Hemnet MCP vs Housing Intel
A side-by-side look at the Hemnet MCP and Housing Intel MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Hemnet MCP for real estate work as a local process; choose Housing Intel for real estate as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Hemnet MCP when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
hemnet_autocomplete_location, hemnet_search_listings, hemnet_get_listing.
Choose Housing Intel when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- You want tools like
case_shiller_metro_compare, housing_market_snapshot, housing_property_report.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Real Estate | Real Estate |
| Quality signal | 64/100 · Good | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 1 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 11 | 10 |
| Full listing | View Hemnet MCP | View Housing Intel |
Tools & capabilities
Hemnet MCP tools 11
hemnet_autocomplete_locationLook up Hemnet location ids for a free-text place name (municipality, district, or area). Returns ranked hits with `location_id`, `full_name`, and `parent_full_name`. Feed a `location_id` into hemnet_search_listings / hemnet_search_sold. Read-only.hemnet_search_listingsSearch active for-sale property listings on hemnet.se by location and optional filters (price band in SEK, rooms, living area in m², property-type groups, keywords). Returns listing summaries with price, fee, m², rooms, price-per-m², and coordinates. Provide `location_ids` (from hemnet_autocomplete_location) or a free-text `location`. Read-only.hemnet_get_listingFetch the full detail of a single active for-sale listing by its Hemnet id or a /bostad/ URL. Returns price, monthly fee, yearly running costs, living/land area in m², rooms, tenure, construction year, energy class, broker, description, status labels, coordinates, and gallery photo URLs. For a SOLD listing use hemnet_get_sold_listing instead. Read-only.hemnet_get_listing_photosReturn the gallery photo URLs for an active for-sale Hemnet listing by id or /bostad/ URL. Read-only.hemnet_search_soldSearch SOLD property listings ("slutpriser") on hemnet.se by location and optional filters. Each result carries the achieved final price, the asking price, and the over/under-asking percentage — the core comps signal for valuation. Provide `location_ids` (from hemnet_autocomplete_location) or a free-text `location`. Read-only.hemnet_get_sold_listingFetch the full detail of a single SOLD listing by its Hemnet id or a /salda/ URL. Returns final price, asking price, price change, m², rooms, tenure, broker, and coordinates. Read-only.hemnet_compare_listingsFetch and normalise multiple active for-sale Hemnet listings at once (by id or /bostad/ URL) for side-by-side comparison. Up to 20 targets; input order preserved; per-row errors captured. Read-only.hemnet_get_by_addressResolve a free-text Swedish street address to a live Hemnet for-sale listing. Give the `address` (street + number) and a `location` (city/area/municipality). Returns the matched listing with a `matched: true`, the match `score`, and `matched_via`, or `{ resolved: false }` when nothing matches. Scans up to 500 listings in the location; a miss with `truncated: true` is not definitive — pass price_min/price_max or a smaller location to narrow it. Read-only.hemnet_get_market_statsAggregate median/average statistics from recent SOLD listings for a location (and optional property-type/size filters): median & average final price, median & average price-per-m², and average over/under-asking percentage. The stats cover the most recent `max_sales` sales (default 200, max 500), not necessarily every match — compare `sampled_sales` with `total_matching_sales`. Provide `location_ids` or a free-text `location`. Read-only.hemnet_calculate_mortgageLocal-only Swedish mortgage calculator (all amounts SEK). Returns the monthly cost broken into interest, mandated amortisation (amorteringskrav from LTV, rules as of 1 April 2026), BRF fee (avgift), and operating cost — with both gross and after-tax (ränteavdrag) totals. Provide `down_payment` OR `down_payment_percent` (defaults to the legal 10% minimum). No network call.hemnet_healthcheckRound-trips a small public www.hemnet.se URL (/graphql) through ContextMint Bridge (your signed-in browser tab) and returns diagnostics: the bridge's role (host/peer/null), port, version, the extension link (linked / pair pending / not attached / never answered), the elapsed round-trip time, and a plain-English hint distinguishing 'bridge never came up' from 'extension not connected' from 'this browser can't serve a capability' from 'real www.hemnet.se-side problem'. Read-only, no auth required. Call this when a real tool fails and you want to know which hop broke.
