"Understanding High-Level Control Systems" matching MCP tools:

• get_tropicalA

  Smarter WeatherA

  Active NHC (National Hurricane Center) tropical systems: forecast cones, track lines, forecast points, coastal watches/warnings, and 7-day Tropical Weather Outlook formation areas -- Atlantic + East Pacific. Each feature carries a kind (cone | track | points | watch_warning | outlook_area) plus storm name, intensity, and timing properties. include_geometry=true adds full GeoJSON geometries (large). An empty result means no active tropical activity. Aircraft reconnaissance fixes and flight-level observations are in `get_tropical_observations`. Example: {} or {"include_geometry": true}.

  ConnectorNo auth

• get_tropical_observationsA

  Smarter WeatherA

  Hurricane Hunter aircraft reconnaissance for active tropical systems: vortex data message (VDM) center fixes — pressure, max flight-level wind, eye — and high-density (HDOB) flight-level observations. These are aircraft measurements, not surface weather stations (use `get_observations` for METAR). Use `get_tropical` for NHC cones, tracks, and watches; this tool is what the aircraft measured. kind=hdob returns the newest 200 records (about 1–2 h of flight; `truncated` says when more exist). Empty when no aircraft has flown in the window.

  ConnectorNo auth

• get_dashaA

  Jagannatha Hora — Vedic Astrology (Jyotish, Kundli, Horoscope, Panchang)A

  Return a dasha (planetary period) timeline as a nested tree anchored on a date — past, present and future in ONE call. Works for BOTH planetary (graha) and sign (rasi) dasha systems; name the 'system' and the tool routes it automatically (default: vimsottari, anchored today, depth 3). Every period node has the same shape: 'level' (maha/antar/pratyantar/sookshma), 'ruler' (planet for graha, sign for rasi), 'start', 'end' (YYYY-MM-DD) and 'relation' (past/current/future). The result carries 'dasha_type' ('graha'/'rasi'), 'system', 'as_of', 'depth', a ready-made 'current' summary (with a 'path' and 'current_period_ends'), the full 'maha_timeline', and the expanded 'current_maha' → 'current_antar' → 'current_pratyantar' branches (rasi systems have two levels, no pratyantar; level 4 'sookshma' is graha-only). To drill into a SPECIFIC period regardless of date, pass 'maha' (and optionally 'antar') as a ruler name — it returns under 'selected_maha'/'selected_antar'. The full list of supported graha and rasi systems is the 'system' enum below. Set 'as_of_date' (YYYY-MM-DD, separate from birth 'date') to anchor on another time. Data only — no interpretation.

  ConnectorNo auth

• get_arena_rulesA

  Agent Canvas ArenaA

  CRITICAL STARTING POINT. Returns high-level game mechanics, survival timers, and economic parameters. Use this to understand how to win and avoid penalties.

  ConnectorNo auth

• deltasignal_risk_distributionA

  DeltaSignal ATLAS-7B

  Use this read-only tool to summarize the active crypto public company universe by ATLAS-7 risk tier. It returns risk-tier buckets such as HIGH, MODERATE, LOW, and UNCLASSIFIED with issuer counts and percentages. Parameters: none; call it exactly as-is when the user asks for market-wide risk mix or high-level distribution. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write external systems or access user accounts. Use it for market-wide context before issuer drilldown; use top_stressed to name the issuers in the high-risk bucket and use issuer tools for company-level analysis.

  ConnectorNo auth

• deltasignal_risk_distributionA

  DeltaSignal ATLAS-7C

  Use this read-only tool to summarize the active crypto public company universe by ATLAS-7 risk tier. It returns risk-tier buckets such as HIGH, MODERATE, LOW, and UNCLASSIFIED with issuer counts and percentages. Parameters: none; call it exactly as-is when the user asks for market-wide risk mix or high-level distribution. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write external systems or access user accounts. Use it for market-wide context before issuer drilldown; use top_stressed to name the issuers in the high-risk bucket and use issuer tools for company-level analysis.

  ConnectorNo auth

• hs_code_lookupA

  banking-intelligenceA

  Reverse-lookup an HS code → mapped export-control classifications (ECCNs). For customs brokers / shippers who have an HS (Harmonized System) code and need to know which export-control classifications may apply. Returns the mapped ECCNs with confidence levels, control reasons, sensitivity, and the governing international regime (Wassenaar, MTCR, NSG, etc.). A 4-digit HS heading is accepted, but mappings are richest at the 6-digit subheading level (e.g. "854231" rather than "8542"). An empty mapping list means no export-control mapping is on file for that code — it is NOT a guarantee the goods are uncontrolled; confirm with goods_classify or a formal classification. Args: hs_code: 4-6 digit HS code (e.g. "854231", "8411"). Dots/spaces are ok. jurisdiction: Optional filter — "US", "EU", "UK", or "JP". Examples: hs_code_lookup("854231") # semiconductors → 3A001 / 3A090 ... hs_code_lookup("841112") # turbojet engines → 9A001 ... hs_code_lookup("854231", "US") # US mappings only Use case: 'What export controls might apply to HS code 854231?'

