Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Nothing to run from here
Bucky 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.
15
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Zoning, parcel, and development feasibility for a street address in Canada and the US.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http bucky-mcp https://buckybuild.com/api/mcp
# 2 — ask your agent for something these tools do
# getBuckyMcpGuide, explainFeasibilityStatus, getFeasibilitySnapshot and 12 more
Bucky costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
BUAll 1 server
buckybuild1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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.
Claude Codedeclared by this listing
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 bucky-mcp https://buckybuild.com/api/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
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.
What you approve
15 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.
Call with no arguments on first contact. Optional role, market, and scale answer the first-call questions on a second call. Returns what this session should do next.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| role | string | no | Who is asking. Answers "Developer, GC, or municipal reviewer?". |
| market | string | no | Which country the site is in. Answers "US or Canada?". |
| scale | string | no | One site or several. Answers "Single parcel, or a portfolio?". |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Explain one Bucky coverage or per-fact provenance status and the safe next action. This is a pure static lookup: it does not inspect an address, retrieve property data, or call a database, geocoder, AI model, or third-party API. Accepts exactly one of: live, live_unavailable, planned_not_live, geo_division_uncatalogued, unseeded_place, geocode_failed, cited, cited_conditional, conditional_unresolv
| Parameter | Type | Required | Notes |
|---|---|---|---|
| status | string | yes | A Bucky coverage resolution status or per-fact provenance status returned by a feasibility result. Copy it verbatim. Do not paraphrase or invent a status. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Look up lot, zone, and building envelope for one street address in Canada or the US. Pass address. One address per call; cannot search or compare. Every envelope value carries a status. Never report not_extracted or site_specific_schedule as no limit or as zero — call explainFeasibilityStatus first. Envelope numbers are extracted ceilings. Call getBylawSection with a citation `knowledg
| Parameter | Type | Required | Notes |
|---|---|---|---|
| address | string | yes | Street address to analyse, e.g. "4170 Sophia St, Vancouver BC". |
| source | string | yes | Which question the caller is answering. Used for attribution and to pick the link back; the payload is the same either way. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Return the stored bylaw section text behind a snapshot citation. Pass sectionIds copied from citations.*.knowledgeSectionId on getFeasibilitySnapshot. Or pass geoDivisionId from coverage.geoDivisionId, zoneCode from zone.code, and sectionNumbers such as 3.1 or 3.2. The markdown is the schedule text. A number in the snapshot can still be conditional on frontage, tenure, or adjoining d
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sectionIds | array | no | Copy citations.*.knowledgeSectionId from getFeasibilitySnapshot. 1 to 4 ids. |
| geoDivisionId | string | no | coverage.geoDivisionId from getFeasibilitySnapshot. |
| zoneCode | string | no | zone.code from getFeasibilitySnapshot, for example C-2. |
| sectionNumbers | array | no | Section numbers to read, for example 3.1 or 3.2. 1 to 4 numbers. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Find the lots in one live Bucky city that match a buy box. Pass city or geoDivisionId with thesis (plain words), criteria (square feet, dollars), or both; or pass a saved profileId. Returns countOutcome (exact, partial, or unavailable), screeningRunId, and selected lots ranked largest first with a pass, fail, or not_available verdict per filter. totalMatches is a compatibility value and
| Parameter | Type | Required | Notes |
|---|---|---|---|
| city | string | no | City as the user said it, e.g. "Laval" or "Bedford, MA". Omit when you pass geoDivisionId or profileId. |
| geoDivisionId | string | no | Division id, from an earlier screenLots or cityInventory result. |
| profileId | string | no | Saved buy box id. Runs the saved city and criteria. Do not combine with city, thesis, or criteria. |
| thesis | string | no | The buy box in plain words, e.g. "industrial lots over half an acre outside the floodplain". |
| criteria | object | no | Structured criteria. A field set here replaces the same field read from thesis. |
| save | boolean | no | true saves the buy box to the account. Default false. Search execution history is recorded. |
| saveName | string | no | Name for a saved box. |
| limit | integer | no | Lots to return. Default 10. countOutcome states whether the total is exact, partial, or unavailable. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Enqueue a fresh deterministic analysis run for a saved project. Pass projectId, or project with the name the user said; with neither, the result lists their projects and nothing is queued. Returns immediately with agentStatus (queued, running, current, failed, or none) and a receipt id; does not block on completion. Irreversible: a queued run cannot be un-queued from MCP. Re-check
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | no | Project UUID. Omit if you pass project. |
| project | string | no | Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Load one project with analysis envelope, compact agentStatus, document summaries, evidence summaries, the project memory digest, and external_ref when the project was imported from another system. Pass include for optional sections: tasks, members, insights, capital, visualEvidence. Default is none, so the payload stays the same as a call without include. Writes to those sections stay on the Buc
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | no | Project UUID. Omit if you pass project. |
| project | string | no | Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing. |
| documentsLimit | integer | yes | — |
| evidenceLimit | integer | yes | — |
| include | array | yes | Optional extra sections. Default is none, so the payload matches a call without include. tasks, members, insights, capital, and visualEvidence each reuse the matching product read — they are not separ |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Create a project (create), attach lots (attach_parcels), or attach a knowledge reference (attach_reference). Pass projectId or project; with neither, the result lists projects and writes nothing. For attach_parcels, pass a WGS84 GeoJSON polygon (up to 500 selected parcels), or copy lot.parcelExternalId from getFeasibilitySnapshot. Polygon cannot be combined with parcelExternalIds or ra
| Parameter | Type | Required | Notes |
|---|---|---|---|
| action | string | yes | create: new project from a site. attach_parcels: attach lots to an existing project (use lot.parcelExternalId from getFeasibilitySnapshot). attach_reference: link a knowledge section to an existing pr |
| name | string | no | — |
