"VEED" matching MCP tools:

• research_papers

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  Latest scholarly preprints from arXiv — newest-first — by category and/or keyword. Returns up to 15 papers, each with: title, authors, truncated abstract, primary + all categories, published/updated dates, arXiv id, abstract URL, PDF URL, and DOI / journal reference when a published version exists. `category` = an arXiv taxonomy term (default "cs.AI"). Common ones: cs.AI (AI), cs.LG (Machine Learning), cs.CL (NLP/LLMs), cs.CV (Computer Vision), cs.RO (Robotics), cs.CR (Security), stat.ML, cs.MA (Multiagent). Any valid arXiv category works — see arxiv.org/category_taxonomy. `query` = optional free-text keyword/phrase, AND-combined with the category. Source: arXiv API (Cornell University) — descriptive metadata is CC0 1.0 public domain (keyless, commercial use permitted). arXiv is a PREPRINT server; most papers are not peer-reviewed.

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• scholarly_search

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  Fact-check the published scholarly record via OpenAlex — METADATA ONLY, NO prices. `query` = free text/topic ("CRISPR gene editing") OR a DOI / doi.org URL for an exact-work lookup. `sort` = "relevance" (default) | "citations" | "newest" | "oldest". `limit` = max works (default 10, cap 25). Each work returns its citation count, open-access status + URL, publication venue + type, year/date, work type, lead authors (up to 5) + total author count + lead institution, references count, retraction flag, and the work's own OpenAlex record-update time. Spans 240M+ works across every publisher (journals, conferences, books, datasets, preprints), so it answers "does this paper exist / how cited is it / is it open access / where was it published / who wrote it" — which a training snapshot gets stale or hallucinates. DISTINCT from research_papers (arXiv preprints only, newest-first abstracts): different source (OpenAlex), cross-publisher, citation/OA/venue metadata — no abstracts, no full text. Source: OpenAlex (api.openalex.org, OurResearch), data is CC0 1.0 public domain; keyless (polite pool), ~6 h cache. HARD CONSTRAINT: every value is bibliometric metadata (a citation count, year, OA status, venue, author) — NEVER a market price, quote, or valuation.

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• security_advisories

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  Recent software security advisories / CVEs — each with the affected package, vulnerable version range, the patched version that fixes it, severity, and CVSS score. Use this to check if a package has a recent advisory, or to get the latest critical CVEs. Pairs with software_version (is my stack current AND safe?). Newest first. Source: GitHub Advisory Database. Note: covers recently-published reviewed advisories, not the full historical CVE corpus. Envelope: this is an EVENT feed, so checked_at = when WE last refreshed the advisory store (freshness reflects how current our mirror is, NOT how long since the last CVE — a quiet stretch is not stale data). The newest advisory's own age is surfaced as latest_advisory_age_s. Args: query: match summary / package / CVE id / GHSA id. package: affected package name (e.g. lodash, requests, log4j). ecosystem: npm | pip | maven | go | rubygems | nuget | composer | rust | ... severity: low | moderate | high | critical. min_cvss: minimum CVSS score (0-10). limit: max results.

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• global_indicator

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  A flagship development statistic from Our World in Data: the latest value for a country plus a short multi-year trend, with full source attribution. ONE source, MANY indicators (breadth) — CO2 per capita, population, fertility, urbanisation, GDP-per-capita (a development stat in PPP, NOT a market price), extreme poverty, R&D spend, Human Development Index, literacy, internet access, electricity access. Distinct from `global_macro` (World Bank): OWID adds the long-run development + climate set. `indicator` = a slug/alias from the curated allowlist (default "co2-emissions-per-capita"; aliases: co2, pop, gdp, hdi, literacy, internet, poverty, fertility, urban, rd) — call indicator="list" for the full menu. `country` = ISO-3 code (AUS, USA, CHN, GBR, IND, …); omit for the World aggregate. Source: Our World in Data (ourworldindata.org) — OWID's processing layer is CC BY 4.0, keyless; every response carries BOTH OWID's attribution AND each underlying producer's citation + licence. Only indicators whose underlying sources are cleared for commercial re-serving (CC BY / CC BY IGO / CC0 / public domain) are served — a fail-closed runtime gate refuses any non-redistributable indicator. Annual-ish statistics, not a live-telemetry feed.

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• carbon_intensity

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  Great Britain grid carbon intensity right now (gCO2/kWh + index) + the live fuel mix + the cleanest upcoming half-hour from the 24h forecast. Use to time energy-heavy work / answer "is the grid clean now?". Keyless, CC-BY. GB only — see grid_carbon for Australia (per-NEM-state) + GB.

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• ocean_buoys

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  Live marine observations from NOAA NDBC ocean buoys — significant wave height & period, wave direction, wind speed/direction/gust, barometric pressure (+ 3-hour tendency), air & water temperature, dewpoint and visibility, each with the buoy's own observation timestamp + age. `station` = an NDBC station id (e.g. "46059", "51001", "41001") -> that one buoy. `near` = "lat,lon" (e.g. "37.7,-123.0") OR a coast preset (us west coast, us east coast, gulf of mexico, hawaii, alaska, great lakes, pacific nw, new england, florida, california, korea) -> the nearest reporting buoys (up to `limit`, default 5). No args -> a sensible default open-ocean buoy. Single bulk-file fan-out: NDBC's whole-network latest_obs file is fetched once and indexed (~1,300 stations), so every lookup is served from cache. COVERAGE: NDBC is a NOAA/US network — no Australian buoys (run by BoM/AODN). Observational data only — not a substitute for an official marine forecast/warning. Source: NOAA NDBC (ndbc.noaa.gov) — US government public domain (17 U.S.C. § 105), keyless.

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• water_levels

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  Real-time US river levels — gage height (ft) + streamflow/discharge (ft3/s) from USGS NWIS (keyless). US only — see au_water for the Australian (BoM Water Data Online) counterpart. Use for "how high / how fast is river X right now", flood risk (rising gage) or drought (low flow). Provide a 2-letter US `state`, USGS `site` number(s) comma-separated, or neither for major rivers. Args: state: 2-letter US state code (e.g. TX, CA). site: USGS site number(s), comma-separated. limit: max sites.

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• flood_forecast

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  5-day river-discharge FORECAST near an Australian location — Copernicus CEMS Global Flood Awareness System (GloFAS, operational LISFLOOD control run), retrieved daily from the CEMS Early Warning Data Store and served from cache (the answer is instant — never waits on the CDS queue). The forward-looking sibling of au_water: au_water = what AU rivers are DOING (live gauges), flood_forecast = what the global model expects them to do over the next 5 days. Returns the strongest modelled river cell within ~90 km: 24 h-mean discharge (m3/s) per day for ~5 days, the peak value + day, and a rising/falling/steady trend; values are the MAX within ~25 km (0.25-deg max-pooled) cells. `location` = an AU preset ("brisbane" default, "sydney", "melbourne", "adelaide", "hobart", "darwin", "canberra", "perth") or a "lat,lon" string; explicit `lat`/`lon` override. Raw model guidance ONLY — no flood thresholds or severity classifications are added, and this is NOT a flood warning; official AU flood warnings/watches are issued by the Bureau of Meteorology at bom.gov.au/australia/warnings. Attribution: contains modified Copernicus Emergency Management Service information.

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• package_health

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  Health & security posture of a software package (npm / PyPI / Go / Maven / Cargo / NuGet / RubyGems) from deps.dev (Google Open Source Insights, keyless): latest version, license, count of known security advisories, the OpenSSF Scorecard (0-10 security-posture score for the source repo + its weakest checks) and popularity (stars/forks). The "should I depend on this?" check — pairs with check_vulnerability (is a version vulnerable) and software_version (is the runtime current). Args: package (e.g. "lodash", "requests"), ecosystem (npm|pypi|go|maven|cargo|nuget|rubygems), version (optional — defaults to the latest).

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• public_holidays

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  Public / statutory holidays for a country (and optional state/province/region) in a given year — computed in-house, NOT scraped, so it's exact and offline-stable. Per holiday: date, name, weekday, whether it's an observed-day shift, the country, and the subdivision (when one was requested), plus the next upcoming holiday. `country` = ISO-3166 alpha-2 code (default "AU"); common names accepted ("australia", "usa", "uk", "new zealand"). 100+ countries. `year` = 4-digit year (default = current year). `subdiv` = optional subdivision code for region-specific holidays — e.g. "NSW"/"VIC"/"QLD" for AU, "CA"/"NY" for US, "ENG"/"SCT" for GB; national-level only if omitted (state lists are richer). Pairs with `market_hours`. Holiday DATES are non-copyrightable facts; computed via the open-source `holidays` library (vacanza, MIT) — commercial use + redistribution permitted, keyless. Informational only — confirm against the official gazette for legal/payroll use.

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• species_occurrences

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  Recent species occurrence records from GBIF (Global Biodiversity Information Facility) — individual field observations and museum specimens of where/when a species has been recorded. Each record: species + scientific name, lat/lon, date, country, source dataset (+ GBIF citation), recorder, and basis-of-record (human observation, preserved specimen, etc.). `query` = a common name ("koala", "great white shark", "platypus") or scientific name ("Phascolarctos cinereus"); resolved against the GBIF backbone taxonomy. `near` = "lat,lon" to restrict to records within ~100 km of that point (e.g. "-27.47,153.02" for Brisbane). Keyless GBIF.org API. COMMERCIALLY CLEARED: filtered server-side to CC0 + CC BY 4.0 records only; CC BY-NC records are excluded. OCCURRENCE data only — not a population census or range map; coverage is sampling-biased and absence of records does not mean absence of the species. Source: GBIF.org API v1 — CC0 1.0 + CC BY 4.0 (per record).

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• internet_outages

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  Live BGP routing health for a network resource — an ASN (e.g. "AS3215"), an IP ("8.8.8.8"), or a prefix ("193.0.0.0/22") — from RIPEstat (RIPE NCC's open routing-information service). Returns global visibility (how many of RIPE's route collectors currently see the resource) + an outage signal: healthy ≥0.9 · degraded ≥0.5 · outage <0.5. A sharp visibility drop = the network is losing global reachability. Use for "is network/ASN X reachable right now?". Pass `resource`.

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• air_quality_fusion

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  Cross-validated air quality — TWO independent networks reading the same sky: the Open-Meteo CAMS model (the existing air_quality source) vs real ground monitors via OpenAQ v3 (government reference stations), with a per-pollutant (PM2.5, PM10, O3, NO2) agreement verdict (high/moderate/low/divergent), both values + the delta, and station distance/freshness caveats — the two numbers are never blended. `location` = an AU preset ("brisbane" default, "sydney", "melbourne", "perth", "adelaide"), any city name (geocoded), or a "lat,lon" string; explicit `lat`/`lon` override. Complements air_quality (single-network AQI). If one network is down the result degrades honestly to single-source (agreement: "unverified"). Stations whose licence disallows commercial use are auto-excluded via OpenAQ's machine-readable licence flags; per-station provider attribution + licence carried in provenance.

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• transit_status

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  Live transit service alerts & line status from connected GTFS-RT transit feeds — answer "is my line/service disrupted right now?". Coverage varies by agency as feeds are wired in; lines or services with an active alert are listed first. Use `only_issues=true` to cut to active disruptions. Args: query: match a line/system/description (e.g. "victoria", "detour"). system: filter by transit system/agency. city: filter by city. only_issues: only lines/services with an active alert. limit: max results. Envelope: this is a live transit probe, so measured_at = when WE last aggregated the freshest returned line (each row's `updated_at`); max_age 30 min covers the 15-min refresh slot, so a current board reads "live". An empty result (no matching line) yields unavailable.

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• sea_ice

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  Latest daily Arctic + Antarctic sea-ice extent (million km²) from the NSIDC Sea Ice Index (G02135, v4): current extent + date per pole, change vs the prior week, and the same calendar day ~10 years earlier. region = "arctic" | "antarctic" | "both" (default "both"). Extent = ocean with ≥15% ice concentration; near-real-time values are provisional, ~1-2 day lag. The headline polar-climate indicator behind Arctic shipping seasons and climate-risk posture. Public domain (NOAA@NSIDC), citation carried in provenance.

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• au_water

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  Australian river heights + gauge rainfall near any AU location — live CC-BY-licensed gauge observations from the Bureau of Meteorology's Water Data Online (keyless KiWIS API); the Australian counterpart of water_levels (US USGS). Per station: latest river level (m) with a ~3 h rising/falling/steady trend, or rainfall totals (mm over 1/6/24 h ending at the latest reading), plus real observation timestamps + ages, distance, the data owner and the exact attribution string. `location` = an AU preset ("brisbane" default, "sydney", "melbourne", "adelaide", "hobart", "darwin", "canberra", "perth") or a "lat,lon" string; explicit `lat`/`lon` override. `kind` = "river" | "rain" | "both". Only stations whose data owner is CC-BY-listed (Table 1) in the BoM rain/river licensing statement are served — per-station owner attribution carried in provenance, exclusion counts reported, WA coverage honestly partial. Observational data ONLY — not a flood warning product; official flood warnings/watches are issued by the Bureau at bom.gov.au/australia/warnings.

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• search_ai_models

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  Search current AI models by price, context window, and capability. Use this for up-to-date model pricing/features you don't reliably know. Prices are USD per 1M tokens. Results are cheapest-input-price first. Args: query: match part of a model name/id (e.g. "haiku", "gpt"). provider: filter to one provider (openai, anthropic, google, xai, mistral, deepseek, groq). max_input_price: only models at or below this USD/1M input price. min_context: only models with at least this context window (tokens). needs_vision: only models that accept images. limit: max results. Envelope: this searches our model-pricing registry, so measured_at = when the freshest matching row was last refreshed (each row's `updated_at`); max_age 18h covers the 12h registry-refresh cycle so a current row never falsely reads "stale". A search returning nothing yields unavailable — there's no honest observation time to claim.

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• au_economy

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  Official AUSTRALIAN economic indicators from the Australian Bureau of Statistics Data API (SDMX) — STATISTICS ONLY, NO prices. `indicator` = "cpi" (annual inflation, default) | "cpi_quarterly" | "unemployment" | "wages" | "gdp". Returns the latest value (a %), its real ABS reference period (e.g. 2026-Q1 / 2026-04), the unit/description, and a short trend (latest vs prior). CPI annual inflation is DERIVED by us from the All-groups CPI index (ABS publishes the index, not the annual rate, as its series) — flagged `derived: true` with the index alongside for checking; unemployment, wage growth (WPI) and GDP growth are ABS's own published rates. Source: Australian Bureau of Statistics (data.api.abs.gov.au), CC BY 4.0; keyless, ~12 h cache (ABS releases monthly/quarterly). HARD CONSTRAINT: every value is an official statistic/index/rate (CPI index, inflation %, unemployment %, wage-growth %, GDP-growth %) — NEVER a market price, quote, FX rate, or asset valuation. Not financial advice.

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• rocket_launches

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  Upcoming or recently-launched orbital rocket launches from Launch Library 2 (The Space Devs). Per launch: name, provider (+ type/country), vehicle (+ family/reusability/flight count), pad + location (+ coordinates), net launch time + a live countdown (T-minus / T-plus), net precision + launch window, mission (name/type/orbit/description), and current go/scrub status. `window` = "upcoming" (default — next launches by net time) | "previous" (recently launched). `limit` = how many to return, 1-30 (default 10). Keyless; Launch Library 2 free to use (commercial OK) — we re-serve a value-added envelope (countdown, normalised fields, freshness + provenance), never the raw passthrough or the non-commercial launch imagery. Schedules slip frequently; trust `status` + `net_precision`.

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• world_events

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  Latest global news-event coverage from the GDELT Project, which monitors worldwide news in 100+ languages: the most recent articles matching `query` (keyword/phrase, optional — matched against full article text) from outlets in `region` (country name, optional) within the past `hours` (1-168, default 24). Argless = a global pulse of the latest coverage. Article METADATA only — titles, links, outlets, timestamps, source countries — never bodies. Open GDELT terms (unlimited commercial use; citation carried in provenance).

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