"Improving React Native Development Experience" matching MCP servers:

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

MCP server for Kids Experience Radar, enabling users to search and retrieve local kids experience events and programs from verified official sources with location-based filtering and daily digest support.

Enables AI assistants to search local businesses in the Western Cape by category, town or name, read menus and price lists, and view public business details. Users can also start a quote, booking or order request that they finish in WRDO.

AI-native travel search MCP with affiliate booking links and optional x402 premium intelligence.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

This MCP server provides access to TripAdvisor data for planning vacations, enabling users to search for and get details about locations, attractions, restaurants, and hotels through an interactive planning experience.

A local MCP server that enables AI clients to read ArcGIS Pro project information and execute ArcPy geoprocessing in the native ArcGIS Pro Python environment.

Enables MCP clients to use DataCore's data skills as native tools for Vietnamese address normalization, address validation, company lookup, and text embedding generation, all with read-only access.

MCP server providing tools for spatial grid applications including calculations, MongoDB management, asset management, project creation, and experience publishing.

Enables creating themed SVG maps, GeoJSON data, projections, React components, and embeddable map builders through natural language requests.

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.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.

An MCP server that provides current weather, hourly and 7-day forecasts, and air quality data for any city or zip code, with an interactive React UI and support for both stdio and HTTP transports.

Lets coding agents add working maps to apps by creating API keys, geocoding and reverse-geocoding addresses, getting MapLibre snippets for HTML, React, Vue or Svelte, and monitoring or lowering prepaid usage budgets.

Provides real-time access to Bangalore's public transportation information including bus tracking, schedules, routes, and service updates to improve passenger experience.

An AI-native restaurant discovery service that enables searching and receiving natural language recommendations for over 2,200 restaurants across 15+ US cities. It provides tools for accessing detailed restaurant info, curated lists, and cuisine-specific searches through the Model Context Protocol.

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.

Gives AI assistants map capabilities — geocoding, places search, routing, distance matrices, isochrones and static maps — from Google Maps Platform, OpenStreetMap, open-source routing engines and open geocoders behind one provider-agnostic tool surface. Early development: both stdio and streamable HTTP transports run and a ping tool is exposed, but provider adapters are not yet implemented.