operating income and the loan allowed by max LTV, min DSCR and an optional debt yield, the maximum loan (the smallest), which test binds, annual debt service and loan per bed. Presets are Freddie Mac's published student housing LTV/DS
| Parameter | Type | Required | Notes |
|---|---|---|---|
| beds | integer | yes | Number of beds. |
| rent_per_bed_month | number | yes | Rent per bed per month, dollars. |
| months_collected | number | no | Months of rent collected a year: 12 on 12-month leases, less if summer is empty. |
| other_income_per_bed_month | number | no | Other income per bed per month (parking, fees, utility bill-backs), dollars. |
| vacancy_pct | number | no | Vacancy, concessions and bad debt, percent of rent. Default 5, Fannie Mae's by-the-bed floor with a T-12 (10 without one). |
| opex_per_bed_year | number | yes | Operating expenses per bed per year (taxes, insurance, payroll, utilities, turnover), dollars. |
| reserves_per_bed_year | number | no | Replacement reserves per bed per year, dollars. Default 150, Freddie Mac's stated minimum per bed. |
| value | number | yes | Property value or purchase price, dollars. |
| interest_rate_pct | number | yes | Your own quoted interest rate, percent, e.g. 6.25. |
| amortization_years | integer | no | Amortization in years, 0 = interest only. Default 30 (0 with the full-IO preset). |
| preset | string | no | Freddie Mac student housing tier: freddie_5_7yr = 75% LTV / 1.30x; freddie_over_7yr = 80% / 1.30x; freddie_full_io_5_7yr = 65% / 1.30x, interest only. |
| max_ltv_pct | number | no | Max loan-to-value, percent. Overrides the preset. |
| min_dscr | number | no | Minimum debt service coverage, e.g. 1.25. Overrides the preset. |
| min_debt_yield_pct | number | no | Minimum debt yield, percent. Omit or 0 to skip the test. |
- 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 Bedcount: student housing data by campus 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.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| get_campus | no tags | |
| search_campuses | no tags | |
| size_loan | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
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 1.2026.1101.1.
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 Bedcount: student housing data by campus 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.