Luxalgo MCP Server vs Predictionmarketspicks MCP
A side-by-side look at the Luxalgo MCP Server and Predictionmarketspicks MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Luxalgo MCP Server for finance & fintech work as a local process; choose Predictionmarketspicks MCP for finance & fintech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Luxalgo MCP Server when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- You want tools like
library_search, library_get_concept, library_get_indicator.
Choose Predictionmarketspicks MCP when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
fed_rate_odds, calculate_ev, kelly_size.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Finance & Fintech | Finance & Fintech |
| Quality signal | 68/100 · Great | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Free | Freemium |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 100 | 0 |
| Directory activity | 8 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 48 | 34 |
| Full listing | View Luxalgo MCP Server | View Predictionmarketspicks MCP |
Tools & capabilities
Luxalgo MCP Server tools 48
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. Start here whenever you have a name, informal term, or topic; results carry slugs for the get tools plus canonical URLs for citation.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. Needs the exact slug — find it with library_search or library_list_concepts.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 when the user asks about a specific indicator.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 library_search.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-combined), trading platform, or plan tier. Use for structured browsing — 'latest indicators', 'everything in the volatility family', 'indicators implementing liquidity sweeps'; for keyword discovery prefer library_search.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 orthogonal to the concept-family taxonomy.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_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' or 'Wyckoff'.propfirms_searchSearch LuxAlgo's prop-firm catalog (proprietary trading firms offering funded accounts). Combine firm filters (platforms, markets, payment/payout methods, country availability, Trustpilot, year founded) with nested challenge filters (account size, price, steps, profit split, trading rules) and offer filters — a firm matches when at least one of its challenges/offers matches all of them. Omit every filter to list all firms. Use include to nest the matching challenges, live offers, and the written overview; for one firm's full dossier prefer propfirms_get. Uncaptured (null) fields are omitted from results; nested challenges reference offers via offerIds into the firm-level offers list. This tool returns directory data (what exists and on what terms), not outcomes: for simulated pass odds on a challenge found here, use propfirms_pass_rates or propfirms_simulate with its firm and challenge ids.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 links, and the written overview (about, rules, payout policy, FAQ). Find slugs with propfirms_search. Uncaptured (null) fields are omitted; challenges reference applicable offers via offerIds into the firm-level offers list. For simulated pass odds on this firm's challenges (reference archetypes, same engine as luxalgo.com/prop-firms), use propfirms_pass_rates.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 parent-firm properties. Pass propfirmId to list one firm's challenges, or challengeId to fetch specific ones. include=['offers'] returns a deduplicated top-level offers list, with each challenge referencing its applicable offers via offerIds (firm-wide offers included). Uncaptured (null) rule fields are omitted from results and never match filters. This returns each challenge's listed rules and terms, not outcomes: to simulate a challenge found here pass its ids to propfirms_simulate or propfirms_pass_rates, and to screen one strategy across many challenges at once use propfirms_validate_strategy.- +36 more on the listing page
Predictionmarketspicks MCP tools 34
