Apache-2.0 read-only Model Context Protocol (MCP) server for GeoLens. Lets coding agents discover datasets, inspect schemas, and ask spatial questions against any GeoLens instance. Runs locally from the geolens-mcp Python package. Needs 3 environment variables to run.
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originalApache-2.0
MCP server "cesium" as configured in gaopengbin/cesium-mcp. Runs ${CLAUDE_PLUGIN_ROOT}/packages/cesium-mcp-runtime/dist/cli.js with node. Needs 3 environment variables to run.
Single MCP server for Belgian public transport, statistics, open data, and geospatial services. Runs locally from the mcp-belgium npm package. Needs 2 environment variables to run.
AI-powered data visualization toolkit. Describe your data, get production charts, locally. Runs locally from the nveil Python package. Needs 1 environment variable to run.
World geographic data for AI agents: 261 countries, 5.2M cities, rankings, and 9 indexes. Runs locally from the bamwor-mcp-server npm package. Needs 1 environment variable to run.
Ground AI agents in open map data. MCP server for Overture Maps — compact answers, no API key. Runs locally from the placeroot Python package. Needs 1 environment variable to run.
MCP server for the Geomelon geographic API — stdio and remote HTTP transports. Runs locally from the geomelon-mcp npm package. Needs 2 environment variables to run.
UK neighbourhood research from government open data: postcode reports, comparisons, 45 datasets. Runs locally from the agentic-house-search npm package.
Polish real estate for AI: 8M+ deed transaction prices (RCN) + per-parcel context by cadastral ID. Runs locally from the @cenogram/mcp-server npm package. Needs 1 environment variable to run.
Fair meeting point discovery for AI agents with isochrone-based travel time fairness. Runs locally from the rendezvous-mcp npm package. Needs 1 environment variable to run.
Place search, directions, isochrones & area analysis across 10 map providers. No API key to start. Runs locally from the @geowirehq/mcp npm package. Needs 6 environment variables to run.
MCP server "wilddatum" as configured in krnzt/wilddatum. Launched with https://github.com/krnzt/wilddatum/releases/download/v0.1.0-alpha.3/wilddatum-v0.
Professional-grade GIS geoprocessing for AI agents via MCP, with verifiable provenance. Runs locally from the mapsmith Python package. Needs 1 environment variable to run.