satellite-mcp
Related Servers
Alternatives to satellite-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server wrapping worldmonitor global intelligence dashboard, exposing 140 tools across 32 services for live market, geopolitical, military, cyber, climate, and supply chain data.MIT
- AlicenseCqualityDmaintenanceMCP server for the OSINT Intelligence Platform, enabling AI assistants to interact with Telegram intelligence archives via 65 tools for search, entity analysis, event tracking, social graph, and platform monitoring.712MIT
- AlicenseBqualityDmaintenanceUnified dark web and threat intelligence MCP server providing 66 tools across 16 data sources, including breach databases, ransomware tracking, Tor .onion access, blockchain intel, and malware analysis for AI agents.66158 npmMIT

warmthengine.com/mcpofficial
FlicenseNot gradedqualityBmaintenanceMCP server exposing 16 programmatic tools for AI systems to query verified Coordination Intelligence on AI infrastructure events, connections, and actors across geopolitical blocs.1-- AlicenseNot gradedqualityDmaintenanceProduction-ready satellite imagery analysis server that enables natural language queries for Earth observation data, including land cover classification, vegetation monitoring, water detection, change detection, and automated environmental reporting.MIT
- AlicenseBqualityBmaintenanceProvides sovereign geospatial awareness by wrapping open, non-US-dependent geospatial APIs for AI-agent situational awareness, environmental compliance, and disaster response.545 PyPIMIT
TDQS
Scored across 171 tools
Tools are organized by clear category prefixes (e.g., agri_, aircraft_, conflict_) with distinct operations. A few clusters like firms_active_area/country/point and aircraft_live/search have overlapping purposes but descriptions differentiate by query method. Overall, most tools are easily distinguishable.
All tool names follow a consistent category_verb_noun pattern in snake_case (e.g., geo_distance, change_burn). No mixing of camelCase or other conventions. Even special tools like satellite_list_sources fit the pattern. Exceptional consistency across 171 tools.
171 tools is excessive for a single MCP server. Many tools could be merged with parameters (e.g., spectral indices, change detection indexes, FIRMS queries). This volume overwhelms agent tool selection and increases cognitive load, reducing practical coherence.
The server covers an extremely broad range of domains (agriculture, conflict, cyber, environment, trade, weather, etc.) with thorough sub-tool sets. Missing a few niche capabilities (e.g., flood mapping from satellite imagery, refined demographic data) but overall feels complete for its intended scope.