"Understanding Document Embeddings, Knowledge Graphs, and Vector Representations" matching MCP servers:

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables interactive GSI map viewing with layer switching, location search, and tile info retrieval within chat.

Enables AI assistants to validate and standardize US addresses using the official USPS Address Validation API with secure OAuth2 authentication.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

Enables reading and analysis of vector spatial data through Claude Desktop, supporting formats like FileGDB, Shapefile, GeoJSON, and GeoPackage with tools for layer listing, schema inspection, field statistics, feature extraction, and interactive map rendering.

Provides AI agents access to OpenStreetMap's comprehensive tagging knowledge base, enabling tag queries, preset discovery, and validation of OSM tags for mapping applications.

Provides spatial context and geographic data access for LLMs through France's Géoplateforme services, including geocoding, altitude queries, administrative boundaries, cadastral data, and vector data exploration.

An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

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.

Enables Claude to work with QGIS 4.x headlessly by loading vector and raster layers, running Processing algorithms and field calculations, styling layers, and exporting maps or PDF layouts without opening QGIS Desktop.

Enables clients to create, query and edit QGIS projects and vector data in an isolated, new headless PyQGIS process, exporting GeoJSON/GeoPackage, saving and reopening editable QGZ bundles, and rendering PNG maps through typed MCP tools. All operations are workspace-relative with strict path and geometry validation, and never attach to or modify a running QGIS desktop session.

An MCP server providing geospatial analysis tools for raster and vector data, integrated with a reflection system that requires AI agents to justify their methodological decisions. It enables accurate mapping and spatial operations by ensuring reasoned choices for coordinate systems, resampling, and data transformations.

An MCP-native enterprise operations platform that unifies team management, product catalog, order processing, knowledge base, location intelligence, analytics, and DevOps monitoring into a single server accessible from any MCP-compatible AI agent.

Converts raster and vector geospatial data into H3-indexed Parquet files and serves them via a local MCP server with DuckDB SQL querying.

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.

Enables structured real estate workflows including property search, agent/client management, market intelligence, mortgage calculations, valuation, investment analysis, and document ingestion, with offline-first capabilities and optional live data integrations.

Exposes ArcGIS Pro geoprocessing capabilities to LLMs via the arcpy library, enabling automated spatial analysis and data management. It provides a comprehensive suite of tools for vector geoprocessing, terrain analysis, and raster operations designed for GIS workflows.

Enables document storage and semantic search with geospatial filtering using Qdrant, and coordinate conversion between TLC, Plasma, and addresses.

Enables searching and retrieving environmental impact assessment projects from the Korean EIASS system, including document keyword search, PDF text extraction, geocoding, and checking adjacency to protected areas like national parks.