"A search for Geographic Information Systems (GIS)" matching MCP servers:

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.

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 for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

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.

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.

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.

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

Glama Dockerfile for YUYU20061107/supermap-gis-bridge 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容 （awesome-mcp-servers 机器人要求 "add Dockerfile directly to Glama"）。 构建上下文为仓库根目录。 为什么这么小就够：live/mcp_server.py 是纯 Python 标准库手写 stdio MCP 服务端（仅 import io/json/os/socket/subprocess/sys/time），无任何第三方 依赖、无 requirements.txt。initialize / tools/list / ping 全部由静态 TOOL_DEFS 在本地应答，不需要 Su

Enables querying public ArcGIS REST services for county/state parcel data, GIS layer identification, and USGS elevation without API keys.

Enables MCP clients to run whole-dataset GIS operations such as buffer, clip, reproject, overlay, spatial join, dissolve, zonal statistics, and attribute selection by passing file paths in and out, so an entire dataset is processed in a single call instead of feature by feature. It works over Streamable HTTP with a shared filesystem or base64 upload/download tools for remote clients.

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 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.

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.

Enables web and local search capabilities using the Brave Search API, allowing users to perform general web searches and find local businesses with ratings, hours, and contact info.

Enables querying and exploring the City of Worcester's open data portal (ArcGIS Hub) through natural language, including dataset search, type filtering, schema inspection, spatial point-in-polygon queries, and geocoding.

Enables querying Sentinel-1/2, Landsat Collection 2, NAIP, and Copernicus DEM imagery by area and date, returning item IDs, footprints, cloud cover, and cloud-optimized GeoTIFF URLs.

Enables AI hosts to search Italian bus locations and one-way journeys across multiple coach operators through read-only MCP tools, returning normalized results with official booking links.

Provides real-time Dutch railway (NS) travel information including train schedules, delays, journey planning, ticket prices, and station details for navigating the Netherlands by train.

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 nearby place searches with IP-based location detection.

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.

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.

Provides Japanese postal code to address lookup functionality that can be integrated with AI assistants and other MCP clients.

Enables access to City of Cedar Park, Texas open geospatial data via ArcGIS. Includes tools for searching datasets, querying feature layers, and retrieving layer schemas.

Enables Claude to search for geo entities such as cities, airports, and hotels using Skyscanner's Tellus API. Supports entity lookup, search by type/location, fetching children, and nearby entities.

Enables AI agents to retrieve a full UK postcode report, perform fast geography lookups, compare up to five postcodes side by side, and search or fetch the underlying open dataset registry through the Model Context Protocol.

Enables querying parking lot information through an MCP server built with fastMCP, allowing users to retrieve parking facility data via API calls.

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).