Ranked by evidence. Filter by discipline, region and format to find sources for your project.
1254 sources
Sponsored placements first · Organic quality score ↓
German climate observations
Germanyhealthy
near real time land cover
Globalhealthy
WISE water
Europehealthy
10m land cover
Globalhealthy
soil properties
Europehealthy
Envirocheck report
United Kingdomhealthy
global freshwater quality
Globalhealthy
wind resource
Globalhealthy
embodied carbon of materials
Globalhealthy
Italian env data
Italyhealthy
Japanese weather
Japanhealthy
Dutch met data
Netherlandshealthy
historic station rainfall
United Kingdomhealthy
Irish historic weather
Irelandhealthy
downscaled projections
Globalhealthy
NZ climate data
New Zealandhealthy
nutrient budget for housing scheme
Englandhealthy
buildings and places
Globalhealthy
calculate BNG units
Englandhealthy
OS Open Rivers
United Kingdomhealthy
scope 1-3 factors
United Kingdomhealthy
climate change allowances
United Kingdomhealthy
key biodiversity areas
Globalhealthy
A spy satellite simulator in your browser, except the data is real. Live open source spatial intelligence on a photorealistic 3D globe.
What's in it
- Data offered docs-verified
- live aircraft · ships · satellites · earthquakes · traffic · public cameras
- Coverage llm-inferred
- Global (globe-wide); public camera feeds limited to Austin, London, California, Finland and Delaware
- Update frequency docs-verified
- Live or regularly refreshed; per-feed intervals not documented
- Access docs-verified
- Free and open source (licence: Other, per metadata); runs locally in a browser. Optional keys: Cesium ion token (free, eligible personal non-commercial use), Google Maps key (paid, metered), OpenAI key (voice control only)
Useful for
- Use cases llm-inferred
- Desk-based site context overview (terrain, imagery, nearby live signals) before a site visit · Weather context review for an event window using forecast wind and observed radar replay · Visual briefing material for client and stakeholder presentations using scene capture
- Audience llm-inferred
- GIS analysts · flood consultants (visualisation only) · planners · civils/BIM engineers (visualisation only)
Limitations
- Constraints llm-inferred
- Traffic is simulated along real roads from aggregate location data, not measured · CCTV camera poses and rocket launch trajectories are coarse estimates · Public camera feeds only over listed regions · Google Maps and Cesium ion features are subject to provider terms and quotas · Voice control requires an OpenAI key · Bundled Nepal flood data is non-commercial only · Licence listed as Other, so reuse terms need checking before commercial use · Older versions no longer work with OpenStreetMap data sources and need updating
Globalhealthy
MCP server with runtime-level tools for Rails development
What's in it
- Data offered docs-verified
- runtime code evaluation in the running Rails app (project_eval) · live app logs · development database query results (execute_sql_query) · source file and line locations of classes, modules and methods, including gem dependencies (get_source_location) · documentation for classes, methods and constants pinned to Gemfile.lock gem versions (get_docs)
- Formats docs-verified
- MCP streamable HTTP
- Access llm-inferred
- Open source under the Apache License 2.0; no credentials documented in README. Requires a local Rails development app with the tidewave gem added to the development group.
Useful for
- Use cases llm-inferred
- Reproduce a failing code path against live app state with project_eval when debugging a Rails web tool · Confirm that a create action saved expected records by querying the development database with execute_sql_query · Check method signatures in the exact gem versions locked in Gemfile.lock with get_docs before generating code · Jump to the defining file and line of a gem method with get_source_location when extending a Rails app
- Audience llm-inferred
- Ruby on Rails developers · web application developers building internal tools for consultancies
Limitations
- Constraints llm-inferred
- Development use only; not meant for production · Raises an error in any environment where code reloading is disabled · Requires a running Rails app with the tidewave gem in the development group · Accepts requests from localhost only by default · Toolbar may not appear if compression middleware runs after Tidewave · Multiple hosts or subdomains need *.localhost and session configuration changes · Provides no routes or associations tools by design · Contains no UK water, civils or environmental datasets; it is a developer tool, not a data source
Globalhealthy
139-tool MCP server for real-time global intelligence from free public APIs: markets, SEC filings, conflict, military, aircraft-cohort early warning, refugee and migration flows, cyber, climate, news, and 30+ domains. Cited AI situation briefs, geofences with change detection, live SSE dashboard. MIT, no paid API keys.
