Gaff Check vs Homes MCP
A side-by-side look at the Gaff Check and Homes MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Gaff Check for real estate work as a local process; choose Homes MCP 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 Gaff Check when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- You want tools like
resolve_location, planning_applications, sold_prices.
Choose Homes MCP when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You want tools like
homes_search_properties, homes_get_property, homes_calculate_mortgage.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Real Estate | Real Estate |
| Quality signal | 61/100 · Good | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | other |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 8 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 8 | 21 |
| Full listing | View Gaff Check | View Homes MCP |
Tools & capabilities
Gaff Check tools 8
resolve_locationResolve a free-text Irish address or place name to geographic coordinates (WGS84 lat/lng), returning ranked candidate matches. Use this first when the user gives an address, street, townland, or place name in Ireland, to confirm the correct location before calling other gaff-check tools — every candidate echoes its full resolved name so you (and the user) can sanity-check the match. If you already have exact lat/lng coordinates, you do not need this tool. Geocoding uses OpenStreetMap Nominatim and is best-effort: rural addresses and new estates may match poorly, and Eircodes only resolve where OSM mappers happen to have added them (there is no licensed Eircode lookup — if the user has only an Eircode, ask for the address or an approximate location instead). The confidence score ranks candidates within one query; it is not an absolute probability. Coordinates are WGS84 decimal degrees.planning_applicationsFind Irish planning applications near a location, from the National Planning Application Database (all 31 local authorities, coverage back to ~2010, updated on varying cadences). Use this for property due diligence: pending or recent developments near a home (apartment blocks, roads, masts), extensions and attic conversions on the same street (precedents for what gets approved), and refusals that hint at site constraints. Returns per application: reference number, local authority, development description, address, status, decision with dates, distance in metres from the query point, and a link to the local authority's planning file where available. Provide either lat/lng (WGS84) or a free-text address (geocoded via OpenStreetMap; the resolved location is echoed back — verify it matches before drawing conclusions). Dates are ISO YYYY-MM-DD. The 'decided'/'pending' filter is based on whether a decision date is recorded; raw status strings vary by local authority and are returned verbatim. Coordinates of some older applications are approximate, and update lag differs by authority — absence of results is not evidence that nothing is planned.sold_pricesLook up actual sold prices of residential properties in Ireland from the official Property Price Register (PSRA), which records declared prices from stamp-duty filings since January 2010. Use this to see what properties actually sold for near a property of interest: filter by county (required — the register is organised by county), a free-text address fragment (e.g. a street or estate name), an Eircode routing key (first 3 characters, e.g. 'D06' — only present on more recent records), a date range, and/or a price range. Returns per sale: date, declared price in EUR, address as recorded, Eircode where recorded, new vs second-hand, and flags for not-full-market-price and VAT-exclusive sales. Results are newest first. Know the data's limits: addresses are free text typed from stamp-duty returns — spelling varies, many records lack Eircodes, and address matching is substring-based, so try street name alone before street + number. There is no floor area, so price-per-square-metre cannot be derived. Prices on new builds are often VAT-exclusive (flagged), and declared-price errors exist in the register. This tool reports records, not valuations. If the user has no county, ask them (or infer it from the address) before calling.radon_riskGet the EPA's radon risk classification for the area containing a location in Ireland. Radon is a naturally occurring radioactive gas and the second biggest cause of lung cancer in Ireland after smoking. Use this during property due diligence to learn the area's banding from the EPA Radon Risk Map: the result echoes the EPA's own wording ("About 1 in N homes in this area is likely to have high radon levels", where N is 5, 10 or 20 — lower N means higher risk) plus a high_radon_area flag (true for the 1-in-5 and 1-in-10 bands, the ≥10% threshold Ireland uses to designate High Radon Areas, which carry legal testing duties for workplaces). This is an area-level prediction from measurement and geological data — it is NOT a measurement of any specific home. The EPA's standing advice ships in every response: any home anywhere can have high radon regardless of banding, the only way to know is to test, and testing is cheap (~€50). Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back).zoningGet the generalised land-use zoning for a location in Ireland, from the Myplan.ie composite of all current local authority development plans. Use this in property due diligence to learn what the land is zoned for — residential, agricultural, open space, industrial, mixed use, etc. Zoning tells you what could be built there (or next door), whether a site has development potential, and whether a use is likely permissible. Returns the generalised zone type (standardised across authorities, e.g. 