Earth & ocean science MCP servers

A server here oceans, tides, geology, rivers or satellite earth observation.

Not here: weather forecasts.

246servers
170 remote76 localTagged by Odel's AI, which can make mistakes
By GitHub stars, at most two per publisher
  1. Number 1: GeoLens@geolens-io/geolensRead-only access to a self-hosted GeoLens spatial catalog: datasets, features, maps, sandboxed SQL.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.275 GitHub stars.
  2. Number 2: CLIO Sac@iowarp/sac-mcpMCP server for analyzing SAC seismic-waveform files and TAR archives: inspect members, compute...4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.28 GitHub stars.
  3. Number 3: CLIO Geo@iowarp/geo-mcpMCP server for rendering GeoJSON vector layers into map images with basemaps4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.28 GitHub stars.

Best fit

175 made for this, ranked by starsRemoteLocal
  1. ADCIRC Model Setup MCP Server @oceanmodeling/adcirc-mcpADCIRC model configuration debugging, parameter lookup, and validationNot assessed yet.Runs on your machine, installed from PyPI.9 GitHub stars.
  2. NOAA NDBC MCP Server @mansurjisan/ndbc-mcpNOAA National Data Buoy Center observations: waves, SST, wind, pressure from 1,300+ stations4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.9 GitHub stars.
  3. NOAA RTOFS MCP Server @mansurjisan/rtofs-mcpNOAA RTOFS global ocean forecast — SST, salinity, currents, depth profiles via CoastWatch ERDDAP4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.9 GitHub stars.
  4. NOAA CO-OPS MCP Server @oceanmodeling/coops-mcpNOAA CO-OPS tides, water levels, currents, and meteorological data3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.9 GitHub stars.
  5. Searoute @mayurrawte/searouteReal shortest sea routes between ports: distance, canals/straits, GeoJSON. UN/LOCODE aware.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.9 GitHub stars.
  6. bhoonidhi-mcp @geovicco-dev/bhoonidhi-mcpSearch, save, and download satellite scenes from ISRO's Bhoonidhi portal in natural language.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
  7. MapSmith @mapsmith-ai/mapsmithDeterministic GIS geoprocessing with verifiable provenance on every output4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.
  8. petromcp @ameyxd/petromcpLocal-first MCP server: read LAS well logs and DLIS files from your own disk.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.
  9. VesselAPI @vessel-api/vesselapi-mcpMCP server for the VesselAPI — maritime vessel tracking, port events, emissions, and navigation data4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.1 GitHub stars.
  10. Shouldigo Surf @orlench/shouldigo-surfMCP server for Should I Go? — real-time surf conditions for 73+ beaches worldwide3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.1 GitHub stars.
  11. Seismic @hoon1983/seismic-mcpUnified earthquake data from 20 global seismic agencies, with cross-agency report reconciliation.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.1 GitHub stars.
  12. Wems @heliosarchitect/wemsReal-time natural hazard monitoring: earthquakes, tsunamis, volcanoes, solar weather, air quality4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.1 GitHub stars.
  13. Japan property hazard @atushi1841/japan-property-hazard-mcpJapan property hazard risk (flood/landslide/tsunami/liquefaction)4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from a package registry.
  14. Stormglass @mrfentmen/stormglass-mcpStormglass marine weather, tides, elevation.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
  15. Pondlog USGS Water @andrewschristison/pondlog-usgsUSGS Water Services MCP server. Real-time streamflow, gage height, and site metadata from NWIS.2% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
  16. Tides @mrfentmen/tides-mcpUse this MCP server to NOAA tides and currents predictions and water levels. Tools include get...4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
  17. Site Intelligence @bayrakdaralper/site-intelligence-mcpScore any coordinate for ecological and agricultural land suitability from satellite data4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
  18. WildDatum @krnzt/wilddatumAgent-native ecological data discovery, analysis, visualization, and provenance4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.
  19. EcoScope @krnzt/ecoscopeAgent-native ecological data discovery, analysis, visualization, and provenance4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.
  20. Umbra open SAR archive @reesehammer/umbra-mcpSearch, preview, and measure Umbra open SAR from any MCP client. Umbra ships no search API.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
  21. Gagelink @adeniyikayodee/gagelinkRiver level, streamflow, floods and basins from USGS, NOAA, Hub'Eau, UK Environment Agency, SWOT3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.

Also touches on Earth & ocean science

16 where it is one part of a bigger job