LuxAlgo MCP server: the entire LuxAlgo ecosystem for AI agents: the Library encyclopedia of trading & technical analysis, prop-firm analysis (firms, challenges, live offers), and the open-source prop-firm challenge Monte Carlo simulator, and local read-on
It puts the LuxAlgo ecosystem behind a single MCP server: an encyclopedia of trading and technical analysis, a live prop-firm directory, a Monte Carlo challenge simulator, and read-only access to your own brokerage accounts. Free and read-only. No API key for anything hosted; the local broker tools use your own keys and never send them anywhere.
claude mcp add --transport http luxalgo https://mcp.luxalgo.com/mcp
The encyclopedia of trading and technical analysis: hundreds of concept pages with formulas, the full indicator catalog with families and tags, and Pine Script sources where publicly served.
Challenge Simulator
The open-source prop-firm-sim Monte Carlo engine, running locally inside the server. Your stats, or your real R-multiple trade series, through a firm's exact ruleset: pass probability with confidence intervals, expected attempts and cost, EV over the funded horizon, optimal-risk sweeps, cross-challenge comparison. Deterministic under seed, every assumption disclosed.
Prop Firm Directory
The live data the simulator draws from: firms, funded-account challenges with their full rulebooks (account sizes, fees, steps, profit splits, drawdown modes, trading restrictions), and current offers.
Brokers (local only)
Read-only access to your own accounts across 16 brokers and exchanges via broker-sdk: balances, positions, trade history, FIFO performance stats. Keys live in your MCP client config as env vars and never leave your machine. The hosted endpoint does not carry these tools, on purpose.
Install
The hosted server is one URL:
https://mcp.luxalgo.com/mcp
Claude Code
claude mcp add --transport http luxalgo https://mcp.luxalgo.com/mcp
Cursor
Use the Install in Cursor button above, or add this to .cursor/mcp.json:
Runs every hosted tool locally, and unlocks the broker tools. Set read-only credential env vars for the brokers you use. Any subset works: a broker connects when all of its vars are set, and with no vars at all the broker tools simply stay unconfigured.
Env var names derive from each broker's credential fields: BROKERS_<BROKER>_<FIELD> (for example BROKERS_OKX_PASSPHRASE, BROKERS_IBKR_FLEX_FLEX_TOKEN). The broker_setup tool lists every supported broker, its exact variables, and a one-line guide to creating each key with read-only scope, which is all this server ever needs.
Tools
Library
Tool
Description
library_search
One search over concepts (alias-aware) and indicators
Library outputs are compact JSON with canonical urls for citation. Concept and family pages are also directly fetchable as markdown: append .md to any concept URL.
Prop Firms
The challenge simulator, running locally inside the server:
Tool
Description
propfirms_list_simulatable
Every simulatable firm and challenge in the live directory, provenance-disclosed
propfirms_challenge_rules
One challenge's full encoded ruleset (drawdown modes, consistency, payout gating, citations), editable and re-simulatable inline
propfirms_simulate
Monte Carlo of your stats (win rate, avg win, trades/day, risk sizing) through a firm's exact ruleset and funded horizon: pass probability with CI, which rule kills attempts, expected attempts and cost, EV, payout probability
propfirms_simulate_trades
Same, from your real R-multiple trade series; block bootstrap preserves your streaks
propfirms_optimal_risk
Risk sweep: pass-optimal vs EV-optimal risk per trade (they differ)
propfirms_compare
Same trader across up to 12 challenges, EV-sorted (not a ranking)
propfirms_pass_rates
The site's reference-archetype odds, recomputed live (seed 42, 10k paths)
propfirms_validate_strategy
Screen one strategy across every simulatable challenge against an explicit pass bar
Every simulation result carries its assumptions, unsimulated-rule flags, seed, and engine version. Results are distributions under stated assumptions, never promises. The engine runs locally; firm rules adapt live from the directory, and inline specs simulate fully offline.
The directory the simulator draws from, queryable directly:
Tool
Description
propfirms_search
Search firms; firm filters (platforms, markets, payments, Trustpilot, country availability) compose with nested challenge and offer filters, and include nests matching children
propfirms_get
One firm's full dossier: profile, every challenge, live offers, written overview
propfirms_search_challenges
Search challenges by rules (size, fee, steps, profit split, drawdown, trading restrictions) and parent firm; can attach applicable live offers
propfirms_search_offers
Current discounts and promo codes, resolvable per firm or per challenge
Brokers (local stdio only)
Tool
Description
broker_setup
Supported brokers, their env vars (set or unset, never values), read-only key guides
Open positions with market values, asset class, entry price; negative quantity means short
broker_trades
Trade history, newest first; filter by broker or symbol
broker_stats
Total equity, equity by broker, top positions, FIFO win rate and realized PnL
broker_refresh
Bypass the 5-minute cache and re-fetch now
Read-only by construction: the SDK's root export has no trading endpoints, the server never writes secrets anywhere, and per-broker failures are reported alongside results, never silently dropped.
Development
npm install
npm run build
npm start # stdio
npm run start:http # streamable HTTP on :3333/mcp
npm test# smoke suite over stdio (hits live endpoints)
npm run test:parity # simulator tools vs upstream package + raw engine
Optional env: LUXALGO_APP_ORIGIN and LUXALGO_SITE_ORIGIN point the server at non-production environments.
Disclaimer
Nothing this server returns is investment advice. Simulation outputs are modeled estimates under stated assumptions, not predictions or guarantees. Verify balances and performance numbers against your broker's own statements, and a prop firm's own page is authoritative for its current rules.
LuxAlgo MCP server: the entire LuxAlgo ecosystem for AI agents: the Library encyclopedia of trading & technical analysis, prop-firm analysis (firms, challenges, live offers), the open-source prop-firm challenge Monte Carlo simulator, Market Trackers (the
The npm package @luxalgo/mcp receives a total of 353 weekly downloads. As such, @luxalgo/mcp popularity was classified as not popular.
We found that @luxalgo/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.It has 3 open source maintainers collaborating on the project.