What's in it
- Data offered llm-inferred
- earthquakes (USGS) · wildfire hotspots (NASA FIRMS) · disaster alerts (GDACS) and environmental events (NASA EONET) · conflict events (ACLED, UCDP) · refugee and IDP displacement (UNHCR) · FX rates (ECB) · macro and economic indicators (FRED, World Bank, EIA) · internet outages and cloud service status (Cloudflare Radar, cloud status) · severe weather alerts (NWS, Meteoalarm) · tropical cyclones (NHC, JTWC) · volcano activity (Smithsonian GVP) · news feeds and trending keywords (RSS, GDELT)
- Coverage docs-verified
- Global
- Update frequency docs-verified
- Default 5-minute interval when the collector runs as a daemon; per-tool refresh rates not stated
- Formats llm-inferred
- MCP stdio · PDF · HTML · markdown · SSE (live dashboard)
- Access docs-verified
- Free public APIs with no paid subscription; MIT licence. Several tools need free API credentials set as env vars (ACLED_ACCESS_TOKEN, CLOUDFLARE_API_TOKEN, EIA_API_KEY, FRED_API_KEY, NASA_FIRMS_API_KEY, OPENSKY_CLIENT_ID, OPENSKY_CLIENT_SECRET)
Useful for
- Use cases llm-inferred
- Hazard screening for a client site: recent earthquakes, wildfire hotspots and GDACS disaster alerts for context in an environmental or civils risk note · Severe weather context for a project briefing using NWS and Meteoalarm alerts where the site falls in US or EU coverage · Macro and cost-escalation inputs for civils and infrastructure budgets using FRED, World Bank and EIA energy price series
- Audience llm-inferred
- environmental consultants · civils and infrastructure risk analysts · planners · GIS analysts · AI agent developers
Limitations
- Constraints llm-inferred
- Global geopolitical, market and security focus; no UK hydrology, flood, rainfall or ground-model datasets are listed in DOCS · Severe weather coverage is limited to US (NWS) and EU (Meteoalarm); UK coverage is not listed in DOCS · Requires local install of a Python package (pip install -e .) and Python 3.11+; not a hosted service · PDF reports need native dependencies, e.g. pango on macOS · A source that fails three times in a row is paused for 5 minutes by its circuit breaker · Several tools need API credentials; per-source rate limits and free-tier quotas are not stated in DOCS · Source maintenance risk: the server aggregates 30+ third-party public APIs that can change or disappear
Globalhealthy
A Claude/Codex skill for geospatial data
What's in it
- Data offered docs-verified
- Spatial SQL generation and execution against PostGIS, BigQuery, Snowflake and Wherobots · Overture Maps shares on BigQuery and Snowflake · Warehouse table/column discovery · Map rendering of query results via optional Dekart CLI
- Coverage llm-inferred
- Global (per ENTRY regions; actual data coverage depends on the connected warehouse)
- Access docs-verified
- Free and open, MIT licence (per ENTRY). No SaaS account needed; runs locally or self-hosted. Warehouse access uses local CLI authentication (bq, snow, dekart); the optional Dekart CLI is installed on request.
Useful for
- Use cases llm-inferred
- Screening private warehouse layers for proximity to road or utility networks (e.g. features within 5 km of a motorway) for constraint mapping · Sanity-checking polygon area and line length of GIS query outputs before using them in a report · Joining site or asset points to Overture Maps building or road layers for baseline context · Rendering spatial query results as a map for client or peer review
- Audience llm-inferred
- data scientists · analysts · GIS analysts · spatial data engineers
Limitations
- Constraints llm-inferred
- Requires access to a supported warehouse (PostGIS, BigQuery, Snowflake or Wherobots) and its local CLI credentials · BigQuery queries are capped at a 10 GiB scan by default · Benchmark suite covers only London, Berlin and Paris cases (8 assertions) · Map-feedback loop needs the optional Dekart CLI · ENTRY notes no credentials documented in README, while the docs rely on local bq/snow/dekart auth · Not UK-specific; no UK datasets are named in the docs · Version check telemetry is on by default (disable with DO_NOT_TRACK=1)
Globalhealthy
Mapbox Model Context Protocol (MCP) server
What's in it
- Data offered docs-verified
- geocoding and reverse geocoding (addresses and place names to coordinates and back) · POI search · multi-modal routing (driving, walking, cycling) with real-time traffic · travel time matrices · route optimisation for multiple stops · map matching of GPS traces · isochrones (time or distance reachability) · interactive map rendering (render_map_tool) · static map images · offline distance, area, bearing, buffer, centroid and points-within-polygon calculations
- Coverage docs-verified
- Global (worldwide)
