"Real-time trading and chart data service" matching MCP tools:

• onebusaway_get_arrivals

  onebusaway-mcp-server

  Real-time arrivals and departures at a stop. Returns predicted arrival times, schedule deviation (how many seconds late/early), vehicle positions, and any active service alerts. The predicted boolean on each arrival indicates whether GPS tracking backs the estimate — predicted=false means schedule-only. Use tripId from results for follow-up onebusaway_get_trip calls. Stop IDs use agency-prefixed format: {agencyId}_{localId} (e.g. "1_75403").

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• x402_check_wash

  x402watch

  Get the aggregate wash-report dataset: 30-day total active buyers, real-volume %, suspected_wash and self_test counts, full 8-label distribution, 14-day wash percentage time series, and five anonymized case studies (Service A through E) with pattern signals. For per-address real-time wash analysis with full signal breakdown, use the paid POST /api/v1/wash/check HTTP endpoint ($0.05 USDC) — that endpoint speaks x402, agents pay and receive data in a single HTTP round-trip. Free tier. No payment required. Returns wash-filtered data using the same v2.0 algorithm as the paid endpoints.

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• birth_chart

  Celestine

  Use when you need the full natal chart for interpretation, comparison, or downstream transit/progression work. Returns planets, houses, aspects, patterns, dignities, and Big Three. `detail="compact"` drops the per-aspect details (keeps `aspects.summary` counts) and per-pattern planet lists — saves ~15k tokens on a typical chart, useful when you only need placements + angles. Next step: if you need aspect-by-aspect narrative material, call with `detail="full"`; for transits to this chart, call `current_transits` or `transit_search` with the same birth data.

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• list_chart_types

  Bridge Town

  List all available dashboard chart types and their required data schemas. Call this before create_dashboard to discover which chart types are supported and what keys your model output must contain for each type. No project access required — returns static metadata only. Note: MCP transport authentication is still required (POST /mcp requires a valid JWT).

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• get_health

  web3-signals

  Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.

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• get_arc_trading_signal

  Toolora

  Fetch a live Solana DEX divergence trading signal from Soliris Arc — the agent-to-agent data market built on Arc (Circle's L1 blockchain). Each signal costs $0.001 USDC paid automatically on-chain via the x402 protocol. Signals identify real-time arbitrage spreads across Raydium, Orca, Jupiter, and Meteora. This is the agentic economy in action: your AI pays another AI for data, settled in under 1 second, no humans in the loop. Use demo=true to get a sample signal without payment. For live signals the API returns a 402 with payment details. Powered by Soliris (soliris.pro).

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• shippingrates_vessel_schedule

  FreightGate MCP Server

  Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.

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• get_platform_stats

  ENTIA Entity Verification

  Get real-time ENTIA platform statistics: total registered entities, country coverage, active data sources, and published Entia Homes. Note: total_entities is the full registry; only ~79K pass the Quality Gate for full publication. Cached 1h server-side. No API key required.

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• polymarket_top_traders

  Alya Hub

  Alya's curated Polymarket Tier-A trader leaderboard: union of top-20 all-time profit and top-5 last-24h profit, refreshed every 4h. Each row includes wallet, window (1d/all), rank, and lifetime USD profit. Use to construct your own copy-trading watchlist.

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• x402_get_categories

  x402watch

  List all 33 x402 service categories with aggregate stats: services count, 24h volume, transaction count, real-volume %, and label distribution. Use this to understand the shape of the x402 ecosystem before drilling into specific services or wallets. Free tier. No payment required. Returns wash-filtered data using the same v2.0 algorithm as the paid endpoints.

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• wsdot_get_vessel_locations

  wsdot-mcp-server

  Returns real-time AIS positions, speed, heading, ETA, and dock status for all active WSF vessels. Use for "where is the ferry now?", vessel tracking, or checking if a vessel is in service. Position data may lag by 30–60 seconds. Many fields are null for vessels not currently operating.

