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Alternatives to daedal-map

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    Enables AI assistants to search and access geospatial datasets through STAC (SpatioTemporal Asset Catalog) APIs. Supports querying satellite imagery, weather data, and other geospatial assets with spatial, temporal, and attribute filters.
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    Provides access to the OpenLandMap STAC catalog, offering over 100 global environmental datasets including soil, climate, and vegetation data. It enables AI agents to discover, search, and retrieve Cloud-Optimized GeoTIFFs for global geospatial analysis.
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    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.
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    Provides comprehensive geospatial analysis capabilities through Turf.js, enabling spatial measurements, geometric operations, coordinate transformations, and geographic data processing. Supports over 100 geospatial functions including distance calculations, spatial relationships, buffer operations, and grid generation.
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Related Servers

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    A production-grade MCP server for querying U.S. Census Bureau data (ACS 5-Year and Decennial) with tools for geographic fuzzy matching, variable search, and batched data retrieval, backed by a PostgreSQL cache for performance.
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    MCP server that wraps Kartverket's open APIs for Norwegian geographic data including place names, addresses, elevation, municipalities, properties, statistical districts, and building points. Requires no authentication.
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    39 npm
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    Enables desktop agents and clients to access geospatial services via a hosted MCP server, including OpenStreetMap queries, address and business search, POI discovery, routing, matrices, isochrones, map matching, optimization, elevation and terrain, basemap styling, spatial analysis, rendering, usage, and service status.
    161 npm
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TDQS

A4.5/5.0

Scored across 13 tools

Disambiguation5/5

Every tool targets a clearly distinct action and data type: catalog exploration, pack inspection, place info, geometry retrieval, point resolution, identity conversion, event drill-down, and two different classifier modes. Descriptions explicitly cross-reference when to use other tools, reducing overlap confusion.

Naming Consistency5/5

All names follow a predictable lowercase snake_case pattern with a leading verb: get_* for retrievals, identify_* for classification, resolve_* for geocoding, plus convert/compare for specific operations. The verb-prefix convention makes the tool family immediately understandable.

Tool Count5/5

Thirteen tools is well within the 3-15 sweet spot and matches the breadth of the geospatial domain: catalog discovery, pack access, geometry, reference conversion, point resolution, and event lookup all earn their place without feeling bloated.

Completeness5/5

The tool set covers the full read-only workflow for a geographic data platform: discover, inspect, retrieve data and geometry, resolve points, classify and verify identifiers, convert references, compare geographies, and drill into events. No obvious dead ends or missing operations for the apparent domain.

Maintenance

ActivityActive
ResponsivenessNo issues