Onehome MCP vs Property Records
A side-by-side look at the Onehome MCP and Property Records MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Onehome MCP for real estate work as a local process; choose Property Records 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 Onehome MCP when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ONEHOME_TOKEN, ONEHOME_MAGIC_LINK. - You want tools like
onehome_get_user, onehome_get_groups, onehome_get_session_context.
Choose Property Records when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- You want tools like
property_lookup, property_coverage.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Real Estate | Real Estate |
| Quality signal | 63/100 · Good | 52/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ONEHOME_TOKENONEHOME_MAGIC_LINK | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 21 | 2 |
| Full listing | View Onehome MCP | View Property Records |
Tools & capabilities
Onehome MCP tools 21
onehome_get_userReturns the OneHome user profile + the consumer-share groups attached. Share member e-mails and the agent's e-mail/phones are omitted unless `include_contacts: true`. For full agent / registered users, queries the GraphQL `user` endpoint. For magic-link consumer-share sessions (where `user { }` is access-denied), falls back to the data captured during the `checkToken` exchange — email, contact id, group/savedSearch ids, and the agent who shared with you.onehome_get_groupsList the OneHome groups your agent has shared with you. Share member e-mails and the agent's e-mail/phones are omitted unless `include_contacts: true`. For full agent / registered users, returns the GraphQL `user.groups` list. For magic-link consumer-share sessions (a single shared group), synthesizes a one-entry list from the `checkToken` session context.onehome_get_session_contextReturns one entry per registered session — its `session_id`, auth_mode, token expiry, and session scope (group_id / saved_search_id / agent_id / contact_id / mls_id) the MCP bootstrapped from each checkToken exchange. `active_session_id` flags which session answers by default; per-listing routing uses the active session when its `mls_id` matches the listing's `~MLS` suffix, else the one session that matches (several matches error — pick one with `onehome_set_active_session`). Tools default unspecified `group_id` / `saved_search_id` arguments from the active session's context, so this is the easiest way to see what they'll default to. Single-session use (the common case) returns a one-entry `sessions[]`.onehome_get_saved_searchFetch the agent-curated saved search by its id (UUID). Returns the search's name, filter criteria (`filters[]`), polygon, listing count, and the full list of OSK listing ids that compose the consumer share (`listing_ids`). Pass `include_listing_ids: false` to suppress the listing-id array if you only need the metadata. This is the canonical consumer-readable endpoint; the by-groupId variant is agent-only. `saved_search_id` defaults to the MCP's session context when omitted.onehome_get_saved_search_with_listingsCombo tool: the "show me my saved homes" flow in a single round trip. Internally runs `GetSavedSearchBySearchId` to fetch the saved search (name, filters, polygon, listingIds) and then `GetSavedListings` to inflate those listingIds into full property records — the same two-call sequence as calling `onehome_get_saved_search` followed by `onehome_search_properties(saved_search_id=...)`, but exposed as one tool so the magic-link-to-listings consumer flow is a single MCP call. Returns `{ saved_search, listings, count, page_info }`. Both `saved_search_id` and `group_id` default to the magic-link session context. Sort defaults to `property.MajorChangeTimestamp DESC` (Newest). Listings are returned via the GraphQL listing-card projection (`buildGetSavedListings`), which does NOT include `PublicRemarks` — so there is no raw `description` to opt back into here. Use `onehome_get_property(listing_id)` per row when you need the full description for a specific listing.onehome_search_propertiesFetch listings inside a OneHome consumer-share. Two modes: - With `saved_search_id`: fetch the agent-curated collection (the standard 'Homes at <name>' view). The MCP first resolves the saved search's listingIds and then inflates them via listingsBySavedSearchId — this is the only mode that works for non-agent consumer accounts. - With just `group_id` and no `saved_search_id`: try the raw `listings(groupId, browseParameter)` endpoint. If page 0 comes back empty with no reported results (the access-restricted shape consumer-shares hit) AND the session context has a `savedSearchId` for that same group, the tool falls back to the saved-search path and marks the response `fell_back_to_saved_search: true`. If there's no fallback target it raises a clear error rather than silently returning empty. An empty later page (paging past the end) is returned as an empty page, never swapped for the saved-search collection. Both args default from the MCP's bootstrapped session context (the magic-link checkToken response) when neither is passed explicitly. Sort is `MajorChangeTimestamp DESC` ('Newest') unless overridden. `include_dislikes: false` by default — flip it on to include listings you've thumbs-downed in OneHome. Listings here are returned via the GraphQL listing-card projection, which does NOT include `PublicRemarks` — so there is no `description` field on search results and no `include_description` flag to opt into one. Each listing carries the structured `extracted_features` object instead. Use `onehome_get_property(listing_id)` per row when you need the full description for a specific listing.onehome_search_suggestionsCross-feed suggestion search by address, MLS number, or partial query. Bypasses the group/saved-search structure and hits the global suggestion endpoint — useful for "find an address" or "look up by MLS number". Returns id, address parts, beds/baths, list price, thumbnail per match. Inflate any result with `onehome_get_property`. Optional `group_id` scopes suggestions to one OneHome market.onehome_get_propertyFetch full details for a single OneHome listing by id or portal URL. Returns address, list / close / previous price, $/sqft, beds/baths/sqft, lot size (raw `lot_size` {area, units} plus the derived `lot_size_acres` — null, never 0, for condos / lotless listings), year built, lat/lng, status, HOA fee, annual tax, virtual-tour URL, the primary photo, and an `extracted_features` block (lake_front, hot_tub, basement, furnished, dock, community) keyword-parsed from the description. The raw `description` (PublicRemarks) is omitted by default — pass `include_description: true` to keep it; in most cases the extracted features cover what callers need. OneHome scopes every listing to a group/market — `group_id` defaults to the magic-link session context; pass it explicitly only if you need to query a different group.onehome_get_property_photosFetch the full media gallery for a OneHome listing. Returns one entry per image with Thumbnail / Medium / Large CDN URLs, dimensions, the listing-room description (LongDescription), and display order. Pass either `listing_id` or a portal URL.onehome_compare_propertiesFetch 2 or more OneHome listings and align their facts side-by-side. Each target may supply `listing_id` (preferred) or `url` (a portal URL). Returns the full per-property record (with `extracted_features` populated) per row. Per-target errors are captured per-row — one bad target will not fail the whole call. Calls are concurrent. The raw `description` is omitted from each row by default (`include_description: true` to keep it). The redundant `summary` table is also opt-in via `include_summary: true` — by default only `rows[]` is returned, which already carries every fact.onehome_bulk_getFetch up to 200 OneHome listings in a single call. Returns one structured row per input id (no side-by-side summary table — use `onehome_compare_properties` for that). Each row is either `{ listing_id, status: "ok", property }` on success or `{ listing_id, status, error_kind, retryable, error }` on failure (`status` = `error_kind`: `timeout` / `bridge_down` / `pending` are retryable, `protocol` / `other` are real misses) — one bad id never fails the whole call. Calls fan out concurrently against `ListingById`, capped at 6 in flight to avoid swamping the bridge; transient timeouts are retried once per row before being captured as an error. The whole call is bounded by an overall deadline: any row still unsettled comes back `status: "pending"` with a top-level `pending` count — re-run just those ids. The envelope reports `count` / `ok` / `errored`. `extracted_features` is populated per row automatically. The raw `description` (PublicRemarks) is omitted by default — pass `include_description: true` to keep it. `group_id` defaults to the magic-link session context.onehome_get_schoolsFetch the Local-Logic school data for a coordinate — separate primary and high-school lists, each entry with name, attributes (types/grades/programs/levels), and proximity (walking distance + straight-line distance). Returns an `error` field with HTTP details if the consumer session does not have access (the schools endpoint is sometimes agent-only). lat/lng usually come from `onehome_get_property` (`latitude` / `longitude`).- +9 more on the listing page
Property Records tools 2
property_lookupAddress-level US property records from county and city open-data portals — keyless public records, no API key. Answers "when did this house last sell", "how much did <address> sell for", "who owns this property", "what is the assessed value of <address>", "property sale history", "county assessor d…property_coverageThe capability matrix for property_lookup: every county and city this pack can answer address-level property-record questions for, and exactly which fields each one publishes — sales history (and whether it includes a price), owner name, assessed value, physical characteristics — plus the data vint…
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.
Onehome MCP
{
"mcpServers": {
"onehome-mcp": {
"command": "npx",
"args": [
"-y",
"onehome-mcp"
],
"env": {
"ONEHOME_TOKEN": "YOUR_ONEHOME_TOKEN_HERE",
"ONEHOME_MAGIC_LINK": "YOUR_ONEHOME_MAGIC_LINK_HERE"
}
}
}
}
Property Records
{
"mcpServers": {
"property-records": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-property-records"
]
}
}
}
Frequently asked questions
Onehome MCP is categorized under Real Estate and uses a local stdio subprocess. Property Records belongs to Real Estate and uses a local stdio subprocess. Pick Onehome MCP for real estate work and Property Records 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.
Onehome MCP has no declared pricing — check the project's own site. Property Records 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 onehome-mcp and property-records as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Onehome MCP has a quality signal of 63/100 (Good) with 1 views, 0 installs and 1 GitHub stars. Property Records has 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars.