AQUAVIEW

{
  "id": "aix_db3ea12eea",
  "name": "AQUAVIEW",
  "operator": "(unclaimed - source: pulsemcp · publisher: www.pulsemcp.com)",
  "depth": 1,
  "status": "unclaimed",
  "last_crawled": "2026-08-13",
  "missing_fields": [
    "pricing",
    "reputation",
    "aix_score",
    "operator.identity"
  ],
  "skills": [
    "general-tools"
  ],
  "protocols": {
    "mcp": "https://mcp.aquaview.org/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": null,
  "aix_score": null,
  "verification": {
    "identity": "none",
    "health": "liveness-only",
    "pricing": "unknown",
    "last_check": "2026-08-13T06:00:03.101Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/aquaview"
    },
    {
      "label": "listing",
      "url": "https://www.aquaview.org/"
    }
  ],
  "unreachable": false,
  "profile": {
    "mcp_server": "AQUAVIEW MCP Server",
    "mcp_version": "2.14.2",
    "tool_count": 4,
    "tools": [
      {
        "name": "search_datasets",
        "description": "Search the AQUAVIEW catalog — a comprehensive collection of 268K+ global oceanographic, atmospheric, and marine datasets from 15 sources (NOAA, NDBC, IOOS, WOD, CoastWatch, etc.), intended for scientific research, data analysis, and environmental monitoring.\n\nYou must provide at least one of: q, bbox, datetime, collections, filter, or token.\nHint: When the user asks for a region, prefer the 'bbox' parameter over including region name in 'q'. Use the geo_hints resource for common bounding boxes.\n\nArgs:\n    q: Free-text search across title, description, and keywords (e.g., \"sea surface temperature\"). Case-insensitive, OR logic across terms.\n    bbox: Bounding box as \"west,south,east,north\" (e.g., \"-98,24,-80,31\" for Gulf of Mexico).\n    datetime: Temporal filter. Single datetime, range (\"2020-01-01T00:00:00Z/2024-12-31T23:59:59Z\"), or open-ended (\"../2024-01-01T00:00:00Z\" or \"2020-01-01T00:00:00Z/..\").\n    collections: Comma-separated collection IDs to search within (e.g., \"NOAA,NDBC,WOD\"). Use list_collections to see available IDs.\n    exclude_collections: Comma-separated collection IDs to omit from results (e.g., \"INCIDENT_NEWS\" to drop oil-spill reports from free-text searches). Applied as a CQL2 NOT filter, so it composes with `filter`.\n    filter: CQL2-JSON filter as an object or JSON-encoded string. Supports flat and nested property paths. Flat example: {\"op\": \"=\", \"args\": [{\"property\": \"aquaview:institution\"}, \"NOAA/NCEI\"]}. Nested example (filter by per-variable stats summary): {\"op\": \"<=\", \"args\": [{\"property\": \"aquaview:column_stats_summary.variables.Pressure.min\"}, 10]}. Supported operators: =, <>, <, >, <=, >=, like, between, in, and, or, not.\n    license: Comma-separated SPDX license id(s) to match exactly (e.g., \"CC-BY-4.0,CC0-1.0\"). Also accepts the controlled extra values \"public-domain\", \"proprietary\", \"various\", \"unknown\". Matched against `aquaview:license`, which is normalized on every item regardless of source.\n    sortby: Sort specification as \"+field,-field\" (e.g., \"+properties.datetime,-id\"). + = ascending, - = descending.\n    limit: Number of results to return, 1-100. Defaults to 10.\n    token: Pagination token from a previous response's 'next_token' field. Pass this to get the next page of results.\n    fields: Comma-separated list of fields to include in results (e.g., \"id,geometry,properties.title\"). Reduces response size. When set in CSV mode, emits projected columns (no canonical columns, no asset_keys, no `## assets` section).\n    include_assets: If False (default), asset download records are omitted to save ~60-70% of response tokens; CSV mode still emits a capped `asset_keys` hint column (e.g. `column_stats;overview;gdac_prof;+[N]`) so an agent can see what kinds of assets exist. To get full URLs, call `get_item(collection, item_id)` for the specific id. If True, assets are included inline (full dict for JSON/TOON; `## assets` section with item_id,key,href,type,title rows for CSV).\n    output_format: \"csv\" (default, sectioned CSV — canonical columns including asset_keys hint), \"json\", or \"toon\".\n\nReturns:\n    Search results with metadata (total matched, returned, next_token) and items.\n    CSV mode emits `## metadata` + `## items` sections and a `## assets` section\n    when include_assets=True; columns are id,collection,bbox,datetime,title,institution,\n    platform_type,cdm_data_type,variables,keywords,source_url,description,\n    column_stats_summary,geometry,asset_keys. JSON/TOON return the STAC feature shape,\n    with the `assets` dict present only when include_assets=True."
