"Understanding local computer vision models like YOLO" matching MCP servers:

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.

Connects to Kakao Local API and Kakao Maps, enabling access to location-based services and map functionality in Korea.

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.

Local MCP server that exposes fleet telemetry queries as tools for language models, enabling natural language questions about vehicle positions, trips, and alerts. Runs on the operator's machine and returns aggregated results from a SQLite database.

MCP server for discovering French local natural, technological, and industrial risks at commune level using Géorisques, administrative references, and open risk datasets. It provides tools to query risk sources, datasets, and commune briefs.

Enables access to Google Maps business data including search, reviews, photos, and geocoding. Supports searching businesses by location, area, or coordinates, retrieving detailed business information, reviews, and performing reverse geocoding operations.

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

A Multi-Agent Conversation Protocol Server that provides access to Google's Local Services API, enabling interaction with local service businesses information through natural language commands.

Provides a health check and a get_weather tool to query current weather by city name via HTTP, designed for integration with Dify.

Enables discovery and scoring of independent local businesses by inverting algorithmic rankings that favor chains, using Google Places API with an opinionated independence-scoring engine.

A situational local recommendation MCP server that classifies user mood, energy, time, and budget to generate three actionable choices with search keywords and disclosure policy.

Provides real-time weather forecasts and international time details through MCP tools, including geocoding, hourly/daily forecasts, and timezone information for any city.

Enables AI assistants to discover and book local service businesses like barbers, plumbers, and mechanics directly through MCP-compatible tools.

A local MCP server that converts timestamps between time zones using IANA time zone rules, exposing a single convert_time tool.

On-demand live vision MCP for AI agents — open a session at a lat/lng, receive a JPEG snapshot or WebRTC stream, settled per-second in USDC on Base. Four tools (get_session, get_frame, get_stream_url, cancel_session); currently Base Sepolia testnet.

A server that enables AI models to fetch and display Google Street View imagery, allowing users to create virtual tours by viewing streets and landmarks from anywhere.

Provides location-based place recommendations in South Korea using the Kakao Map API, optimized for Korean language queries. Supports recommending various places like restaurants, shops, public facilities, and tourist attractions based on user queries.

MCP server that connects AI models to Swiss federal geodata, offering tools for spatial queries like layer discovery, coordinate identification, building zones, and terrain heights.

MCP server that provides tools to access Google Maps Environment APIs for air quality, pollen, and weather data, enabling queries like current conditions, forecasts, and history.

Enables AI agents to use Kakao's Local, Search, and Vision APIs for address conversion, place search, web/blog/search, and OCR, requiring only a REST API key.