library_search

MCP tool from Luxalgo MCP Server by LuxAlgo

One search over concepts (alias-aware) and indicators

How to use it

library_search is exposed by the Luxalgo MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the library_search tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Luxalgo MCP Server

$npx -y @luxalgo/mcp
FULL LUXALGO MCP SERVER LISTING

Other tools in Luxalgo MCP Server (33)

broker_accounts

Connected accounts: broker, currency, equity, cash

broker_positions

Open positions with market values, asset class, entry price; negative quantity means short

broker_refresh

Bypass the 5-minute cache and re-fetch now

broker_setup

Supported brokers, their env vars (set or unset, never values), read-only key guides

broker_stats

Total equity, equity by broker, top positions, FIFO win rate and realized PnL

broker_trades

Trade history, newest first; filter by broker or symbol

edge_presets

The catalog of precomputed questions, each stating in plain language what its number means

edge_report

One result in the engine's full honesty envelope: estimate, N, Wilson 95% CI, minimum-sample guards, stability split, per-year counts, distribution, disclaimer

edge_symbols

What the hosted store covers: symbols, session calendars, coverage windows, last build

library_get_concept

Full concept page as markdown

library_get_family

A family hub as markdown plus concept roster

library_get_indicator

Indicator detail: body, family, concepts, source code availability

library_get_source_code

Full source code when publicly served, fetched only on demand

library_list_concepts

Paginated concept roster, optionally per family

library_list_families

The taxonomy backbone with counts

library_list_indicators

Filtered, paginated browse (family, concept, tags, platform, tier) with server-side sort

library_list_tags

The indicator tag vocabulary, for the tags filter

propfirms_challenge_rules

One challenge's full encoded ruleset (drawdown modes, consistency, payout gating, citations), editable and re-simulatable inline

propfirms_compare

Same trader across up to 12 challenges, EV-sorted (not a ranking)

propfirms_get

One firm's full dossier: profile, every challenge, live offers, written overview

propfirms_list_simulatable

Every simulatable firm and challenge in the live directory, provenance-disclosed

propfirms_optimal_risk

Risk sweep: pass-optimal vs EV-optimal risk per trade (they differ)

propfirms_pass_rates

The site's reference-archetype odds, recomputed live (seed 42, 10k paths)

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_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

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_validate_strategy

Screen one strategy across every simulatable challenge against an explicit pass bar

trackers_datasets

The catalog: every dataset's row count, freshness, years with data (live vs deep-history archive), ticker-searchability; pass dataset for its field roster, filterable paths, caveats, per-year coverage, source health and dump URLs

trackers_latest

The newest daily delta of a dataset (today's insider filings, this week's congressional disclosures), optionally narrowed by ticker or text

trackers_query

Search one dataset by ticker, free text, exact field values (where, dot paths) and event-date range, choosing which years to read; newest/oldest ordering with paging

trackers_ticker

One ticker across every ticker-bearing dataset for a year: per-dataset counts with the newest rows — a public-record dossier