The TeslaMate MCP server is a model context protocol server that connects to the TeslaMate database, providing tools for AI assistants to query Tesla vehicle data and analysis, including functions such as vehicle information, driving statistics, charging data, battery health, and location analysis.

This project includes two MCP servers: OnePiece for querying anime character information and IP address geographical location query services. It is developed using TypeScript and can be integrated with AI clients through standard input and output.

The MCP server of IPLocate.io provides comprehensive data query services for IP addresses, including geographical location, network information, privacy detection, and abuse contact information.

MCP-NAVER-Map is an MCP server integrating Naver Cloud's geolocation and route APIs, providing IP location and route query functions.

NetworksDB-MCP is a powerful tool that integrates the Model Context Protocol (MCP) server with NetworksDB, supporting the query of network intelligence, IP geographical locations, organization details, and DNS information through natural language.

A LinkedIn job search service based on the Model Context Protocol (MCP), which implements job search, detail retrieval, and location query functions through the RapidAPI LinkedIn Data API.

A lightweight geographical location query MCP service based on IP addresses, providing detailed IP location information.

This project demonstrates how to integrate MCP support of Spring AI in a Spring Boot application, including geocoding and time zone query services, and provides geographic location information through LLM interaction.

This is an MCP server project based on Spring Boot and Spring AI, specifically designed for querying Java conference information. It obtains conference data by parsing public README files on GitHub and provides utility functions for AI models to retrieve information such as conference names, CFP links, locations, and CFP status.

This project is an intermediate server that connects the Recurse Center API with AI tools, enabling AI assistants to query information about Recurse Center members, batches, and locations through the Model Context Protocol (MCP).

A weather query MCP server based on the wttr.in service, providing current weather and multi - day forecast functions for locations worldwide, supporting Chinese and English location queries, and can be easily integrated into MCP client applications.

A weather query server based on the MCP protocol, supporting multiple location queries, real-time weather, and weather forecast functions. It uses a free API without the need for a key.

This project provides a Model Context Protocol (MCP) server based on the official API of the Korea Tourism Organization (KTO), enabling AI assistants to query detailed information about Korean tourist attractions, cultural events, dining, and accommodation. It supports multi - language search, location awareness, caching, and automatic retry functions, and can be run directly through Docker or Python.

An MCP server that provides the function of querying the location of a mobile phone number, capable of querying information about the province, city, and operator.

A server based on the MCP protocol that enables AI assistants to query the geographical location information of IP addresses through the IP Find API.

A location query service based on the MCP protocol, providing IP positioning and latitude - longitude query functions

Looking-Glass-MCP is an innovative MCP server that provides network probing capabilities through globally distributed Looking Glass nodes, supporting concurrent execution of network diagnostic operations such as ping, BGP route query, and traceroute at multiple locations.

Airbnb search and listing information desktop extension, providing advanced search filtering functions and detailed listing information retrieval. It supports various query conditions such as location search, date filtering, and price range, and complies with the robots.txt protocol to ensure compliant use.

Said MCP is a real-time weather query service implemented based on the MCP protocol. It obtains precise geographical location and weather data through the Open-Meteo API and provides information such as temperature and precipitation.

Develop a toolset that includes menu category query, menu item query, and nearby store location functions