      },
      {
        "name": "get_item",
        "description": "Fetch a single AQUAVIEW dataset item with full details, properties, and download links (assets).\n\nSTAC items embed assets inline — each asset includes an href (download URL) and media type, so there is no need for a separate \"files\" call.\n\nArgs:\n    collection: The collection ID the item belongs to (e.g., \"NOAA\", \"NDBC\", \"WOD\"). Available from search results or list_collections.\n    item_id: The unique item identifier (e.g., \"wod_xbt_ZZ144579\"). Available from search results.\n    output_format: \"toon\" (default) or \"json\".\n\nReturns:\n    Full STAC item with geometry, properties (title, description, datetime, institution, variables, etc.), and assets (download links with media types)."
      },
      {
        "name": "list_collections",
        "description": "List all available AQUAVIEW data collections (sources).\n\nReturns a summary of each collection with ID, title, description, spatial/temporal extent, and keywords. Use collection IDs to filter searches.\n\nArgs:\n    output_format: \"csv\" (default, sectioned CSV — ~20% fewer tokens than TOON for this tabular response), \"json\", or \"toon\". Use \"json\" for deterministic/structured consumers.\n\nReturns:\n    List of collections with count. CSV mode emits a single `## collections`\n    section with columns id,title,bbox,temporal,keywords,description;\n    bbox is rendered as \"west,south,east,north\"; temporal as \"min|max\";\n    keywords \";\"-joined."
      },
      {
        "name": "aggregate",
        "description": "Run aggregation queries on the AQUAVIEW catalog — get counts, spatial distributions, temporal distributions, and per-collection breakdowns without fetching individual items.\n\nArgs:\n    aggregations: Comma-separated aggregation types (required). Valid types: total_count, datetime_max, datetime_min, datetime_frequency, collection_frequency, geometry_geohash_grid_frequency, geometry_geotile_grid_frequency.\n    collections: Comma-separated collection IDs to scope the aggregation (e.g., \"NOAA,NDBC\").\n    exclude_collections: Comma-separated collection IDs to omit from the aggregation (e.g., \"INCIDENT_NEWS\"). Applied as a CQL2 NOT filter, so it composes with `filter`.\n    bbox: Bounding box as \"west,south,east,north\".\n    datetime: Temporal filter (same format as search_datasets).\n    q: Free-text search to scope the aggregation. Multi-word queries are tokenised on whitespace and OR-combined to mirror search_datasets semantics (aggregate compiles q to CQL2 LIKE clauses on title/description; a raw %multi word% substring match would return 0 for most queries).\n    filter: CQL2-JSON filter as an object or JSON-encoded string. Flat example: {\"op\": \"=\", \"args\": [{\"property\": \"aquaview:institution\"}, \"NOAA\"]}. Nested example: {\"op\": \"<=\", \"args\": [{\"property\": \"aquaview:column_stats_summary.variables.Pressure.min\"}, 10]}.\n    license: Comma-separated SPDX license id(s) to scope the aggregation (e.g., \"CC-BY-4.0,CC0-1.0\"), or one of \"public-domain\", \"proprietary\", \"various\", \"unknown\". Matched against `aquaview:license`.\n    precision: Grid precision for geo aggregations (1-12, higher = finer grid). Applied to whichever geo aggregation type is requested.\n    datetime_frequency_interval: Interval for datetime_frequency (e.g., \"month\", \"year\", \"day\").\n    output_format: \"csv\" (default, sectioned CSV — ~50% fewer tokens than TOON for bucket responses), \"json\" (structured STAC API response), or \"toon\". Use \"json\" for deterministic/structured consumers.\n\nReturns:\n    Aggregation results. In CSV mode: one `## <name>` section per aggregation;\n    scalars render on a single line; bucket aggregations render as CSV with a\n    `# rows: N` header, a `# key=value` line for columns that are constant\n    across all rows, and a conventional CSV table of the varying columns.\n    In JSON/TOON mode: the raw SFEOS response with `name`, `data_type`, and\n    `value`/`buckets` for each requested aggregation."
      }
    ],
    "profiled_at": "2026-08-13T06:00:03.101Z"
  }
}