"Unreal Engine" matching MCP servers:

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

Enables discovery and scoring of independent local businesses by inverting algorithmic rankings that favor chains, using Google Places API with an opinionated independence-scoring engine.

Unified place search and geocoding over OpenStreetMap, Google, and your own CSV data. Provider fallback, multi-provider merge + dedup, cost budgets, and a policy engine. Works with zero API keys. Tools: search_places, get_place, geocode_address, reverse_geocode, list_geo_providers.

Secure, local-first MCP server exposing ArcGIS Pro's ArcPy engine over stdio JSON-RPC.

Enables an AI agent to scout local businesses, instantly re-rank cached leads under new scoring weights, explain each score variable by variable, run one-off website audits, and generate ready-to-send outreach pitches or WhatsApp openers from natural language. It exposes the same discovery/scoring engine as the CLI, so results can be listed, scored and opened in a dashboard without leaving the chat.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.

Enables agents to query live surf-break conditions, run what-if tide and engine evaluations, and create, update, log, export, or verify sealed session records through typed JSON-RPC tools.

Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.

Integrates Claude Desktop with the Valhalla routing engine to provide OpenStreetMap-based routing and isochrone capabilities. It enables users to calculate travel paths and reachability polygons for various transportation modes using natural language.

This MCP server provides accessibility risk assessment for Seoul subway trips, considering wheelchair, stroller, and other mobility constraints. It offers tools to check station facilities, elevator status, and calculates risk scores for routes based on a deterministic engine.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.

Enables an AI companion to take a small solo trip to a real, specific place, choosing its own steps over 4–10 rounds and then writing its own travelogue and picking one thing to bring home. Each journey becomes a station on a self-hosted roadbook map with coordinates, the traveler's own words, their souvenir, and a matching photo, with unfinished trips never lost and no ghostwriting by the engine.

Enables downloading satellite imagery from Google Earth Engine as GeoTIFF files, supporting various datasets, bands, and region specification through natural language.

Enables AI agents to perform professional-grade geoprocessing tasks such as buffers, overlays, reprojections, and terrain analysis with deterministic tools and verifiable provenance.

66 tools generated from the same OpenAPI spec as our SDKs — CI fails on drift, so REST and MCP never disagree. Underneath: a deterministic field operations scheduling engine — skills, territories, live availability, sub-3-second cascade rescheduling — drivable end-to-end from Claude or ChatGPT. Schedule changes preview before they commit; LLMs never inside the math.