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.
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.
A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.
MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.
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 for HamQTH.com — callsign lookup, DX cluster spots, Reverse Beacon Network, DXCC resolution, and more through any MCP-compatible AI assistant.
Enables integration with Kagi search engine services including web search, content summarization from URLs, and AI assistant conversations. Uses session tokens to access Kagi's search API, summarizer, and AI models directly within MCP-compatible applications.
Provides access to Agno framework documentation for AI agents, enabling search and retrieval of SDK references, API endpoints, code examples, and integration guides through MCP-compatible tools.
A local MCP server providing free network access capabilities including HTTP requests, web search, webpage content extraction, and optional screenshots, designed for integration with Claude Desktop or Claude Code.