'Existing residential'), the local authority's own original zone label and objective text, the development plan name with its validity dates, and a link to plan documents where available. Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back). Important: generalised zoning is a standardised simplification that complements but does NOT replace the statutory development plan — zone boundaries are generalised, and specific objectives, conditions and designations (protected structures, flood zones, SACs) live in the written plan. Verify anything decision-critical against the local authority's plan via the link. Points on unzoned land (much of rural Ireland outside town plans) return no records; that means no zoning objective is mapped, not that development is impossible.flood_riskCheck mapped flood context for a location in Ireland: groundwater flood probability (high/medium/low), maximum historic groundwater flooding, and observed winter 2015/2016 surface-water flooding, from Geological Survey Ireland's 1:20,000 mapping. Use this in property due diligence. For each layer you get: whether the point itself lies inside a mapped extent (at_point), how many extents fall within the search radius, and the distance in metres to the nearest one. Groundwater flooding (turloughs, high water tables) is a distinct hazard from river or coastal flooding and matters especially in karst limestone areas of the west and midlands. CRITICAL LIMITATION — this tool does NOT check river (fluvial) or coastal flood models. The OPW's national flood extent datasets are licensed CC-BY-NC-ND, which forbids serving derived query results, so results include unchecked entries for them pointing to the OPW's official viewer (floodinfo.ie) where the user can view all flood maps for the location. A property can be at serious river or coastal flood risk while showing nothing in this tool's results. Never interpret empty results as "no flood risk": mapping is not exhaustive, pluvial (rain) flooding is not mapped at all, and the fluvial/coastal layers are not queried. Absence of a mapped extent means exactly that and no more. Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back). Insurance decisions use different, private data — this tool says nothing about insurability.ber_contextGet Building Energy Rating (BER) context for an area of Ireland: the distribution of BER grades (A1 best … G worst) among certified dwellings in a county or Dublin postal district, optionally narrowed to a construction era, plus current SEAI retrofit grant amounts. Use this to answer "what energy rating is typical for a house of this age around here?" and "what upgrade grants exist?" during property due diligence. Data is CSO statistics aggregated from BER certificates published since 2009 — e.g. 1978-1999 houses in Co. Galway cluster around C/D, while 2015+ builds are overwhelmingly A-rated. Areas accepted: the 26 counties, the cities (Dublin/Cork/Galway/Limerick/Waterford), or Dublin postal districts ('Dublin 9', 'D6W'). Construction periods: 1700-1977, 1978-1999, 2000-2004, 2005-2009, 2010-2014, 2015-2019, 2020-2024, 2025-2029. THIS TOOL CANNOT TELL YOU A SPECIFIC HOME'S BER — never present the area distribution as the property's rating. A home's actual BER is on its certificate: the seller/agent must provide it, or it can be looked up on SEAI's public register (link included in every response) with the BER number or MPRN. Note also the statistics' bias: only dwellings that needed a certificate (sold, rented, grant-aided, or new since 2009) are counted, so old housing stock that never transacted is under-represented and its true typical rating is likely worse than shown. Grant amounts are a static reference with a last-verified date — confirm on seai.ie before financial decisions.recorded_crime_contextGet recorded-crime context for the Garda sub-district containing an Irish location, using official CSO counts and current Garda administrative boundaries. Use this for factual questions such as "what categories of crime have been recorded in this wider Garda area?" or to supply category-specific values for a choropleth. It returns annual counts, a pooled annual average, rates per 1,000 Census 2022 residents with approximate 95% Poisson intervals, and optionally the latest four-quarter Garda Division trend. Provide WGS84 lat/lng or a free-text address. Offence groups use official broad codes 03–16; omit them to return all published local groups. This is NOT a street-level crime heatmap or a property safety assessment. CSO station data applies to the entire Garda sub-district polygon: incidents have no published coordinates and may have happened anywhere within it. Never infer a hotspot near the address, spread incidents evenly across the polygon, combine categories into a score, or label the property/area safe or unsafe. Homicide (01) and sexual offences (02) are not published at this local resolution and are explicitly reported as unchecked. Resident-based rates are weak in city centres, airports, retail and nightlife areas with large non-resident populations; enforcement activity also affects some categories. Recorded incidents use PULSE report dates, can be revised, and are not a measure of all crime experienced. Fraud has a 2023 break and a narrower public-reported series from 2024.
