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SupaPark — Walt Disney World live data

REMOTE · SUPAPARK.COM

Live Walt Disney World waits, crowd forecasts, Lightning Lane sellouts and prices, dining drop odds.

Available components

+3 this week 73 Trust /100

Last scanned (6 hours ago)

Scores higher than 60% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Entertainment and Games

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security60
Transport & Reachability100
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1844 tokens (~131/item across 14 items; 14 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management77
  • Stability observed for 23 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage92
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 77% of tool parameters carry a description.Partial
Tool Safety88
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 1 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "get_dining_drop_odds" implies "drop" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Partial
  • An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

  • 4 Nov 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “get_attraction_details” rewrote its description, which is the text the model reads security
    • Tool “get_crowd_forecast” rewrote its description, which is the text the model reads security
    • Tool “get_dining_drop_odds” rewrote its description, which is the text the model reads security
    • Tool “get_hardest_dining_reservations” rewrote its description, which is the text the model reads security
    • Tool “get_lightning_lane_prices” rewrote its description, which is the text the model reads security
    • Tool “get_lightning_lane_sellouts” rewrote its description, which is the text the model reads security
    • Tool “get_live_wait_times” rewrote its description, which is the text the model reads security
    • Tool “get_multi_pass_price” rewrote its description, which is the text the model reads security
    • Tool “which_park_today” rewrote its description, which is the text the model reads security
    • Schema quality: pass → fail ▼ functional
    • Tool coverage: 72% → 77% ▲ functional
    • “get_attraction_details” added an optional parameter “resort” cosmetic
    • “get_dining_drop_odds” added an optional parameter “resort” cosmetic
    • “get_hardest_dining_reservations” added an optional parameter “resort” cosmetic
    • “get_lightning_lane_sellouts” added an optional parameter “resort” cosmetic
    • “get_live_wait_times” added an optional parameter “resort” cosmetic
    • “which_park_today” added an optional parameter “resort” cosmetic
  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 24 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 22 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://supapark.com/api/agent/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=supapark.com CN=WE1,O=Google Trust Services,C=US 4 Oct 2026 2 Jan 2027 ECDSA 256 ECDSA-SHA256 2fab6b13aeb4a130137266e237db4f8a
SANs: supapark.com, *.supapark.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC secure

Validation of supapark.com. — Secure

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
supapark.com. present 2371 13 Verified
supapark.com. Verified address RRset verified with the apex keys
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
x-content-type-options nosniff

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://supapark.com/api/agent/mcp Verified 200
http (plaintext) http://supapark.com/api/agent/mcp HTTPS enforced 301 https://supapark.com/api/agent/mcp
MCP tools · 14 exposed · ~1,657 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_attraction_details ~166

Details for one Walt Disney World attraction (height requirement, land, thrill level, Lightning Lane tier) plus its recent wait-time history and downtime. Takes an attraction slug, e.g. "space-mountain". For a Disneyland Resort attraction pass resort "dlr" (e.g. slug "space-mountain" with resort "dlr"): it returns that attraction's catalog details, with wait history only where SupaPark has recorded it.

NameTypeReqDescription
rangestring––
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). Slugs repeat across resorts (Space Mountain is at both).
slugstringyesAttraction slug, e.g. "space-mountain".

No output schema declared.

No examples provided.

get_crowd_forecast ~132

Day-by-day crowd forecast for one Walt Disney World park: a 0-100 crowd index, a label (low/moderate/high…) and the drivers behind it (holidays, events, school breaks). Covers the next few weeks when no dates are given. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
fromstring–First date, YYYY-MM-DD.
parkstringyesPark to forecast.
tostring–Last date, YYYY-MM-DD.

No output schema declared.

No examples provided.

get_dining_drop_odds ~153

For hard-to-book Walt Disney World restaurants: how often cancelled reservations reappear ("drops"), the probability of catching one, and the best day-of-week and hour to look. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
datestring–Target dining date, YYYY-MM-DD.
limitinteger––
parkstring–Filter to restaurants in this park.
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). A park argument, when given, decides the resort.

No output schema declared.

No examples provided.

get_hardest_dining_reservations ~153

Walt Disney World restaurants ranked by how rarely a reservation opens, from SupaPark's own availability checks: difficulty tier, the share of checks that found a table, and cancellations ("drops") caught in the last 30 days. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
limitinteger––
parkstring–Filter to restaurants in this park.
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). A park argument, when given, decides the resort.

No output schema declared.

No examples provided.

get_lightning_lane_prices ~96

Today's Lightning Lane Single Pass prices per attraction at a Walt Disney World park, with 30-day min/median/max, the current posted wait, minutes saved per dollar and a value verdict (e.g. "great deal"). Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
parkstringyesPark to price.

No output schema declared.

