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255,053 tools. Last updated 2026-07-01 14:39

"namespace:com.mobile-text-alerts" matching MCP tools:

  • Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.
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  • Subscribe to a rate alert that fires when the best nightly rate for a PriceTik hotel property and stay window hits or drops below your target. A free API key is required (the watch is owned by your PriceTik account). When `webhookUrl` is omitted, the alert delivers via your PriceTik account — email + the pricetik.com dashboard — which is the right choice for end users in a chat client (no server endpoint needed). Supply an HTTPS `webhookUrl` only for developer/partner integrations that host their own endpoint. Free tier allows up to 3 active alerts; Pro+ raises the cap and unlocks webhook + auto-book delivery. Defaults expiresAt to checkIn minus 48 hours when omitted so abandoned alerts auto-expire ahead of the trip date. Pass an `Idempotency-Key` header to make retries safe (24-hour replay window). Manage alerts via pricetik_webhook_list, pricetik_webhook_delete, and pricetik_webhook_deliveries.
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  • Subscribe to verified programme-change alerts (price changes, launches, corrections — each linked to the official source). Agents: provide webhook_url (HTTPS POST on each change). Humans: provide email (explicit consent required). Optional programme_ids filter. Returns a subscription id + unsubscribe URL.
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  • Get real-time natural disaster alerts from USGS (earthquakes M5.0+), NOAA (hurricanes, tropical storms), and GDACS (global earthquakes, cyclones, floods, volcanoes). Returns active and recent events with magnitude, severity, coordinates, and affected country. Used by logistics planners and procurement teams to reroute shipments and activate contingency plans around seismic events, hurricanes, and floods affecting supply chain infrastructure.
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  • Call when the user asks about timing a decision for a specific date, or wants to pick the best day from a multi-day window. Covers trip dates, launch days, interview/meeting days, publish/send dates, travel, negotiation windows, relationship moments — any "when to X" question where the answer is a date ("should I X on April 23", "best day this month to Y", "下周四怎么样"). Modes: single date, compare up to 5 dates, or scan a range up to 31 days. Returns score (0-100), verdict, per-layer year/month/day breakdown (alerts + dimension signals), element breakdown, adverse alerts. For multi-month windows use `intentions_ask_month`; for hour precision use `intentions_ask_hour`.
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  • Call when the user asks about a full calendar year as a whole ("how is 2026", "今年怎么样", "what's next year like overall"). Returns year-level score, verdict, adverse alerts, and element dimensions. For month precision use `intentions_ask_month`; for day use `intentions_ask_day`. Window: currentYear-1 to currentYear+1 only.
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Matching MCP Servers

Matching MCP Connectors

  • The Mobile Text Alerts SMS MCP server enables your AI to send SMS messages & manage contacts

  • Active weather alerts and warnings from the National Weather Service

  • Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use extract_url instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."
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  • Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use extract_url instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."
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  • Task-scoped context briefing. Returns a prioritised context payload shaped by your task description, ranked by risk-if-missed. Constraints and alerts rank above general knowledge. Use at the START of reasoning about a question to get the system's best assessment of what's relevant. Complements query_memory: this gives breadth, query_memory gives depth.
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  • Check Pipeworx platform health and availability. Returns pack count, active tool count, and any service alerts. Use to verify system status before operations.
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  • Subscribe to movement alerts for a DCPI market (FREE with a key) — get notified when its Excess-Power / Constraint score moves. On the free tier, email alerts are delivered to the email your human bound via bind_email (call bind_email first; the destination is forced to that address). Set channel="email". Webhook delivery (channel="webhook" + destination=<https URL>) is Pro. Lets an agent MONITOR markets, not just query them. Try: set_market_alert market=northern-virginia channel=webhook destination=https://hooks.example.com/dc. Do NOT use to read a market right now (use get_market_dcpi_rank); this SUBSCRIBES to future movement.
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  • Golden Alerts history (daily summaries) — Returns a daily summary of Golden Alerts for the last N days (default 30, max 180). Each day's entry includes the total alert count plus a breakdown by severity (high/medium/low) derived from alert confidence scores (≥75 = high, ≥50 = medium, <50 = low), and the top tokens that appeared most frequently in alerts that day. Backfilled from 17 days of real signal_history data (confidence scores from 49,000+ on-chain signals). Data is persisted once per 5-min alert cycle via ON CONFLICT DO UPDATE so each day's entry reflects the latest alert state at last refresh. Days with no data are omitted from the history array. Use ?days=N to control the look-back window (1–180, default 30). Cached 5min.
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  • Golden Alerts permanent monthly archive — Returns the permanent monthly archive of Golden Alert activity — one row per calendar month, aggregated from daily snapshots before they are purged. This archive is never deleted and grows indefinitely, providing AI agents with long-term trend data on alert severity and top tokens across months and years. Each month includes: totalCount (total alerts that month), highCount/mediumCount/lowCount (severity breakdown), topTokens (5 most-active tokens), daysInMonth (days with data), avgPerDay (daily average). Months with fewer than 20 daily records are excluded to ensure statistical accuracy. Data source: CryptoWhaleInsights own signal_history database (49,000+ on-chain signals). No authentication required. 60 req/min. 5-min cache.
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  • Get full details of a specific NWS weather alert by its ID. Returns the complete alert including description, instructions, and affected areas. Use alert IDs from get_alerts results. Args: alert_id: The full NWS alert ID (e.g. 'urn:oid:2.49.0.1.840.0.xxx').
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  • Is it safe to deploy these changes? Cross-references your changed modules against active constraints, recent incidents, knowledge freshness, and active alerts. Returns a composite verdict (ready/caution/block) with per-module breakdown and actionable recommendations. Use BEFORE deploying to catch constraint violations, recent regressions in the same area, stale knowledge that needs verification, and active alerts that might interact with your changes.
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  • List all campsite availability alerts for an Outdoorithm user. Requires an Outdoorithm API key (generate at outdoorithm.com/dashboard/api-keys). Args: api_key: User's Outdoorithm API key from their dashboard settings. status: Filter by alert status. One of: "active", "paused", "expired", "error", or "permanent_error". Omit to return all alerts.
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  • Subscribe the user to alerts for new Cyclesite listings matching a filter — the AI assistant will then proactively notify them when a matching bike appears (price drop or fresh listing). Requires OAuth scope `listings:read` (read-only on data, but this is technically a write — it creates a SavedSearch row on the user's account). Examples: 'let me know when a Trek Domane SL 6 in Manchester under £2,000 appears', 'alert me to any e-MTB drops below £2,500 in Yorkshire'. Each user is capped at 50 active alerts.
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  • Fetches active alerts from api.weather.gov filtered by area (2-letter state code), exact NWS event name, severity, urgency, and status. Returns id, event, severity, urgency, certainty, headline, description, areaDesc, sent/effective/expires/ends, sender_name, web URL. 60s cache. US Government public domain. US-only coverage. Use for situational awareness on active weather hazards.
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  • Paginated newest-first listing of the caller's alerts (id, condition, channel, status, trigger_count, evaluator health). Filter by `status` (active/paused/deleted/all). Use the returned alert id with delete_alert or test_alert. Tier: sp500+ (sample rejected).
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  • Soft-delete an alert by its id (from create_alert/list_alerts): status flips to `deleted` and it is removed from the cron evaluator index so it stops firing. Alerts are immutable — to change one, delete then create_alert. Idempotent. Tier: sp500+ (sample rejected).
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