fed_rate_oddsUse for "will the Fed cut, hold or hike" and "next FOMC meeting odds". Live Kalshi odds for each remaining 2026 FOMC meeting: the next meeting's full strike breakdown and days-until, the rate path, the current fed funds rate, and a next-meeting cross-venue check against Polymarket and CME futures, with the gap in pp. Free, no key.calculate_evUse for "is this contract mispriced" and "what is my edge". Give a Kalshi or Polymarket price in cents and your own probability; returns the % expected-value edge and a BUY / SELL / SKIP read. Free, no key. Every PMP engine signal is graded in public: predictionmarketspicks.com/track-record.kelly_sizeCompute the optimal Kelly position size for a prediction-market contract. Given your win probability, the market price (which sets the payout), your bankroll, and a Kelly fraction (full / half / quarter / eighth), returns the dollar stake and a risk rating. Use for "how much should I stake", "what is my position size", "Kelly sizing for this trade".bayes_updateUpdate a prior probability with one or more pieces of evidence using Bayes theorem. Given a prior and a list of evidence items (each with P(evidence | true) and P(evidence | false)), returns the posterior probability and the per-step chain. Use for "update my estimate with new information", "posterior probability", "how does this news change the odds".convert_probabilityConvert between implied probability, American odds, and decimal odds. Give one value and its format and get all three back (American odds carry no commas, e.g. +441 or -200). Use for "what is +150 as a probability", "convert 62% to American odds", "decimal to implied odds".base_rate_gapUse for "how does this price compare to history" and "is the market ignoring the base rate". Compares a market price with the historical base rate for a class of events: the gap in pp, a signal, and sample-size quality. Pass a known baseRateId (the parameter lists them) or your own baseRateValue. Free, no key.combo_edgeUse for "price a same-game NFL combo" and "is this combo worth it". Pass nflGame ("NYG-LAR", "Giants vs Rams") to list that game's Kalshi legs — moneyline, spreads, totals, player props — then legIds to price your pick with the correlation done for you. Or pass legPrices + trueWinProbability for a fair band; add offeredOdds for EV and a verdict. Free.nfl_power_ratingsThe PredictionMarketsPicks NFL power ratings — PWR for all 32 teams: points per game above an average team on a neutral field, where PWR = Off PR + Def PR + ST PR. Includes each team's rank and tier. Free, no key. Use for "best NFL teams by power rating", "NFL power rankings 2026", "is Baltimore overrated", "how good is Kansas City", "NFL team ratings".nfl_win_probabilityUse for "who wins Chiefs vs 49ers" and "what does a -7 spread mean". Pass homeTeam + awayTeam (or game, or one team) for our QB-gated model line (raw power ratings if unscheduled), or a spread (home favored negative). Returns win, cover and over/under probability, the projected score and our own total; neutral-site games get no home edge. Free, no key.find_arbitrageUse for "where is the arbitrage" and "Kalshi vs Polymarket price gaps". Cross-venue gaps on the same sports contract (NBA, NHL, MLB, World Cup) against Polymarket's international book: the gap in pp, the WATCH/ARB signal and the cheaper venue. Free: the top 3 gaps in full; Pro returns the whole board.market_pulseThe US macro-health composite (0–100) and regime plus the six category scores (growth, labor, inflation, rates, liquidity, sentiment). The composite and the regime call are free without a key, always, along with 2 category scores; one email returns 4 and Pro returns all six. Use for "how is the US economy", "macro regime", "risk-on or risk-off".commodity_edgeUse for "gold edge today" and "oil or bitcoin trade signal". The Kalshi daily gold, silver or WTI strike, or hourly bitcoin strike, with the largest PMP model edge, as a ticket: side, entry price, resolve criterion, model probability, edge, tier and quarter-Kelly size. Pass tickers[] to check a watchlist. Pro — sign in with PredictionMarketsPicks, or a Pro API key.- +22 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Luxalgo MCP Server
{
"mcpServers": {
"luxalgo-mcp-server": {
"command": "npx",
"args": [
"-y",
"@luxalgo/mcp"
]
}
}
}
Predictionmarketspicks MCP
{
"mcpServers": {
"predictionmarketspicks-mcp": {
"command": "npx",
"args": [
"-y",
"@predictionmarketspicks/mcp"
]
}
}
}
Frequently asked questions
Luxalgo MCP Server is categorized under Finance & Fintech and uses a local stdio subprocess. Predictionmarketspicks MCP belongs to Finance & Fintech and uses a local stdio subprocess. Pick Luxalgo MCP Server for finance & fintech work and Predictionmarketspicks MCP for finance & fintech.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Luxalgo MCP Server is listed as free. Predictionmarketspicks MCP is listed as freemium — a free tier with paid plans. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add luxalgo-mcp-server and predictionmarketspicks-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Luxalgo MCP Server has a quality signal of 68/100 (Great) with 8 views, 0 installs and 100 GitHub stars. Predictionmarketspicks MCP has 63/100 (Good) with 1 views, 0 installs and 0 GitHub stars.