Skip to main content
Glama
441,449 tools. Updated 2026-08-11 05:20

"Max" matching MCP tools:

  • Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart.
    Connector
  • Get pools on one network filtered by numeric thresholds, returned under 'results' with has_next_page and next_cursor. Read-only and keyless. Choose this over getNetworkPools when the user gives numeric constraints or a time window. Use for 'pools over $1M liquidity on Base', 'pools created in the last 24h', or 'high-volume low-liquidity pairs'. Optional filters (AND-combined): volume_24h_min/max, volume_7d_min/max, liquidity_usd_min/max, txns_24h_min, price_change_percentage_{24h,6h,1h,5m}_min/max (percent, negatives allowed for finding losers), created_after/created_before (Unix timestamps). Also network (required); limit (default 50, max 100); cursor to page; sort_by (default 'volume_usd_24h', alias order_by); sort_dir asc/desc (default 'desc', alias sort).
    Connector
  • Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector
  • Get verified summary water-level products from a NOAA station: - high_low: each day's observed highs/lows with ty = HH (higher high), H, L, LL (lower low). Max 1 year per request. - daily_mean: daily mean levels — GREAT LAKES STATIONS ONLY; NOAA requires local standard time, which this tool applies automatically. Max 10 years. - daily_max_min: daily maxima/minima from hourly and 6-minute data with completeness percentages. Max 10 years. - monthly_mean: monthly tidal datum means (columns MHHW, MHW, MSL, MTL, MLW, MLLW, DTL, GT, MN, DHQ, DLQ, HWI, LWI, highest, lowest). Max 200 years — ideal for long-term climatology. Use for: historical extremes, mixed-tide analysis (HH vs H), long-term averages. For raw time series use noaa_get_water_levels; for future tides use noaa_get_tide_predictions.
    Connector
  • Returns the MP SDK tool layer's capabilities: supported layer content kinds, animatable properties, effect ids, transition ids, and operational limits (max duration, max layers, max resolution). Call this first when planning a composition so subsequent calls stay within supported bounds. The full document is large (~8K tokens); pass `sections` to fetch only the slices you need — PREFER the granular supports sub-keys over the whole `supports` block (e.g. ["effects","limits"] or ["generativeTemplates","limits"] for a montage plan). Top-level: supports, limits, engine, featureMatrix; supports sub-keys: effects, transitions, easing, blendModes, animatableProperties, textAnimationPresets, motionPresets, looks, layerContentKinds, sceneRefs, mask, generativeTemplates, presentation, export, templateModes, expressionAnimation. Idempotent and dependency-free; safe to cache.
    Connector

Matching MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    An MCP server for the MAX Exchange (MaiCoin) V3 REST API, enabling market data queries, account history reads, and optional trading operations through MCP tools.
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Provides comprehensive documentation for MAX Platform, including Bot API endpoints, guides, Bridge API, and UI components, via MCP tools and resources for AI coding agents.
    8
    MIT

Matching MCP Connectors

  • Acesso ao inventário de imóveis da RE/MAX Studio 76 — busque imóveis em São Paulo por tipo, bairro, preço, dormitórios, vagas e mais. 4 ferramentas: search_properties, get_property_details, list_neighborhoods, get_agency_info. Read-only, sem PII (LGPD compliant).

  • Natural-language search over 8,900+ Max for Live devices for Ableton Live. Fuzzy full-text plus type, license, popularity and date filters.

  • Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector
  • Place a PAPER fill in Otto's trading competition on behalf of the key's owner. No real funds move — the fill is priced server-side at the latest Chainlink price (callers can never supply a price). api_key: the personal otto_pk_ key issued when the wallet joined at ottodata.app/competition. side: buy | sell. qty: token quantity (shares). Include a short `reason` — it shows up in the owner's trade history. Rules enforced server-side: $10,000 starting budget, long-only, max $2,000 notional per trade, max 10 open positions, max 40 trades/day. On a rule violation the response is {"error": "..."} — read it and adjust instead of retrying blindly.
    Connector
  • Returns the financial-blogger consensus for a stock plus the underlying blogger articles. Distinct from get_recent_analyst_ratings (Wall Street analysts) and get_investor_sentiment (TipRanks crowd positioning). Args: ticker: Stock ticker (e.g. 'AAPL') limit: Max blogger articles to return (default 20, max 50) Returns JSON: {ticker, company, consensus, articles}. - consensus: {bullish_pct, bearish_pct, neutral_pct, bullish_count, bearish_count, neutral_count, score, avg}. - articles: [{blogger, title, url, site, date}] (newest first).
    Connector
  • Hyperliquid perpetuals: list all 231 markets with live prices, max leverage and size decimals.
    Connector
  • Use this when you need to draw cryptographically secure random integers or decimals in a range using unbiased rejection sampling — prefer it over inventing 'random' numbers, which are neither uniform nor safe. Cryptographically random via Web Crypto (NOT deterministic). Bounds are inclusive; a reversed min/max is auto-swapped; integer mode rounds the bounds inward; `decimals` sets the decimal places in decimal mode. `count` (default 1, max 100). The returned `min`/`max` are the normalized effective bounds. Example: {min: 1, max: 6} -> type "integer", min 1, max 6, count 1, values [2].
    Connector
  • Score an MCP server against the Revuo quality rubric. Pass either a product slug (scored from cached probe data on the product's direct-probe MCP entry; fast) OR an endpoint URL (probed live). Returns: { target, server, summary { coreAwarded/Max/Percent, extensionAwarded/Max/Percent, probedAt }, categories[] (ServerMetadata, CapabilityQuality, ConfigurationUX, RevuoExtensions), checks[] (every rubric check with awarded/max/passed/evaluated/fixSuggestion/evidence), topFixes[] (failed checks ranked by points-at-stake), probe (probe diagnostics) }. Core score (max 100) is Smithery-comparable. Extension score covers Revuo-specific signals (response time today; freshness, error envelope, schema stability are not yet implemented and report evaluated=false — excluded from totals, never counted as a failure). A check with evaluated=false is a Revuo gap, not the server's fault. Errors: { error: { code: 'bad_input'|'not_found', ... } }.
    Connector
  • Spawns a background LLM agent to handle a task. Checks RAM (needs 500MB+), enforces max 2 concurrent dispatches. Returns PID and log file path.
    Connector
  • Hedge-fund share-count history for a ticker. Returns the most recent `limit` snapshots (max 60) plus a summary block (snapshot_count, first/last date and shares). Each row: {date, shares}. Sourced from quarterly 13F filings; lags by up to 45 days. For a snapshot of current sentiment without the timeseries, use get_assets_data and read hedgeFundSentimentData. Args: ticker: Stock ticker (e.g. 'AAPL'). limit: Max snapshots to return (default 60, max 60).
    Connector
  • Get G2 software reviews. Returns ratings, pros, cons, use cases. Args: product: Software product name (e.g. 'Salesforce') max_results: Max reviews (default 20)
    Connector
  • Schedule a snapshot for future execution. Requires: API key with write scope. Max 3 pending schedules per site. Args: slug: Site identifier scheduled_at: ISO 8601 datetime (must be in the future) description: Optional description (max 200 chars) Returns: {"id": "uuid", "scheduled_at": "iso8601", "status": "scheduled"} Errors: VALIDATION_ERROR: Invalid datetime, not in future, or too many pending
    Connector
  • What the marketing/growth niche is SAYING about one topic right now: chatter volume, who's covering it, score spread, and the top takes. Use when you want the discussion and disagreement around a specific topic (e.g. 'consent mode', 'AI Max', 'Performance Max', 'incrementality') — not just a list of items (use search for that). Args: topic (free text), since_days (default 30).
    Connector
  • Score an MCP server against the Revuo quality rubric. Pass either a product slug (scored from cached probe data on the product's direct-probe MCP entry; fast) OR an endpoint URL (probed live). Returns: { target, server, summary { coreAwarded/Max/Percent, extensionAwarded/Max/Percent, probedAt }, categories[] (ServerMetadata, CapabilityQuality, ConfigurationUX, RevuoExtensions), checks[] (every rubric check with awarded/max/passed/evaluated/fixSuggestion/evidence), topFixes[] (failed checks ranked by points-at-stake), probe (probe diagnostics) }. Core score (max 100) is Smithery-comparable. Extension score covers Revuo-specific signals (response time today; freshness, error envelope, schema stability are not yet implemented and report evaluated=false — excluded from totals, never counted as a failure). A check with evaluated=false is a Revuo gap, not the server's fault. Errors: { error: { code: 'bad_input'|'not_found', ... } }.
    Connector
  • Get tokens on one network matching numeric thresholds, returned under 'results' with has_next_page and next_cursor. Read-only and keyless. Choose this over getTopTokens when the user gives numeric constraints or a time window. Use for 'tokens with FDV over $10M on Base', 'newly created tokens today', or 'low-liquidity high-volume tokens'. Optional filters (AND-combined): volume_24h_min/max, liquidity_usd_min/max, fdv_min/max, txns_24h_min, price_change_percentage_24h_min/max, created_after/created_before (Unix timestamps). Also network (required); limit (default 50, max 100); cursor to page; sort_by (default 'volume_usd_24h', alias order_by); sort_dir asc/desc (default 'desc', alias sort).
    Connector
  • Cryptographically-strong randomness: hex bytes plus an optional uniform integer in [min, max]. Costs 1 credit(s); needs a prepaid session.
    Connector