No examples provided.

get_lightning_lane_sellouts ~188

When each Walt Disney World ride's Lightning Lane sold out, measured by SupaPark. range "today": today's sellout times so far (or "still available"). range "week": the typical sellout time over the last seven complete days, with how many days sold out and how many were gone before 7:00 AM. Times are Eastern. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
limitinteger––
parkstring–Filter to one park. Omit for all four parks.
rangestring––
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). A park argument, when given, decides the resort.

No output schema declared.

No examples provided.

get_live_wait_times ~154

Current posted wait times for Walt Disney World attractions plus SupaPark's Real Wait estimate of the actual wait, a low/high range, confidence, and a flag for "ghost" waits that are posted but not real. Refreshes every few minutes during park hours. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
parkstring–Park to return waits for. Omit for all four parks.
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). A park argument, when given, decides the resort.

No output schema declared.

No examples provided.

get_multi_pass_price ~85

The Lightning Lane Multi Pass price for a Walt Disney World park on a given date (defaults to today). Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
datestring–YYYY-MM-DD; defaults to today.
parkstringyesPark to price.

No output schema declared.

No examples provided.

get_my_account ~49

Shows whether this assistant is linked to a SupaPark account, the plan (free, silver or gold) and how alerts are delivered. Requires a linked SupaPark account (pairing key).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_my_watches ~46

Lists the active ride and dining watches (alerts) on the linked SupaPark account, with each watch's id. Requires a linked SupaPark account (pairing key).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

remove_watch ~58

Turns off one watch on the linked SupaPark account, by watch id. It can be restored in the SupaPark app. Requires a linked SupaPark account (pairing key).

NameTypeReqDescription
idstringyesWatch id (UUID).

No output schema declared.

No examples provided.

watch_dining ~101

Creates an alert on the linked SupaPark account that fires when a reservation opens at a Walt Disney World restaurant for the given date and party size. Requires a linked SupaPark account (pairing key).

NameTypeReqDescription
datestringyesDining date, YYYY-MM-DD (within 180 days).
party_sizeintegeryes–
restaurantstringyesRestaurant slug (e.g. "be-our-guest-restaurant") or name.

No output schema declared.

No examples provided.

watch_ride ~148

Creates an alert on the linked SupaPark account for a Walt Disney World ride. kind "lightning_lane": alert when Lightning Lane return times open up (optionally for a specific date). kind "wait_drop": alert when the standby wait drops to threshold_minutes or less. Delivery channel follows the account's plan. Requires a linked SupaPark account (pairing key).

NameTypeReqDescription
datestring–lightning_lane only: YYYY-MM-DD. Omit for the next opening.
kindstringyes–
ridestringyesRide slug (e.g. "space-mountain") or name.
threshold_minutesinteger–wait_drop only. Default 30.

No output schema declared.

No examples provided.

which_park_today ~128

Ranks the four Walt Disney World theme parks for visiting right now, combining live crowd levels, today's forecast and remaining park hours. Returns each park's rank, live average wait, open/close times and a one-line reason. Disneyland Resort parks (disneyland, california-adventure) are accepted; they return quality_state "unavailable" until Disneyland Resort data is connected.

NameTypeReqDescription
resortstring–Resort: "wdw" (Walt Disney World, the default) or "dlr" (Disneyland Resort). A park argument, when given, decides the resort.

No output schema declared.

No examples provided.

Install

How do I install the SupaPark — Walt Disney World live data MCP server?

SupaPark — Walt Disney World live data is a hosted endpoint at https://supapark.com/api/agent/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · supapark.com

# add to Claude Code
claude mcp add --transport http com-supapark-agent-api 'https://supapark.com/api/agent/mcp'
Common questions

What is the SupaPark — Walt Disney World live data MCP server?

SupaPark — Walt Disney World live data is an MCP server listed in the public MCP registry as com.supapark/agent-api. Live Walt Disney World waits, crowd forecasts, Lightning Lane sellouts and prices, dining drop odds. This page covers its hosted endpoint (https://supapark.com/api/agent/mcp).

Is the SupaPark — Walt Disney World live data MCP server safe to use?

SupaPark — Walt Disney World live data scores 73 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the SupaPark — Walt Disney World live data MCP server expose?

SupaPark — Walt Disney World live data exposes 14 tools: which_park_today, get_live_wait_times, get_crowd_forecast, get_dining_drop_odds, get_lightning_lane_prices, and 9 more. Their descriptions and schemas cost roughly 1,657 tokens of context every time the server is loaded.

Does the SupaPark — Walt Disney World live data MCP server require authentication?

No. We connected to SupaPark — Walt Disney World live data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the SupaPark — Walt Disney World live data MCP server still maintained?

SupaPark — Walt Disney World live data is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.