LuxAlgo MCP ist ein MCP-Server von LuxAlgo. Marktplätze, die wir lesen und die es listen: 1 (Official MCP Registry). Die letzte erfasste Änderung war am 2026-10-14. Stand unseres Marktplatz-Durchlaufs vom 2026-10-15.
Was es abfragt
Läuft entfernt
Keiner der Marktplätze, die wir lesen, veröffentlicht seine Tools oder die abgefragten Einstellungen.
Neueste Version auf npm: 1.5.0, veröffentlicht am 2026-09-24
Die angegebene Version 1.5.0 ist auf npm nicht gelistet
Die npm-Angaben stammen aus dem öffentlichen npm-Register (registry.npmjs.org, api.npmjs.org). Jede Zahl gehört ihrem Register und wird nie mit einer anderen addiert. Ein Register, das keine Zahl veröffentlicht, zeigt keine: keine Zahl ist nicht null.
Ein Ein-Klick-Link öffnet den Client, der vor dem Hinzufügen des Servers um Bestätigung bittet.
Nach den Marktplätzen, die ihn listen, und dem angegebenen MCP-Transport, wie jeder Client sie dokumentiert. Wir testen keine Plugins.
Von Ext Ops beobachtet
Von Ext Ops beobachtet am 2026-10-12: was der Endpoint selbst auf die Bitte antwortete, seine Tools aufzulisten. Wir rufen die Tools nie auf.
Deklarierte Tools: 42
edge_presetsThe catalog of session-statistics questions the hosted store precomputes nightly — gap fills, opening-range breakouts, day-of-week effects, event-day behavior, and more. Each preset states in plain l…
edge_reportOne precomputed session-statistics result: P(outcome | conditions) for a preset on a hosted symbol, in the engine's full honesty envelope — the estimate with N and a Wilson 95% confidence interval, m…
edge_symbolsWhat the hosted Edge Stats store covers: the symbols, their session calendars, coverage windows, session counts, and when the nightly build last ran. Session statistics (how often a setup actually wo…
journal_add_tradeLog a trade by adding its fills to a `manual` or `import` journal account (never a broker-synced one — the sync owns those). The journal derives trades from fills: a long round trip is a buy fill the…
journal_breakdownWhere the P&L actually comes from: closed trades in the window grouped nine ways — weekday, time of day, hold time, symbol, side, position size, tag, rating and asset class — each group with trade co…
journal_calendarOne month of the P&L calendar: week rows of day cells (net and gross P&L, fees, trade/win/loss/breakeven counts, volume; null for days with no trades), each week's net P&L and trade count, and the mo…
journal_get_dayA single trading day: its stats (null when nothing traded), its trades (closed that day, or opened that day and still open) as summaries, and the day's notes with their ids. `date` is a YYYY-MM-DD da…
journal_get_tradeOne trade in full: the summary fields plus its fills (each with the effective values, what the source reported, the user's corrections and whether it is hidden), per-exit gross P&L, hidden fills insi…
journal_list_accountsThe signed-in user's trade-journal accounts — id, name, broker, kind (`sync` mirrors a live broker connection, `import` came from statements, `manual` is hand-entered), currency, initial balance, P&L…
journal_list_tagsThe user's annotation vocabulary: every tag, mistake and playbook id they have put on any trade (open or closed), most-used first with the number of trades carrying each. Check it before journal_upda…
journal_list_tradesTrade summaries — `key`, account, symbol, asset class, direction, status (open/win/loss/breakeven), open and close times, quantity and open quantity, average entry/exit, gross and net P&L, fees, fill…
journal_overviewThe journal dashboard in one call for a window: performance metrics (net/gross P&L, fees, win rate, day win rate, profit factor, expectancy, average win/loss and their ratio, largest win/loss, streak…
Weitere anzeigen: 30
journal_search_notesSearch the notes feed — day notes and trades that carry notes — newest first as one stream split by kind: `notes` (day notes, with ids for journal_update_note) and `tradeNotes` (the trade summary wit…
journal_update_noteReplace a day note's text and/or move it to another day, by note id (from journal_get_day or journal_search_notes). The body is replaced whole — to append, read the current text first and send the fu…
journal_update_tradeAnnotate a trade — the user-owned fields only: `notes` (free text about this trade), `tags`, `mistakes`, `playbookId`, `rating` 1–5, `stopLoss` and `profitTarget` (price levels; the stop is what real…
journal_write_noteAdd a new note to a trading day — any day, traded or not; `date` is YYYY-MM-DD in the journal timezone. Days hold any number of notes, so this never overwrites: to change an existing note use journal…
library_get_conceptExplain a trading concept: the Library's full write-up as markdown — definition, formula, how traders read it, and its indicator implementations. Use for any 'what is X / how does X work' question. N…
library_get_familyA family's hub page as markdown — the written overview of that school of analysis plus its complete concept roster. Use after library_list_families, or when the user asks about a whole area like 'SMC…
library_get_indicatorDetails for one indicator: what it does, how to read it, family, concept links, preview image — plus whether its source code is available (fetch the code itself with library_get_source_code). Use whe…
library_get_source_codeThe full, working source code of a Library indicator (works on TradingView). Kept separate from library_get_indicator because sources are long — call it only when the user wants the code itself.
