Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Parksy 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
Free, no key. Find parking spaces and get parking fine help in AU, US, UK, CA, NZ and IE.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http parksy-mcp https://mcp.parksy.com/mcp
# 2 — ask your agent for something these tools do
# search_parking, get_listing, parking_guides and 3 more
Parksy 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 parksy-mcp https://mcp.parksy.com/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.
6 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.
Find parking spaces, garages, driveways and car parks listed on Parksy near a place. Returns up to 10 listings with type, price as listed, distance, features and a "View listing on Parksy" link. For daily, monthly or hourly parking. Parksy does not take bookings: people contact the parking provider on Parksy.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| place | string | no | City, suburb, neighborhood, landmark or address, for example "Surry Hills, Sydney" or "Midtown Manhattan". Add the state or country when a name is common. |
| country | string | no | Optional two-letter country code, for example AU, US, GB, CA, NZ or IE. |
| radius_km | number | no | Search radius in km (max 25). Default 3. |
| space_type | string | no | — |
| features | array | no | Only listings with all of these features. |
| sort | string | no | — |
| limit | integer | no | — |
Public details of one Parksy parking listing: title, address, prices as listed (hourly, daily, weekly, monthly), space type, features, vehicle sizes, description and the "View listing on Parksy" link where the user can contact the parking provider. Use a listing_id from search_parking or a parksy.com listing URL.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| listing_id | integer | no | Listing id from search_parking. |
| url | string | no | A parksy.com listing URL, instead of listing_id. |
Search Parksy parking guides and articles: free and cheap parking, parking rates, fines and appeals, towing, disability parking, permits, signs, street rules, car storage and moving day, for a city or suburb or in general. Returns titles, short summaries, last-updated dates and links. Use this when a driver asks what to do or what the rules are (towed, clamped, fined, permits, signs). Details such
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | What the person wants to know, in a few words. |
| place | string | no | Optional city or suburb name, for example "Brighton". |
| country | string | no | Optional two-letter country code, for example AU, US, GB, CA, NZ or IE. |
| topic | string | no | — |
| limit | integer | no | — |
Checks how strong the grounds to appeal a parking fine or parking charge look, from yes/no answers (signs, markings, payment machine, notice details, valid ticket or permit, owner or keeper, mitigating circumstances, evidence). Returns likely grounds, where to send the appeal in that country, a deadline note and links to the Appeal Calculator and sample letters. Use this when someone asks about ap
| Parameter | Type | Required | Notes |
|---|---|---|---|
| country | string | no | Two-letter country code where the fine was issued (AU, US, GB, CA, NZ, IE or other). |
| issuer_type | string | no | — |
| signs_clear | string | no | — |
| markings_clear | string | no | — |
| machine_working | string | no | — |
| details_correct | string | no | Are the registration, place, date and offense on the notice correct? |
| valid_ticket_or_permit | string | no | — |
| were_you_the_owner_or_keeper | string | no | Was the person the owner or registered keeper at the time? |
| mitigating | array | no | — |
| evidence | array | no | — |
Lists Parksy sample letters for appealing a parking ticket (for example broken meter, not the driver, sold the car, paid but still fined, public holiday, apology), or returns the text of one letter with its page and PDF/TXT download links. Templates to adapt, not legal advice.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| letter_id | integer | no | Omit to list all letters. Give an id from the list to get that letter. |
Estimates what a parking provider could charge for a parking space (monthly and weekly range, suggested daily and hourly price) at a place, and links to list the space on Parksy. Use this when someone asks what a garage, driveway or parking space is worth, could earn or should charge. Add the country when a place name is common. An estimate only.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| place | string | no | City, suburb, neighborhood, landmark or address, for example "Surry Hills, Sydney" or "Midtown Manhattan". Add the state or country when a name is common. |
| country | string | no | Optional two-letter country code, for example AU, US, GB, CA, NZ or IE. |
| postcode | string | no | Optional postcode or ZIP code for a more local estimate. |
| space_type | string | no | indoor = garage or undercover, outdoor = driveway or open space. |
| secure_access | boolean | no | Access needs a key, remote or code. |
- 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 Parksy 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 |
|---|---|---|
| search_parking | no tags | |
| get_listing | no tags | |
| parking_guides | no tags | |
| fine_appeal_check | no tags | |
| sample_letters | untrusted-input | untrusted-input: keyword "download" |
| space_value | 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 0.2.4.
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 Parksy 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.