Homes MCP tools 21
homes_search_propertiesSearch homes.com listings by free-text location (city, ZIP, neighborhood). Optionally filter by property_type (single_family/condo/townhouse/land/mobile/multi_family), listing_type (for_sale/sold/for_rent/open_houses/new_construction), and sort (newest). Slugifies the location into homes.com's URL routing (e.g. 'Atlanta, GA' + condo + for_sale → /atlanta-ga/condos-for-sale/). Parses the embedded Schema.org JSON-LD to return each listing's address, price, beds/baths, sqft, primary photo, listing agent + brokerage, and the homes.com property URL. `location` is required and must contain Latin letters or digits — a blank or unsluggable location (e.g. only punctuation or non-Latin script) is rejected with an error rather than returning an empty result. KNOWN CAP: homes.com server-renders ~40 listings per page; the response carries `truncated: true` + `total_estimated` when the market has more. To enumerate a busy market, price-band or sub-area your search until each segment fits under the cap. Read-only; safe to call repeatedly.homes_get_propertyFetch a property's full homes.com record. Pass `url` — the full property detail URL (e.g. from a homes_search_properties result's `url` field). Parses the page's Schema.org JSON-LD plus DOM-side sections to return address, lat/lng, beds/baths, sqft, year built, price, status, listing agent + brokerage, highlights, estimated monthly payment, total views, Matterport tour URL, floorplan URLs, schools, HOA fee, lot_size_sqft plus the derived lot_size_acres (round(lot_size_sqft / 43560, 2); both null — never 0 — for condos and listings with no lot), parking, heating/cooling, MLS ID/source, and date posted/modified. Also returns `extracted_features` (lake_front, hot_tub, basement, furnished, dock, community) derived server-side from the listing description so callers don't have to keyword-parse marketing prose. Pass `include_price_history: true` to inline the same data `homes_get_property_history` returns (`listing_events`, `ownership_events`, `lien_events`, `events_normalized`) under `price_history`. Pass `include_tax_history: true` to inline `homes_get_tax_history` records under `tax_history`. Both are off by default; opting in costs nothing extra over the dedicated tools (same page fetch). The raw `description` is omitted by default; pass `include_description: true` to opt back in. `listing_agent` carries name / job title / profile url only; pass `include_agent_contact: true` for the agent's telephone and email. Read-only; safe to call repeatedly.homes_calculate_mortgageLocal-only mortgage payment calculator. Returns a full PITI breakdown (principal + interest, property tax, insurance, HOA, PMI) and total interest over the life of the loan. No network call — fully deterministic, safe to use for scenario comparison without burning a fetch. Provide either `down_payment` OR `down_payment_percent`; defaults to 20%. Property tax can be given as `property_tax_annual` or `property_tax_rate` (% of home price). PMI applies automatically when LTV > 80% and `pmi_rate` is provided.homes_compare_propertiesFetch 2 or more homes.com properties and align their facts side-by-side. Each target supplies a `url` — the full homes.com property URL (e.g. from a homes_search_properties result's `url` field). Returns the full per-property record (with server-side `extracted_features`, `hoa_monthly_usd`, `days_on_market`, `price_drop_*`, `lot_size_sqft` + the derived `lot_size_acres`, and `portal_url_hyperlink`). Per-target errors are captured per-row — one bad target will not fail the whole call: a failed row carries `status` = `error_kind` (`timeout` / `bridge_down` / `protocol` / `other`) plus `retryable` and `error`, and the envelope reports `count` / `ok` / `errored`. Calls are concurrent and bounded by an overall deadline: any row still unsettled comes back `status: "pending"` (retryable) with a top-level `pending` count — re-run just those targets. The raw `description` is omitted by default; pass `include_description: true` to keep the marketing prose. `listing_agent` omits the agent's telephone/email unless `include_agent_contact: true`. The cross-row `summary` table duplicates per-property fields (~30% of response weight); it is OPT-IN via `include_summary: true`.homes_calculate_affordabilitySolve for the maximum home price you can afford under the standard 28/36 DTI rule. Inputs: monthly income, recurring monthly debts (car loans, student loans, etc.), down payment, interest rate, and optional property-tax rate / insurance / HOA / loan term. Output: max home price, the binding constraint (front-end vs back-end), and the full PITI breakdown at that price. Same math across the realty MCP cohort (@chrischall/realty-core). No network — pure local math.homes_get_property_photosThe full photo gallery for a homes.com listing. homes.com's