geospatial
17 servers · 1,051★ total
A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.
120-tool MCP server for real-time global intelligence: markets, SEC filings, conflict, military, cyber, climate, news, and 30+ domains. AI situation briefs that cite their sources, user-defined geofences with escalation scoring, cited daily digests, live SSE dashboard. MIT, no paid API keys.
Protocol-agnostic CesiumJS AI control runtime for MCP, WebMCP, function calling, and browser agents.
Cesium AI Integrations is a collection of reference integrations and experiments connecting the Cesium ecosystem with AI systems including Model Context Protocol (MCP) tools, retrieval pipelines, and agent skills.
Lightweight open-source visualiser for India admin boundaries — pick a layer, view, download parquet
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.
InfraNode - free, key-less open-data REST API + MCP server for 84 German cities
Secure, local-first MCP server exposing ArcGIS Pro's ArcPy engine over stdio JSON-RPC.
cotlib is a secure, high-performance Go library for parsing, validating, and generating Cursor-on-Target (CoT) XML messages. It features a comprehensive, embedded type catalog with metadata and XSD catalogue, robust validation logic, and LLM/AI-friendly search APIs. Designed for reliability, composability, and security.
AI-powered OpenLayers map control via Model Context Protocol (MCP). 30+ tools for view, layer, feature, overlay, interaction, style, and draw operations.
Connect AI agents to live QGIS Desktop through a secure local MCP bridge with 100+ specialist tools and resumable visual workflows.
Single MCP server for Belgian, free/opensource & aggregate 16 APIs / 63 tools: transport, statistics, open data, addresses, weather, air quality, and geospatial services.
A comprehensive MCP server for accessing Capetown Opendata
MCP server exposing Google Earth Engine as a set of MCP tools. These include: dataset discovery, metadata extraction, analysis primitives, and AI-assisted GEE Python code generation.
AI-Powered 2D/3D Map Control via Model Context Protocol for Mapbox GL JS
堪舆 (Kanyu) — AI-native geospatial operating system in Rust. GeoArrow memory model, MCP neural interface, self-evolving WASM genes.
