"Methods for Accessing Real-Time Data Using Chrome" matching MCP tools:

• 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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• now

  tick-mcp

  Get the REAL current date and time. Call this at the start of a reply and before using any relative time words (yesterday, tomorrow, tonight, next week). Never guess time from context. NEVER write a clock time in your reply that did not come from this tool's output in THIS turn — a timestamp without a fresh call is a hallucination, even if it plausibly continues from an earlier one. ALWAYS pass the user's IANA timezone — this server is remote, so without it you get UTC, not the user's local time.

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• lora_airtime

  calc.engineer

  Calculates LoRa packet time-on-air using the Semtech AN1200.13 formula. Computes symbol duration, preamble time, payload symbol count, effective data rate, and the minimum transmission interval for 1% duty cycle compliance. Essential for capacity planning in LoRaWAN and Meshtastic mesh networks. Accepts spreading factor (SF7-SF12), bandwidth (125/250/500 kHz), coding rate (4/5-4/8), payload size, header mode, CRC, and optional low data rate optimization. Feeds airtime_ms to channel_utilization for mesh load analysis.

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• get_grid_data

  DC Hub — Data Center & Power Intelligence

  Real-time electricity grid data for the 7 US ISOs (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE) via EIA hourly RTO: fuel mix, demand, 24h demand curve. Pass iso=PJM (any of the 7). Raw real-time telemetry for one ISO; do NOT use for power-availability, time-to-power or interconnection-queue analysis (use get_grid_intelligence), nor for retail/gas pricing detail (use get_energy_prices). For non-US grids (GB, EU bidding zones, Taiwan, Australia) use get_grid_scoreboard.

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• queryPointInTimeMetrics

  Cortex

  Execute point-in-time queries for one or more engineering metrics. Returns current metric values for specified time periods, with support for batch queries and optional period-over-period comparisons. Time range (startTime/endTime) cannot exceed 6 months (180 days). PREREQUISITES - Follow this workflow: 1. Discover all available metrics ONCE: Call listMetricDefinitions (view='basic') - cache this response 2. Get metric query metadata ONCE per metric: Call listMetricDefinitions (view='full', key=METRIC_KEY) - supportedAggregations: Valid aggregation methods - orderByAttribute: Attribute path for sorting by metric values - groupByOptions[].key: Valid groupBy keys (use exact values, do NOT guess) - filterOptions[].key: Valid filter keys (use exact values, do NOT guess) Cache the full view response for each metric. Reuse the metadata from cached responses for subsequent queries on the same metric. 3. Construct query: Use the query metadata from the full view responses in step 2 to build valid point-in-time requests IMPORTANT: Cache only results from listMetricDefinitions. Do NOT cache point-in-time query results - always execute fresh queries for current data. Only refresh cached listMetricDefinitions responses if no longer in your context window or explicitly requested. Do NOT guess attribute names - always use exact values from listMetricDefinitions responses. Response includes: - Lightweight metadata: Column definitions optimized for programmatic use - Row data: Actual metric values and dimensional data - No heavy schemas: Source definitions excluded (get from listMetricDefinitions instead) Error responses: - 400: Invalid metric names, date range, validation errors, or unsupported metric combinations - 403: Feature not enabled (contact help@cortex.io)

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• get_payment_options

  Headless Oracle

  Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

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• get_engineering_leadership_benchmarks

  eng-leadership-toolkit

  Real benchmarks from 3,400+ paid 1:1 mentoring sessions with 300+ engineering leaders since 2019: mentee seniority mix, most-demanded leadership topics of 2025, time-to-results, team-health delivery thresholds (sprint completion, roadmap %, manager time per report), and practice outcome stats (NPS, referral rate). First-party data, CC BY 4.0 — citable.

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• get_last_liquidation

  AgentFeed

  FREE taster: last liquidation for SOL, BTC, ETH, XRP and DOGE (15-min delayed). Real-time via get_recent_liquidations. Free.

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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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• meetlark_get_results

  mcp-server

  Get poll details and available time slots using a participation token. Returns the poll title, description, status, and time slots -- but NOT votes or participant data. This is the view a participant sees before voting. To see who voted and how, use meetlark_get_admin_view instead.

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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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• data_list_orders

  Kash.click

  List either: unvalidated orders (called quotes) with creation date between from_date_ISO8601 and to_date_ISO8601 OR validated orders (called orders, invoices) with date of value between from_date_ISO8601 and to_date_ISO8601. You can also filter delivery methods (using filterDeliveryMethod).

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• onebusaway_get_schedule_for_stop

  onebusaway-mcp-server

  Full-day departure schedule for a stop. Lists every departure by route and direction for the specified date (defaults to today). Useful for planning or when real-time data isn't needed. For live predictions, use onebusaway_get_arrivals instead.

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• get_stock_quote

  Yahoo Finance MCP Server

  Fetch the current stock market quote for an individual ticker symbol. Returns real-time price, intraday change (dollars and percentage), trading volume, market capitalization, P/E ratio, earnings per share, dividend yield, and 52-week high/low. Use for real-time price monitoring, investment decisions, or financial dashboards.

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• get_data_freshness

  SG Property Data

  Get metadata about when this dataset was last calculated and what period of sale/rental data it covers. Call this before presenting any number as 'current' - the underlying data is refreshed monthly, not in real time.

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• nonprofit_get_filings

  nonprofit-explorer-mcp-server

  All Form 990 filings for a tax-exempt org by EIN: year-by-year revenue, expenses, assets, liabilities, net assets, revenue breakdown, executive compensation, and source PDF links. Use for trend analysis, due diligence, and accessing primary 990 documents. The filing year (tax_prd_yr) is the fiscal year of the return — data lags 1–2 years; always cite the year. An organization that resolves but has filed no 990 returns an empty filings array with a notice, not an error. Also returns filings_pdf_only — older filings with a PDF but no extracted financial data. Data from ProPublica Nonprofit Explorer, sourced from IRS Form 990 filings.

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• search

  library

  Search the RRM Academy research library. Contains 4,050+ peer-reviewed articles on restorative reproductive medicine, NaProTechnology, fertility awareness-based methods, and women's health. ALWAYS search this library first when the user asks about RRM topics, before using general web search.

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• create_session

  WebRun Browser Automation

  Create a persistent session in a real Chrome browser running in a WebRun cloud environment (docs.webrun.ai), for multi-step workflows. Returns a sessionId for subsequent commands. With an initial task the browser may act on third-party websites immediately.

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• agent_economy_venue_intelligence

  01Mind

  Real, sourced intelligence on which agent-to-agent venues actually work for autonomous agents today -- genuinely live and ungated versus human-gated, dead, or structurally broken. Kept current via real, automatic web research, not a one-time snapshot. A free single-venue summary is available at GET /venue-intelligence/quick-check before you buy. Priced at $15/call via the x402 protocol -- an unpaid call returns a real HTTP 402 payment challenge; retry with a valid X-PAYMENT (or PAYMENT-SIGNATURE) header to receive real data.

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• supply_chain_risk_assessment

  SupplyMaven MCP Server

  Assess current global supply chain disruption risk. Returns the Global Disruption Index (GDI) — a real-time composite score from 0-100 measuring disruption across transportation, energy, materials, and macroeconomic pillars. Higher scores indicate greater supply chain risk. Built from 200+ live data variables including port congestion at 26 global ports, commodity prices for 31 assets, US border crossing delays, manufacturing output from 8 power grid regions, and Federal Reserve economic indicators. Used by procurement teams, logistics planners, commodity traders, and supply chain managers for real-time supply chain visibility and risk monitoring.

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