#geospatial

Remote MCP server for geographic data — earthquakes, tsunamis, volcanoes, hurricanes, floods, tornadoes, FX rates, UN SDG, World Factbook, WorldPop. Free discovery + free packs; earthquakes & tsunamis paid via x402 on Base USDC. Start with get_catalog, then get_pack.

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.

MCP server connecting AI agents (Claude, Cursor, Windsurf) to real geographic data: 261 countries, 5.2M cities, rankings, comparisons, and 9 Bamwor indices. Free tier, no API key required. Powered by Bamwor.

UK AI planning intelligence — check constraints, flood risk, planning applications, EPC data, and Land Registry prices for any UK postcode. Built for planning consultants, surveyors, and property developers. Data sourced from Ordnance Survey, HM Land Registry, Environment Agency, and EPC Register.

France Data MCP lets AI agents query, cross-reference and automatically enrich multiple French public registries through a unified MCP interface. France Data MCP provides a French territorial intelligence layer designed for multi-source reasoning and agentic orchestration. The server combines territorial data, geocoding, public health, administrative registries and multi-source enrichment to enable complex geospatial and territorial reasoning workflows. Unlike simple API wrappers, the tools are designed to be chainable by AI agents to autonomously solve complex business questions.

US land due-diligence MCP server. Returns structured reports covering solar potential, groundwater depth, flood zones, building codes, and county regulations for any US property address. Mode-aware across off-grid, rural residential, recreational, and investment use cases. 60-120 second turnaround with sourced citations from NREL PVWatts, USGS Water Services, and FEMA NFHL.

LeafEngines is an agricultural intelligence MCP server that provides comprehensive tools for soil analysis, crop recommendations, weather forecasts, and environmental impact assessment. It integrates USDA data with local sources for international coverage. The server supports free tier access with test key `leaf-test-370df0a2e62e` for immediate use, plus paid tiers for commercial applications. Version 2.0.2 includes telemetry integration for anonymous usage tracking.

ReadyPermit is the AI property intelligence layer that answers "Can I build on this property?" with instant zoning, buildability, flood, and environmental analysis for any U.S. address. It returns permitted uses, setbacks, FAR, Buildability Score, and feasibility insights drawn from 20+ government and parcel data sources — purpose-built for developers, investors, brokers, lenders, and homeowners.

Real-time US storm intelligence for roofing and restoration contractors. Scored opportunities, property targeting, canvass routing, and FEMA claim data from live NOAA/SPC feeds.

MCP server that enables AI agents to control CesiumJS 3D globe with natural language. Supports camera flight, entity management, imagery layers, terrain, GeoJSON, trajectory playback, and interactive picking. Works with Claude Desktop, VS Code Copilot, Cursor and any MCP-compatible client.

Google Maps tools for AI agents — 8 tools (geocode, search, directions, elevation) via MCP server or standalone CLI with Agent Skill definitions and exec mode.

Machine-native GIS processing for AI agents. Convert, reproject, validate, repair, buffer, dissolve, clip, merge, spatial join, and tile vector geodata. 25 operations. Pay-per-use USDC on Solana ($0.01/op). No API key required.

The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.

A Model Context Protocol (MCP) server that exposes GeoServer REST API functionality for natural language interaction. Built on the python-geoservercloud library, this MCP server provides 80+ tools for managing: - Workspaces - create, list, delete workspaces - Datastores - connect to PostGIS, GeoPackage, Shapefile sources - Feature Types & Layers - publish and configure vector/raster layers - Styles - create and apply SLD/CSS/MBStyle styles - Layer Groups - organize layers into groups - Security - manage access rules and permissions Works with any GeoServer instance (local or remote). Simply configure your GeoServer URL and credentials via environment variables.

About Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.

A Maritime Routing MCP Server that computes sea routes and geodesic distances using searoute and geopy. Built for maritime operations and research.

An MCP (Model Context Protocol) Server that provides access to STAC (SpatioTemporal Asset Catalog) APIs for geospatial data discovery and access.

OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

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Please find the details on https://gis-mcp.com