| address | string | no | Street address of the site. On create this is geocoded server-side when lat/lng are not supplied, and is what gets recorded as the project address. |
| lat | number | no | Latitude from getFeasibilitySnapshot. Supplied coordinates are never re-geocoded. |
| lng | number | no | Longitude from getFeasibilitySnapshot. |
| projectId | string | no | Existing project UUID. Required by attach_parcels and attach_reference unless you pass project; ignored by create. |
| project | string | no | Project name to match instead of a UUID, for attach_parcels and attach_reference. Matching more than one lists the candidates instead of guessing. Ignored by create. |
| sectionUuid | string | no | — |
| parcelExternalIds | array | no | Source parcel ids to attach. Copy lot.parcelExternalId from getFeasibilitySnapshot. If they are not in the current area, pass a larger radiusM on attach_parcels. |
| polygon | object | no | WGS84 GeoJSON Polygon for attach_parcels. Attach the parcels selected by the product area flow, up to 500. Interior rings exclude parcels. Use polygon instead of parcelExternalIds and radiusM. Maximum |
| role | string | no | build is the lot being developed; context is surrounding land. Default build. |
| radiusM | integer | no | Search half-width in metres when resolving parcel ids. Default 150. |
| idempotencyKey | string | no | — |
| externalRef | string | no | Provenance of an imported project. Canonical form is <system>:<id> (e.g. notion:<page-id>). Unique per creator when set. Returned on getProjectContext. Distinct from idempotencyKey. |
| preview | boolean | yes | When true, return the field-level diff and write nothing. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Patch project metadata (name, lifecycle status, externalRef). Pass projectId, or project with the name the user said; with neither, the result lists their projects and nothing is written. preview=true returns the field-level diff and writes nothing. A write returns a receipt; undoOperationId restores the captured prior fields. Does not archive or delete.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | no | Project UUID. Omit if you pass project. |
| project | string | no | Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing. |
| name | string | no | — |
| lifecycleStatus | string | no | — |
| externalRef | no | Provenance of an imported project. Canonical form is <system>:<id> (e.g. notion:<page-id>). Unique per creator when set. Pass null to clear. | |
| preview | boolean | yes | When true, return the field-level diff and write nothing. Combined with undoOperationId, returns the stored receipt. |
| undoOperationId | string | no | Receipt id from a prior updateProject write. Restores the captured prior fields. With preview=true, inspects the receipt instead. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Put a project on the public Bucky map, or take it off. Pass projectId, or project with the name the user said; with neither, the result lists their projects and nothing is published. Listing publishes the build-lot centroid, the project name, its zone category, typology and lifecycle status to anyone — signed in or not. Nothing else about the project is published. The project must have a build
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | no | Project UUID. Omit if you pass project. |
| project | string | no | Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing. |
| listed | boolean | yes | true lists the project on the public map; false removes it. Listing publishes the build-lot centroid and the project name to anyone, signed in or not. |
| preview | boolean | yes | When true, return the current listing state, the pin that would be published, and any privacy warning, and write nothing. |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Compose a project report PDF. Pass projectId or project; with neither, the result lists projects and no meter is spent. preview=true composes without spending. confirm=true exports, spends records.exports, and is irreversible. Returns a signed download URL, never PDF bytes.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | no | Project UUID. Omit if you pass project. |
| project | string | no | Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing. |
| audience | string | yes | — |
| detail | string | yes | — |
| request | string | no | — |
| preview | boolean | yes | When true, compose only — no export meter spend and no download URL. |
| confirm | boolean | yes | When true, compose (if needed), save, export PDF, and return a download URL. Required when preview is false. Spends records.exports and cannot be undone. |
| planName | string | no | — |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Open a human-reviewed feedback form and submit it to the Bucky product team. Call only when the user explicitly asks to send feedback, report a problem, suggest an improvement, or praise something. The server asks the MCP client to show the form; nothing is saved unless the human accepts it. Do not use for silent agent self-reporting.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| submissionId | string | no | Optional. A UUID for this submission; generated server-side when omitted. Pass the same UUID when retrying this exact feedback so it is not recorded twice. |
| affectedToolName | string | no | Tool the user is commenting on, when already known |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Free preview, no sign-in needed. For one street address in Canada or the US, it says whether Bucky covers the place and which zoning facts it holds for the lot (lot boundary, zone, height, density, setbacks, permitted uses, overlays, parking): found, partly on file, or not on file. It returns no values: no zone code, heights, setbacks or areas. The lot outline is a shape with no scale. Use it when
| Parameter | Type | Required | Notes |
|---|---|---|---|
| address | string | yes | Street address to analyse, e.g. "4170 Sophia St, Vancouver BC". |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Public city catalogue inventory. Pass exactly one of: cityName, lat and lng together, or geoDivisionId. A city name with multiple matches returns choices; after the user chooses, call again with that candidate geoDivisionId. Never pass a slug. Shows datasets grouped by topic as on file, not loaded yet, unavailable, or not confirmed. This is city coverage, not lot feasibility or operator health. If
| Parameter | Type | Required | Notes |
|---|---|---|---|
| cityName | string | no | — |
| lat | number | no | — |
| lng | number | no | — |
| geoDivisionId | string | no | — |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Return only the analysis agentStatus for a project. Cheap enough to poll. Used by the Bucky app view; the model should call getProjectContext instead.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| projectId | string | yes | — |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, r |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
Free
$0 forever
- 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 Bucky or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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 1.0.1.
1.0.1
undated
latestNo release note was published with this version.
—
no reviews yet
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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.
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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.