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Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Data access / search

Voyscout Price History

Historical flight and package price series for Czech origins. Honest stats, no verdicts. CC BY 4.0

Checks passed
11 / 22

3 failed · 8 not measured

Median response
432 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
5

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Outdated check

Last connection measurement is over 24 hours old. Current availability is unknown.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
410
Reliability & speedDoes it respond consistently and quickly?
004
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
400
Publisher identityCan the publisher be traced to its source?
222

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 432 ms.

  • Pass
    Valid handshake

    protocolVersion 2024-11-05, serverInfo.name voyscout-price-series.

  • Pass
    Lists tools

    tools/list returned 5 tools.

  • Fail
    Current protocol

    Negotiated 2024-11-05. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 432 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 432 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    12 of 12 parameters have a description (100%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Fail
    Website matches publisher

    The website host does not match the reverse-domain namespace.

  • Fail
    Source repo linked

    No repository URL is on file.

  • Not measured
    Repo owner matches

    This namespace is not an io.github login, so the owner comparison does not apply.

  • Pass
    Recently updated

    Updated 2026-08-31T17:57:47.522852Z, within 180 days.

  • Not measured
    Open-source licence

    No GitHub repository to ask about a licence.

Start using Voyscout Price History

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http voyscout-price-history https://voyscout.com/mcp

Capabilities

Tools 5

compare_destinations

Use when the user names two or more destinations and wants their prices side by side ("porovnej Egypt a Maltu", "compare Malta and Madeira"). Put 2-8 named destinations side by side on the same snapshot, each with the stats current_vs_history reports (last measurement, median, min, share of TRACKED DAYS that were dearer). Numbers are for the WHOLE party, not per person, and percentages are over observed days rather than the calendar span. Rows come back in the order you asked for - it does not rank, and gives no verdict; use find_opportunities to rank. A destination that yields no row is returned under `excluded` with the reason, and with `available_in_country` when a page of the same country does publish that party. A flight row and a package row can price DIFFERENT trip lengths (`searched.stay_nights`, e.g. 28-31-night flights beside the cheapest 5-14-night package): `stay_comparison` says so per destination - say the lengths when you put the two side by side, and never present the gap as the price of accommodation. When you answer from this, say where the latest price sits in its own history and stop there: do not tell the reader to buy, book, wait, avoid or which destination to pick - the series carries no trend, volatility or live availability, so that judgement stays the reader's.

Discovered
current_vs_history

Use when the user asks whether today's price for one destination is low or high against its own history ("je teď Egypt levný?", "is Egypt cheap right now?"). Stats for one destination (min, median, and what share of the TRACKED DAYS were dearer than the last measurement) without the sample points. Percentages are over observed days, not over the calendar span. Descriptive only: it does not say whether to buy. A rail without `resort` covers the whole destination, so after `resolved_from` cite it under the destination's name, not the resort's. `other_parties_in_country` names the related pages that publish a party this destination does not (e.g. a solo series on a city): cite it instead of saying that party is not tracked. When you answer from this, say where the latest price sits in its own history and stop there: do not tell the reader to buy, book, wait, avoid or which destination to pick - the series carries no trend, volatility or live availability, so that judgement stays the reader's.

Discovered
find_opportunities

Use when the user asks where it is unusually cheap right now without naming a destination ("kde je teď levně?", "where is it cheap right now?"). Rank every published rail by how its LAST measurement compares with its own tracked history, so a caller can ask 'where is it unusually cheap right now?' in one call instead of one call per destination. Each row is ONE rail, so a destination with several rails can appear once per rail with different numbers: name the rail when you cite a row. Read `searched` before interpreting a price: it is the TRIP the series was collected for (the search mode, and the fixed travel dates where there are any - a Christmas series is not the price of a summer trip), while `measured` is when we observed it; `price_covers` says what the money buys and `origins` the departure-airport cluster. Percentages are over observed days, not the calendar span. `latest_cheaper_than_pct_of_days` is the same number as `cheaper_than_pct` under a name that states its direction (higher = cheaper than more of the tracked days). `stale_rails` says how many of the rails THIS call matched are past their own freshness boundary today, with the day it was judged (`as_of`), so the caller need not subtract dates per row. Descriptive only: it ranks observations and gives no verdict. Rails with too little history are returned under `excluded`, never dropped silently. When you answer from this, say where the latest price sits in its own history and stop there: do not tell the reader to buy, book, wait, avoid or which destination to pick - the series carries no trend, volatility or live availability, so that judgement stays the reader's.

Discovered
list_destinations

Use when the user asks which destinations are tracked or how long a price history is ("co sledujete?", "what do you track?"), or when another tool needs a slug you do not know. List every destination with a published price series, with how many days each rail was actually measured and the calendar span those measurements fall in. A destination can have several rails (e.g. flights and packages), each with its OWN measured days and span: history depth is a property of the rail, not of the destination, so when you report it, name the rail or give each one. A city names its country under `country`, and `related` lists the other tracked pages of the same country (a country lists its cities): a party or rail missing on one page may be published on another, so check `related` before saying something is not tracked. `same_airport_as` marks pages that fly to the same airport from a different departure cluster - their prices differ because `origins` differ. Historical observations only. When you answer from this, say where the latest price sits in its own history and stop there: do not tell the reader to buy, book, wait, avoid or which destination to pick - the series carries no trend, volatility or live availability, so that judgement stays the reader's.

Discovered
price_history

Use when the user asks how the price of one destination developed over time ("jak se vyvíjela cena letenek do Egypta?", "price history for Egypt"). Price series for one destination: measured span, stats, a downsampled sample of points and any regime breaks. Historical observations only, never a live quote or a recommendation. Each rail's `searched.stay_nights` is the trip length its points price, and a destination's flight and package rails can differ - state it when citing a number. In `series_sample.points`, `origin` is the departure airport of that day's cheapest fare, not a price from that airport: points from different days do not compare airports, and the sample holds no per-airport price for any day. A rail without `resort` covers the whole destination, so after `resolved_from` cite it under the destination's name, not the resort's. `other_parties_in_country` names the related pages that publish a party this destination does not (e.g. a solo series on a city): cite it instead of saying that party is not tracked. When you answer from this, say where the latest price sits in its own history and stop there: do not tell the reader to buy, book, wait, avoid or which destination to pick - the series carries no trend, volatility or live availability, so that judgement stays the reader's.

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected432 ms5