  ConnectorNo auth

• simulateA

  🐴 GulltopprA

  Simulate a call and return success, gas, decoded return, and best-effort state diff / asset changes / logs. Provide a high-level call (address + function + args) or raw (to + data), never both.

  ConnectorNo auth

• list_controlsA

  MacTech CMMC / NIST 800-171A

  List NIST SP 800-171 Rev 2 requirements with their DoD Assessment Methodology (SPRS) weights, optionally filtered by control family name or by point weight (5, 3, or 1). Call this to enumerate the 110 CMMC Level 2 controls, to find all 5-point (highest-impact) requirements, or to see everything in one family such as Access Control. Returns identifiers and weights only - use lookup_control for one requirement's full text, or pass verbose to include every requirement's text at roughly twenty times the size.

  ConnectorNo auth

• list_26_systemsA

  mythsensus-mcpA

  Return the canonical list of 26 ancient divination systems Mythsensus implements (slug, English + Thai name, region, required inputs). Use first when asked "what systems do you support?".

  ConnectorNo auth

• propose_contextA

  Forge EngineA

  Propose a new/updated Idea note → Inbox. Title-match to update; send the COMPLETE revised text. Set resync:true ONLY when you rewrote the note FROM the current systems (get_stale lists notes the systems have moved past) — it stops the adopted note from immediately nagging to re-generate the systems it was just written from.

  ConnectorNo auth

• esg.portfolioA

  DPX — Institutional Cross-Border SettlementA

  Score an entire counterparty portfolio in one call (up to 200 entities by LEI or name). Returns portfolio-level composite E/S/G scores, tier distribution, aggregate fee surcharge impact in basis points, worst offenders (bottom 10% by composite), top performers, MiCA Article 72 ongoing monitoring status, and SFDR PAI flags. The canonical pre-settlement compliance check for treasury systems and TMS integrations.

  ConnectorNo auth

• geometric_confidenceA

  governance-platformA

  Summarize an already-computed state_vector into a confidence level (high/medium/low) with a recommendation. Post-hoc digest - use analyze_anomaly or check_drift for fresh analysis of raw data.

  ConnectorNo auth

• get_dashboard_statsA

  FavCRMA

  Get high-level business KPIs: member count, new members this week, active subscriptions, total points issued, active promotions, rewards redeemed, messages sent.

  ConnectorNo auth

• gbif_get_species_classificationA

  gbif-biodiversity-mcp-serverA

  Return the parent chain for a taxon — from kingdom (or domain) down to the immediate parent of the queried taxon — as an ordered array. Each entry has its rank, canonical name, and taxon key. The array is returned root-first (kingdom → phylum → class → … → immediate parent of the queried taxon); the queried taxon itself is not included — call gbif_get_species for its own record. Useful for building taxonomic trees or understanding placement without navigating the backbone level-by-level.

  ConnectorNo auth

• get_dashboard_statsA

  FavCRMA

  Get high-level business KPIs: member count, new members this week, active subscriptions, total points issued, active promotions, rewards redeemed, messages sent.

  ConnectorNo auth

• esg.portfolioA

  DPX — Institutional Cross-Border SettlementB

  Score an entire counterparty portfolio in one call (up to 200 entities by LEI or name). Returns portfolio-level composite E/S/G scores, tier distribution, aggregate fee surcharge impact in basis points, worst offenders (bottom 10% by composite), top performers, MiCA Article 72 ongoing monitoring status, and SFDR PAI flags. The canonical pre-settlement compliance check for treasury systems and TMS integrations.

  ConnectorNo auth

• ably_whoamiA

  ablyA

  Return details about the configured control token: the account and user it belongs to and its capabilities. Good first call to confirm control-plane access. Control API: GET /me.

  ConnectorNo auth

• get_current_kpA

  solarstormA

  Current planetary Kp index: latest value, level (low/moderate/high/severe) and the observed 24-hour maximum.

  ConnectorNo auth

• get_domain_overviewA

  harborrankA

  Returns a high-level view of a domain's organic footprint: estimated organic traffic, organic keyword count, backlinks, and referring domains. Use this first for domain research; for the detailed ranked-keyword list, call get_domain_keyword_suggestions next. Charges credits (~100-300 typical). Cached for 12 hours per domain.

  ConnectorOAuth

• get_ai_consensus_on_topicA

  Stratalize IntelligenceB

  Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite. $0.50 USDC per call.

  ConnectorNo auth