JSON-LD only exposes one primary image, so this tool scrapes every <img> tag on the property detail page and filters to the homes.com CDN. Pass `url` — the full homes.com property URL or path (e.g. from a homes_search_properties result's `url` field). Returns `{ property_id, url, count, photos: [{ url, position, alt? }] }`. Read-only; safe to call repeatedly.homes_healthcheckRound-trips a small public www.homes.com URL (/robots.txt) 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.homes.com-side problem'. Read-only, no auth required. Call this when a real tool fails and you want to know which hop broke.homes_get_property_historyDEPRECATED — prefer `homes_get_history` (combined timelines + tax) or `homes_get_property({ url, include_price_history: true })`. Same data, fewer round trips. Will be removed in a future major version. Three timelines for a homes.com property in one call: `listing_events`, `ownership_events`, `lien_events`. Also returns `events_normalized` mapped onto the cross-MCP enum. Each `events_normalized` row is `{ date, type, price?, price_change_pct?, list_to_sale_pct? }` — `price_change_pct` only on `PriceChange` rows; every other row carries homes.com's "List to Sale" figure as `list_to_sale_pct` (e.g. the sale-to-list ratio on a `Sold` row), never as a price change.homes_get_tax_historyDEPRECATED — prefer `homes_get_history` (combined timelines + tax) or `homes_get_property({ url, include_tax_history: true })`. Same data, fewer round trips; note that `homes_get_history` returns the tax array as `tax_records` (not `records`). Will be removed in a future major version. Year-by-year property-tax records: tax paid, total assessed value, land/improvement split.homes_get_historyCombined history endpoint — replaces `homes_get_property_history` + `homes_get_tax_history` with a single fetch. Returns `{ property_id, url, listing_events, ownership_events, lien_events, events_normalized, tax_records }`. Pass `url` — the full property detail URL. Series are `[]` when the listing doesn't carry that section. Cross-MCP-normalized `events_normalized` carries the same enum across siblings (Listed/PriceChange/Pending/Contingent/Sold/Withdrawn/Relisted/Delisted). Each `events_normalized` row is `{ date, type, price?, price_change_pct?, list_to_sale_pct? }` — `price_change_pct` only on `PriceChange` rows; every other row carries homes.com's "List to Sale" figure as `list_to_sale_pct` (e.g. the sale-to-list ratio on a `Sold` row), never as a price change. Read-only; safe to call repeatedly.homes_get_nearby_listingsScrape the nearby-links section of a homes.com detail page (the tabbed list of `<ul id="nb-Property">` near the bottom of the page) and return the nearby active listings. Pass `url` (the property whose neighborhood to inspect). By default returns the For Sale tab; pass `include_rentals: true` to also include the Rentals tab. Optional `limit` caps the count. Returns `{ property_id, url, count, listings: [{ property_id, url, address?, tab }] }`. Note: the nearby section is a curated cross-link list, not a comparable-sales set — only URL + address are exposed (no price/beds/baths/sqft/photo). To enrich a row, call `homes_get_property` on its url. Read-only; safe to call repeatedly.homes_get_market_reportFetch homes.com's recently-sold listings for a city/ZIP/neighborhood and derive a market summary: count, median sale price, and average $/sqft across the sample. Pass `location` — free-text (e.g. 'Brooklyn, NY', '30311'). `location` is required and must contain Latin letters or digits — a blank or unsluggable location (e.g. only punctuation or non-Latin script) is rejected with an error rather than returning an empty result. Returns `{ region, slug, sold_summary, sample_sold }`. Note: homes.com's sold page typically returns ~40 recent listings — this is a sample-based summary, not an exhaustive market index. Read-only.- +9 more on the listing page
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.
Gaff Check
{
"mcpServers": {
"gaff-check": {
"command": "npx",
"args": [
"-y",
"gaff-check"
]
}
}
}
Homes MCP
{
"mcpServers": {
"homes-mcp": {
"command": "npx",
"args": [
"-y",
"homes-mcp"
]
}
}
}
Frequently asked questions
Gaff Check is categorized under Real Estate and uses a local stdio subprocess. Homes MCP belongs to Real Estate and uses a local stdio subprocess. Pick Gaff Check for real estate work and Homes MCP 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.
Gaff Check has no declared pricing — check the project's own site. Homes MCP is listed as free. Auth: other. 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 gaff-check and homes-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Gaff Check has a quality signal of 61/100 (Good) with 1 views, 0 installs and 8 GitHub stars. Homes MCP has 63/100 (Good) with 2 views, 0 installs and 0 GitHub stars.