"SEO" matching MCP servers:

Serves country facts, administrative boundary GeoJSON, and per-region population, area, and capital statistics as structured data, letting an AI assistant build interactive maps, comparisons, and multilingual geography content instead of reciting prose. It also normalises region names across sources so boundary shapes can be joined to their statistics.

Enables AI agents to compute optimized routes, geocode locations, generate distance matrices, cluster points, check boundaries, and manipulate GeoJSON through MCP tools.

Location & routing intelligence for AI agents — geocoding, truck routing, traffic, weather, and place search.

Enables AI assistants and MCP clients to run Google Maps geo-grid rank tracking for local SEO, producing heatmaps, competitor insights, historical trends, and scheduled measurements.

Enables an AI assistant to run audit-style GIS checks on real spatial files for carbon projects: stratum areas in an equal-area CRS, declared vs. calculated area, overlaps, plot placement, forest loss by year and attribute completeness. Every result reports the CRS used and what data was missing, so answers come from actual geoprocessing rather than guesses.

OSM-backed multimodal navigation MCP server enabling geocoding, route planning, POI discovery, and urban layout analysis. It provides a structured city graph to LLM apps without proprietary map APIs.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth-observation catalogs such as Sentinel-2, Landsat, and Copernicus DEM, with zero API keys or configuration. It supports place-name geocoding, STAC scene search, cloud-native COG streaming for spectral indices, elevation profiles, SAR flood detection, and sandboxed custom geospatial scripts.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth observation archives. Provides tools for STAC search, spectral indices, elevation profiles, SAR water detection, and sandboxed geospatial scripting.

Enables natural language interaction with a GeoServer instance for managing workspaces, datastores, feature types, layers, styles, and OGC services (WMS/WFS) via an LLM-powered agent.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Enables agents to read and stage geospatial datasets via Geo Hub, with read-only and controlled staging tools.

Provides address validation and geocoding for 240+ countries, including UK Royal Mail PAF and US/Canada census enrichment. Enables batch validation, forward/reverse geocoding, UK postcode expansion, and automatic refunds for failed lookups.

Reconciles Wikidata items against OpenStreetMap features, yielding verdicts (matched, ambiguous, unmatched, error) based on existing wikidata tags, cross-lingual name agreement, and distance, with support for SPARQL selectors to define item sets.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

MCP server for finding nearby public toilets in Seoul, with real-time open status and accessibility filters.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.

Enables searching Google Local for businesses by keyword and location, returning details like name, address, phone, hours, ratings, and more. Useful for lead generation, local SEO, and market analysis.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Geocoding MCP server with GeoPY!

Enables geocoding (address to coordinates and reverse) and distance calculations for AI agents with per-call micropayments in USDC, no API keys required.

Enables geographic utilities from public APIs: geocoding addresses and places, reverse geocoding coordinates, retrieving country details, timezone data, and sunrise/sunset times through natural language requests.

Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

Free geospatial MCP server for AI agents, providing geocoding, reverse geocoding, POI search, and route planning using OpenStreetMap data via Nominatim, Overpass, and OSRM.

Enables Claude to plan search-and-rescue operations on CalTopo maps by measuring terrain, staging areas, hasty search lines, parking, helicopter landing zones, egress routes, walking-time rings, hospitals, and urban assignments, and by exporting results as GeoJSON draft assignments. It is read-only and returns facts for human decision-making.

Enables querying real-time air quality data by region in Seoul, South Korea, using the Seoul Open Data Platform API, supporting multiple regions and monitoring stations.

Gives AI agents pay-per-call access to live Google search results, keyword and SEO data, Maps places, e-commerce product prices and exchange rates, letting them find tools by describing the job and see the price before each run. Failed calls are never charged, and usage is drawn from a single prepaid balance with no subscription.

Enables visualizing GeoJSON data on an interactive map directly in Claude Desktop, allowing users to request maps of information found or generated.

Integrates EdgeOne Pages Functions with large language models to retrieve and utilize user geolocation information through the Model Context Protocol (MCP).