library_list_conceptsBrowse every trading and technical-analysis concept in the Library — paginated, optionally one family. Use to enumerate a topic area or find slugs for library_get_concept; for keyword lookup prefer l…
library_list_familiesThe Library's top-level taxonomy: 17 families of trading concepts (trend, momentum, SMC/ICT, statistics, …) with concept counts and hub links. The natural first call for orientation.
library_list_indicatorsBrowse the indicator catalog with filters and server-side sorting (newest first by default). Filter by family, concept slug (implementations of one concept), tags (ids from library_list_tags, AND-com…
library_list_tagsThe Library's indicator tag vocabulary (behavioral traits like 'Volatility', 'Trailing-Stop', 'Repainting Functionality'). Returns ids to pass as the tags filter of library_list_indicators — tags are…
library_searchSearch the LuxAlgo Library — the encyclopedia of trading and technical analysis. One query over 800+ concepts (alias-aware: 'stochastics' finds Stochastic Oscillator) and 800+ ready-to-use indicators…
luxalgo_accountThe signed-in user's LuxAlgo account: plan tier, entitlements (limits such as alerts, historical bars, AI credits) and profile basics. Use it to tailor answers to what the user's plan actually allows…
propfirms_challenge_rulesFetch one directory challenge's complete ruleset (ChallengeSpec), adapted from the live LuxAlgo directory: evaluation steps (profit targets in percent units of the initial account, minimum trading da…
propfirms_compareSimulate the SAME trader across several challenges (directory references and/or inline specs, up to 12) under identical options and seed, and return one row per challenge sorted by expected value. TH…
propfirms_getOne prop firm's full dossier by slug: general profile (platforms, markets, payments, Trustpilot, restricted countries), every challenge with its rules, live offers with promo codes and affiliate link…
propfirms_list_simulatableList the prop firms in the live LuxAlgo directory together with every simulatable challenge (challengeId, display name, account size, currency, price, and its rule-semantics provenance). Call this fi…
propfirms_optimal_riskSweep risk-per-trade over a grid, run the full journey simulation at every point, and report two optima separately: bestByPassProbability (the risk that maximizes a single attempt's chance of passing…
propfirms_pass_ratesReference challenge pass rates computed live from the directory's encoded rules with the same engine, seed (42), path count (10,000) and reference archetypes luxalgo.com/prop-firms uses — per challen…
propfirms_search_challengesSearch funded-account challenges across all visible prop firms. Filter by challenge rules (account size, fee, steps, profit split, drawdown mode, news/copy/auto trading, weekend holding, …) and by pa…
propfirms_search_offersSearch promotional offers (discounts and promo codes) across prop firms — defaults to live (active, unexpired) offers only. propfirmId narrows to one firm; challengeId resolves the offers that apply…
propfirms_simulateMonte Carlo-simulate a trader with the given statistics through a prop-firm challenge and (by default) a funded horizon. Answers: "What is my chance of passing per attempt, and of ever getting funded…
propfirms_simulate_tradesSimulate a challenge by resampling the trader's OWN R-multiple trade series with a stationary block bootstrap instead of a win-rate model. Why resampling matters: challenge rules are breached by stre…
propfirms_validate_strategyAnswer 'which challenges would MY strategy actually pass?' in one call: simulate the given strategy through every simulatable challenge in the live directory (optionally scoped by productType, accoun…
trackers_datasetsThe Market Trackers catalog: every dataset of US public-record market data the LuxAlgo pipeline publishes as CC0 dumps — congressional trades, insider (Forms 3/4/5) transactions, 13F holdings, federa…
trackers_latestWhat the last daily publish added to one dataset — the newest ingestion day's rows (the dumps' latest.json), optionally narrowed by ticker or text. The cheapest way to see what is new: today's inside…
trackers_querySearch one Market Trackers dataset by ticker, free text, exact field values, and event-date range, with paging and newest/oldest ordering. Data is read from year-sharded CC0 dumps: pass years (or sin…
trackers_tickerOne ticker across every ticker-bearing Market Trackers dataset for one year (default: the current year): insider transactions, congressional trades, 13F holdings, federal contracts and grants, lobbyi…
Seine Marktplätze veröffentlichen keine Tool-Liste.
Downloads pro Monat (npm): 592 Downloads pro Woche (npm): 68 Forks (GitHub): 36 Sterne (GitHub): 95
Nicht markiert
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
Wie sich die Zahlen entwickelt haben
Forks (GitHub)+1 seit 12.10
Verlauf von Official MCP Registry
3635
12.1013.1014.10
2026-10-1235
2026-10-1336
2026-10-1436
Sterne (GitHub)+2 seit 12.10
Verlauf von Official MCP Registry
959493
12.1013.1014.10
2026-10-1293
2026-10-1394
2026-10-1495
Jeder Punkt ist ein Tag, an dem wir eine andere Zahl gelesen haben; flache Abschnitte sind Tage ohne Veränderung. Zahlen verschiedener Marktplätze werden nie addiert.
Was sich geändert hat
Bei diesem Plugin hat sich nichts bewegt, seit wir es beobachten.
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Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
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