"Git for Windows" matching MCP servers:

Enables users to draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.

Enables AI agents and hackathon teams to query Glendale, California hazard zones and city GIS data by address or coordinates, including nearby resources and dataset metadata for emergency-preparedness applications.

An MCP server that exposes a verify_place tool for verifying places via Google Places API, along with a rubric resource and classify_post prompt for grounding-based classification tasks.

MCP server that provides AI assistants access to Oklahoma Corporation Commission public GIS datasets, enabling dataset search, layer metadata retrieval, and attribute/spatial queries on ArcGIS Hub data.

MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.

The rush-gift-mcp server helps users en route to an appointment find last-minute gift recommendations and pickup stores along their route, considering time constraints, budget, and relationship. It provides AI-driven planning tools that calculate detour feasibility and generate appropriate gift messages.

MCP server that wraps open Norwegian neighborhood data, enabling queries for public transport coverage, traffic noise, and green areas around a location.

Enables AI assistants to retrieve NOAA high and low tide times and heights for US stations, check whether the tide is rising or falling now, and find low-tide windows for tide pooling or clamming.

Live scuba diving planning for AI agents — ranked dive-forecast windows near any place for any day, best-time climatology per destination, marine-life seasonality from GBIF sightings, and facts for 4,800+ dive sites. Free and read-only; hosted at https://pickadive.com/mcp.

Lets an AI agent query Yerevan's live municipal GIS data—air quality, cadastral parcels, zoning, construction, and transport—with no API key.

Enables users to turn natural-language requests into validated QGIS Processing plans that are executed step-by-step through a QGIS plugin, with safety checks, path confinement, and confirmation gates. It also supports diagnosing GIS errors, resuming blocked runs, and inspecting supported algorithms and past executions.

Enables interaction with Google Maps through a dedicated browser session, supporting searches, directions, map views, and Street View without requiring the Google Maps Platform API.

An MCP server that gives LLMs access to geographic data conversion tools, enabling transformations between different formats like WKT, GeoJSON, CSV, TopoJSON, and KML, as well as performing reverse geocoding.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Enables riders to ask an assistant for wind-sport forecasts at a named spot, combining AROME, ICON, ECMWF, GFS, UKMO and other models into one hourly table with consensus, spread, gust diagnosis, and onshore/offshore safety relative to the beach orientation. It also finds spots, lists which models apply locally, and returns rideable daytime windows within a given knot range.

Computes fixed divination and astronomy facts for any moment — Liu Ren charts, Qimen Dunjia layouts, symbolic stem-branch directions, and the real geometric position of the Big Dipper at a given latitude/longitude — alongside multiple named birth profiles. It also assembles day-by-day candidate windows for a chosen purpose across a 1–7 day range or a full calendar year, accumulating model-filled verdicts into an offline, month-switchable HTML calendar with a local browser preview.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Enables converting moments between IANA zones, answering what time it is in one place when it’s a given time in another, and finding overlapping meeting windows for multiple participants’ work hours, all locally via date-fns-tz/Intl.

A Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.

Enables MCP clients to create and edit technical drawings, manage layers and geometry, process GIS/research mapping data, generate previews and layouts, and automate AutoCAD documents on Windows through COM.

MCP server for querying Brazilian postal codes (CEP) from the official Correios source, supporting read-only lookups via natural language in any MCP-compatible client.

Serves SANDAG/SanGIS regional GIS data from SANDAG's ArcGIS Enterprise portal, enabling natural-language queries for parcels, floodplains, address points, transit, land use, and hundreds of other layers.

Enables location-aware AI agents to search for nearby places, get detailed place information including hours and ratings, and calculate routes with turn-by-turn directions using Google Maps APIs.

A geospatial MCP server that provides tools for geocoding, routing, elevation profiles, and spatial analysis. It enables AI agents to process GIS file formats like GeoJSON and Shapefiles while performing complex coordinate transformations and distance calculations.

An MCP server for searching Sparkasse bank branches and ATMs by location, with filtering by type, facilities, and open status. Currently uses mock data but designed for easy integration with the real Sparkasse API.

Provides geographic coordinate geometry tools for computing midpoints, centroids, bounding boxes, and point-in-bbox tests, enabling spatial calculations via natural language queries.

Enables Claude to set up and manage a local garden journal by searching places, saving garden setup, logging and updating plantings, retrieving forecasts, checking frost risk, and finding planting windows.

Enables querying and spatial analysis of City of San Diego GIS layers (zoning, habitats, land use, etc.) via ArcGIS REST services, with tools for search, metadata, and spatial queries.

Route optimization API for Brazil with tools for geocoding, distance matrices, isochrones, and advanced vehicle routing, supporting constraints like time windows, skills, and multi-profile fleets.

Unified MCP server for place search and geocoding across Kakao, Naver, and Google Maps APIs with automatic provider fallback.

Read-only MCP server for querying Enel Rio de Janeiro's official list of installations using a single tool, hosted with prepaid pay-per-use pricing.

Exposes geometric collector tools over HTTP JSON-RPC so AI clients can compute bounding boxes, fetch buildings, DEM, LCZ, cadastre, roads and water data, and generate Plotly HTML visualizations.

Provides foot-traffic and busyness forecasts for public venues, including hourly/daily busyness curves, live busyness comparisons, and queries by venue ID or name/address.

Glama Dockerfile for YUYU20061107/gis-agent-bridges（合集仓） 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容。 构建上下文为仓库根目录。 合集仓含 9 个包、9 个独立的 live/mcp_server.py；Glama 一个 listing 只能 对应一个 Dockerfile / 一个入口。本文件选 supermap 包作为合集的 Glama 入口 （依据见同目录 RESEARCH.md 第四节：旗舰包、唯一实机校准、且该文件与单仓 supermap-gis-bridge 的 live/mcp_server.py 逐字节相同）。 其余 8 个包同为纯标准库、同架构，技术上任选其一都能通过检查。 FROM python:3.12-sli

Enables querying autumn foliage peak forecasts for Japanese viewing spots, with best-viewing windows, confidence in days, and nearest station details via read-only tools.

Enables querying and searching Lancaster County, Pennsylvania open geospatial datasets (parcels, addresses, zoning, public works) via ArcGIS Feature Services. Supports dataset search, layer query with SQL-like filters, and schema retrieval.

Enables natural language interaction with SANDAG's regional GIS datasets for San Diego County, supporting discovery, querying, and spatial analysis of layers like parcels, floodplains, and transit.

Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.