"A server for rendering GIS maps with support for render_map" 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.

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.

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.

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 exposing Google Maps Platform to MCP clients with seven tools for geocoding, place search/details, traffic-aware travel times, and time zones. Runs as a local stdio server or a containerized HTTP service with bearer auth, needing only a single API key.

Enables read-only search and spatial analysis across all six Overture Maps themes, with tools for catalog/schema inspection, feature retrieval, spatial joins, summaries, nearest queries, ID resolution, and release comparisons.

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

Production-ready MCP server for Google Maps Platform APIs, providing 11 tools for directions, places, geocoding, traffic, and road data to empower AI agents with location intelligence.

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.

MCP server that enables LLMs to create and control interactive MapLibre maps by placing markers, drawing paths, and rendering polygons directly in Claude Desktop.

An MCP server providing geocoding, routing, isochrones, and POI-by-proximity search through self-hosted OpenStreetMap backends.

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 AI assistants to search and scrape Google Maps places data (name, rating, address, etc.) directly without an API key.

Enables AI assistants to access Google Maps services including places search, details, directions, geocoding, and nearby search through natural language.

Query Overture Maps data — places (POIs), buildings, and administrative divisions — from MCP-compatible LLMs with token-efficient summaries.

Thirteen read-only Google Maps Platform tools for an agent: where a place is, what is around it, how long it takes to get there, and what the conditions are when it arrives.

Provides hosted, read-only Google Maps tools for MCP clients, enabling place search, full place details, reviews, photos, posts, and contributor history without a Google Cloud project or billing.