- Formats llm-inferred
- MCP (Node.js server; hosted endpoint https://mcp.mapbox.com/mcp) · PNG · JPEG · GeoJSON (input to render_map_tool)
- Access docs-verified
- API key: Mapbox access token required (env MAPBOX_ACCESS_TOKEN); free Mapbox account signup; server code MIT licence
Useful for
- Use cases llm-inferred
- Travel-time isochrones and drive or walk reachability from a depot or site for survey and sampling crew scheduling · Travel-time matrix and multi-stop route optimisation for multi-site monitoring rounds such as river or outfall sampling · Static map images of site location, catchment context and sampling points for report figures · Offline buffer, area and point-in-polygon checks on site boundaries or consultation zones
- Audience llm-inferred
- GIS analysts · civil engineers (site logistics) · environmental consultants · planners
Limitations
- Constraints llm-inferred
- Requires a Mapbox access token (MAPBOX_ACCESS_TOKEN) · Global, general-purpose location platform; no UK hydrology, flood, rainfall or environmental datasets among the listed tools · Geocoding, POI, routing and isochrone tools call Mapbox APIs; usage limits and pricing are not stated in DOCS · Interactive render_map_tool works only in MCP Apps clients (e.g. Claude Desktop, Claude Code, VS Code with GitHub Copilot, Goose); use static_map_image_tool elsewhere · Resource fallback tools (resource_reader_tool, category_list_tool) are off by default; enable CLIENT_NEEDS_RESOURCE_FALLBACK=true for clients without resource support · Tool argument schemas are not included in DOCS
Globalhealthy
A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms.
What's in it
- Data offered docs-verified
- catalogue of geospatial MCP servers covering geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and commercial location platforms
- Formats llm-inferred
- Markdown (README tables) · YAML (servers.yaml source)
- Access docs-verified
- Catalogue licensed MIT (ENTRY metadata). Listed servers range from open to paywalled: open, free, commercial, or paywalled, per the docs legend.
Useful for
- Use cases llm-inferred
- Find a geocoding or reverse-geocoding MCP server to convert site addresses to coordinates for a planning appraisal · Identify a PostGIS or STAC/imagery MCP server to query spatial datasets for catchment or land-use analysis · Locate a weather MCP server to pull rainfall or climate context for a drainage strategy desk study
- Audience llm-inferred
- GIS analysts · hydrologists · drainage engineers · flood consultants · planners · developers building MCP-based geospatial tooling
Limitations
- Constraints llm-inferred
- Lists servers rather than providing data itself · Server health varies: 18 stale and 2 pending at the time of the health check · Health status reflects only repository push activity within 12 months · Some entries have URLs still to be confirmed · Access tiers differ by server, and many are commercial or paywalled
Globalhealthy
Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.
What's in it
- Data offered docs-verified
- Vector datasets from uploaded files, created datasets, or registered PostGIS tables · Feature-service snapshots from WFS, ArcGIS FeatureServer, or OGC API Features (one-shot copies) · Remote STAC assets as live references · Catalog metadata with fuzzy and optional semantic search
- Formats docs-verified
- Shapefile · GeoPackage · GeoJSON · GeoParquet · FlatGeobuf · KML · KMZ · zipped File Geodatabase · CSV · XLSX
- Access docs-verified
- Free and open source under Apache-2.0, self-hosted via Docker Compose; API calls use a JWT bearer token from admin login
Useful for
- Use cases llm-inferred
- Index shared-drive shapefiles and PostGIS tables for a flood-risk or drainage project data room, searchable by metadata · Publish a shared map of survey or site-investigation layers as a link or embed for client review · Serve catalogued vector layers to QGIS or ArcGIS via OGC API Features for FRA or environmental baseline work · Run buffer, clip, and intersect analysis on consultancy layers, such as constraint buffers around watercourses
- Audience llm-inferred
- GIS analysts · flood consultants · drainage engineers · ecologists · planners
Limitations
- Constraints docs-verified
- Read-only MCP server for coding agents (per docs) · Self-hosted: requires a running GeoLens stack of six containers (about 1.3 GB resident) · WFS, ArcGIS, and OGC API Features imports are one-shot copies, not live · Map previews capped at 500 features; dissolve is materialize-only · GeoLens's own REST API can change between minor releases; standards APIs track their specifications · Semantic search needs an embedding provider and admin setup · No MCP tool names are given in the metadata or docs
Globalhealthy