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• get_trade_history

  OneQAZ Trading Intelligence

  Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). When to call: past trade review, single-symbol post-mortem, win-rate audits. Prerequisites: none. Next steps: analyze_trades, market://{market_id}/signals/feedback. Caveats: paper-trading data only (not real money). limit capped at 1000. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 1000) action_filter: Filter by action (all, buy, sell) min_pnl: Min P&L % filter (e.g., -5.0) max_pnl: Max P&L % filter (e.g., 10.0) hours_back: Only trades within last N hours symbol: Filter by ticker symbol (e.g., "BTC", "AAPL"); case-insensitive Disclaimer: Information only, not investment advice.

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• chart_aq_trend

  Hermes — Air Quality Intelligence

  Generate a time series chart of air quality data. Returns a PNG chart image with a brief text summary. Use this when users ask about trends, patterns, or want to visualise air quality over time. Args: start_date: Start date (ISO format, e.g. "2025-01-01"). end_date: End date (ISO format). location: Postcode, place name, or "lat,lon". Provide this or site_code. site_code: Direct site code. Provide this or location. pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Defaults to NO2, PM2.5, PM10, O3 if not specified. frequency: "hourly", "daily", or "monthly" (default "daily"). show_who_guidelines: Show WHO guideline reference lines (default True). show_daqi_bands: Show DAQI band background shading (default True).

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• get_component

  petal-components-mcp

  Get the full schema for one petal_components component: attrs, slots, defaults, allowed values, and a working HEEx usage example. Call this every time you are about to write a tag like <.button>, <.modal>, <.table>, or <.field> so the attrs and slots match the real library instead of training-data guesses.

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• x402_check_wash

  x402watch

  Get the aggregate wash-report dataset: 30-day total active buyers, real-volume %, suspected_wash and self_test counts, full 8-label distribution, 14-day wash percentage time series, and five anonymized case studies (Service A through E) with pattern signals. For per-address real-time wash analysis with full signal breakdown, use the paid POST /api/v1/wash/check HTTP endpoint ($0.05 USDC) — that endpoint speaks x402, agents pay and receive data in a single HTTP round-trip. Free tier. No payment required. Returns wash-filtered data using the same v2.0 algorithm as the paid endpoints.

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• realtime_data_streams

  mcp-knowledge

  High-frequency real-time market data for trading agents, market-making bots and fintech analysts. Returns FX ticks (bid/ask/spread), intraday OHLCV candles, crypto orderbook snapshots (depth 5-50), recent trades with VWAP, and sovereign bond yields. All sources are keyless public REST APIs (Binance, Coinbase, Kraken, OKX, open FX feeds, worldgovernmentbonds.com). Ultra-short cache: 10s for ticks/trades, 60s for orderbook. Use when an agent needs live market data as precise numeric inputs for trading logic, arbitrage detection, or portfolio valuation.

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• rate_service

  paycrow

  Rate a completed escrow. After escrow_release, rate the seller's service quality (1-5 stars). This builds the reputation data that makes PayCrow's trust scores meaningful over time. Both sides can rate: buyer rates seller's service quality, seller rates buyer's conduct. Ratings are on-chain and permanent — they feed directly into trust scoring.

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• plot_line_chart

  Math MCP Learning

  Create a line chart from data points (requires matplotlib). Note: Use for general XY data. For time-series price data with optional moving average, use plot_financial_line instead. Examples: plot_line_chart([1, 2, 3, 4], [1, 4, 9, 16], title="Squares") plot_line_chart([0, 1, 2], [0, 1, 4], color='red', x_label='Time', y_label='Distance')

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• get_ticker_summary

  Gloria AI

  Get a 24-hour AI-generated summary for any crypto ticker or topic (paid via x402). Returns decision-grade bullet points combining Gloria's curated news with real-time web search. Designed for fund managers and trading agents. Payment is handled via the x402 protocol using USDC on Base network. This tool returns the payment endpoint and instructions.

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• realtime_data_streams

  gapup-mcp

  High-frequency real-time market data for trading agents, market-making bots and fintech analysts. Returns FX ticks (bid/ask/spread), intraday OHLCV candles, crypto orderbook snapshots (depth 5-50), recent trades with VWAP, and sovereign bond yields. All sources are keyless public REST APIs (Binance, Coinbase, Kraken, OKX, open FX feeds, worldgovernmentbonds.com). Ultra-short cache: 10s for ticks/trades, 60s for orderbook. Use when an agent needs live market data as precise numeric inputs for trading logic, arbitrage detection, or portfolio valuation.

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