Housing Intel tools 10
case_shiller_metro_compareCompare Case-Shiller home price indices across multiple US metros in one call (the 20-city composite). For each metro returns latest level, 3-month change, 12-month change, all-time peak, drawdown from peak, and a softening flag. Output also ranks metros softest → strongest. Use for "which metros are softening", "Case-Shiller for [list of cities]", "compare housing prices in X, Y, Z" queries — picks the right per-metro FRED series IDs (DNXRSA, PHXRSA, TPXRSA, etc.) so callers don't have to. Available metros: Atlanta, Boston, Charlotte, Chicago, Cleveland, Dallas, Denver, Detroit, Las Vegas, Los Angeles, Miami, Minneapolis, New York, Phoenix, Portland, San Diego, San Francisco, Seattle, Tampa, Washington DC. NOT A CURRENT-MARKET READ: Case-Shiller is monthly, published on a roughly two-month lag, and each value is a three-month moving average — so the newest observation is typically 90-120 days old and describes a trailing quarter. The `freshness` block states the exact age of the call you made.housing_market_snapshotGet national housing market overview: mortgage rates, housing starts, Case-Shiller index, unemployment, construction employment. Optionally add metro-level prices (e.g., "Denver", "Atlanta"). For comparing Case-Shiller across multiple metros use case_shiller_metro_compare instead. THE COMPONENTS DO NOT SHARE A DATE — they are weekly, monthly and quarterly official statistics, each published on its own lag, so one call can span months of vintages. `freshness` states the span in days and names the oldest component; read it before comparing components against each other.housing_property_reportAnalyze a property by address and zip code. Returns valuation estimate, sales history, tax assessment, and detailed characteristics.housing_rental_analysisEvaluate rental investment potential by address and zip code. Returns estimated rent, fair market rents, and CPI rent trends.housing_affordability_checkCheck housing affordability in a market. Returns mortgage rate, median price, monthly payment, required income, and HUD limits. Optionally specify metro (e.g., "Denver"). The inputs are official statistics on DIFFERENT cadences — a weekly mortgage rate against a quarterly median price — so the monthly payment is an illustrative ratio of published figures, not a live quote. `freshness` states the span and the age of each input.housing_employment_outlookAssess labor market health for housing demand. Returns employment, construction jobs, residential building employment, unemployment rate, and job openings. All BLS monthly releases; each series carries its own `observation_date` and `cadence` (JOLTS runs an extra month behind CES/LAUS), and `freshness` states the span. `snapshot_date` is the call date, not the data date.housing_signal_scanScan 45+ housing indicators for anomalies and reversals. Flags unusual moves across rates, starts, sales, prices, wages, unemployment, and rent. Each signal carries its own `observation_date` and `cadence` — series here span weekly (mortgage rate) to quarterly (median sales price), and Case-Shiller is additionally a 3-month moving average, so "turned negative" does not mean "this month" for every series. `freshness` states the full span and the oldest component.housing_mortgage_historyFreddie Mac Primary Mortgage Market Survey — the weekly US mortgage INTEREST rate (the annual percentage borrowers pay on a home loan, e.g. 6.5%), back to 1971. This is the borrowing cost paid by home buyers. Returns the latest snapshot, a time series for the requested window, and min/max/avg stats. Sourced from Freddie Mac directly (not FRED), ingested weekly by the Pipeworx data pipeline.housing_market_screenRank US metros for rental cash flow in ONE call — the "which markets are best for a landlord" view. Returns metros sorted by gross rent yield = (Zillow median monthly rent × 12) ÷ Zillow typical home value. No per-metro orchestration and no API key. Use for "best/worst rental markets", "highest-yield metros", "where does rent go furthest vs. home prices". Tune with direction (top = highest yield / best cash flow, bottom = lowest), limit, and optional home-value bounds. rent_as_of and home_value_as_of are two independent Zillow queries and can land on different months; `freshness` says whether they matched this call.housing_metro_demandDemand + rent-durability signals for a shortlist of US metros in ONE call — population & 5-year growth, renter share, median household income, and unemployment, straight from Census ACS. Deterministic by metro (CBSA-keyed) — NO FRED series-ID guessing. Pass `metros` ("City, ST", e.g. the top results from housing_market_screen). This is the Stage-2 "is the demand real?" filter on a yield shortlist — high yield in a shrinking metro is a trap. No API key needed. HIGHEST-LAG SOURCE IN THIS PACK: figures are a Census ACS 5-YEAR rolling average (currently 2018-2022, released Dec 2023) — for structural demand, not a current-quarter read. `freshness` states the exact age.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Hemnet MCP
{
"mcpServers": {
"hemnet-mcp": {
"command": "npx",
"args": [
"-y",
"hemnet-mcp"
]
}
}
}
Housing Intel
{
"mcpServers": {
"housing-intel": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-housing-intel"
]
}
}
}
Frequently asked questions
Hemnet MCP is categorized under Real Estate and uses a local stdio subprocess. Housing Intel belongs to Real Estate and uses a local stdio subprocess. Pick Hemnet MCP for real estate work and Housing Intel for real estate.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Hemnet MCP is listed as free. Auth: no auth required. Housing Intel has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add hemnet-mcp and housing-intel as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Hemnet MCP has a quality signal of 64/100 (Good) with 2 views, 0 installs and 1 GitHub stars. Housing Intel has 61/100 (Good) with 1 views, 0 installs and 1 GitHub stars.