Overview of the MCP Server for OpenStreetMap
The MCP Server for OpenStreetMap is a revolutionary implementation designed to enhance the capabilities of Large Language Models (LLMs) by providing them with robust location-based services and access to comprehensive geospatial data. This powerful server acts as a bridge, allowing AI models to seamlessly interact with and harness the vast resources of OpenStreetMap. By integrating MCP Server into your applications, you unlock a plethora of possibilities for geocoding, reverse geocoding, route direction, and much more.
Key Features
Geocoding and Reverse Geocoding
The MCP Server empowers applications to convert text-based addresses and place names into precise geographic coordinates. Conversely, it can also transform coordinates back into human-readable addresses, facilitating seamless navigation and location-based queries.
Points of Interest and Route Directions
Discover nearby points of interest with ease. Whether you’re searching for restaurants, parks, or historical landmarks, the MCP Server efficiently identifies and lists nearby locations. Additionally, it provides detailed route directions between specified locations, making it an invaluable tool for travel and transportation applications.
Advanced Location Search
With the ability to search for places by category within a defined bounding box, users can effortlessly locate specific amenities or services. Whether you’re looking for schools, hospitals, or entertainment venues, the MCP Server streamlines the search process.
Meeting Point Optimization
The server offers a unique feature that suggests optimal meeting points for multiple individuals. This is particularly useful for coordinating meetups in urban areas, ensuring convenience and efficiency for all parties involved.
Comprehensive Neighborhood Exploration
Gain in-depth insights into neighborhoods with the MCP Server’s comprehensive location information. From analyzing commute options to evaluating livability for real estate purposes, the server provides a wealth of data to aid decision-making.
EV Charging Stations and Parking Facilities
Locate electric vehicle charging stations with specific connector types and power filtering options. Additionally, the server helps users find parking facilities, complete with availability and fee information, enhancing the overall travel experience.
Use Cases
Real Estate Decision Making
For individuals or businesses considering property investments, the MCP Server offers tools to evaluate potential neighborhoods. By analyzing commute options, nearby schools, and overall livability, users can make informed decisions about where to buy or rent.
Travel and Transportation
Travelers can leverage the MCP Server to plan efficient routes, explore points of interest, and find convenient meeting spots. The server’s geospatial tools ensure that users have access to the most relevant and up-to-date location data.
Urban Planning and Development
Urban planners and developers can utilize the server’s capabilities to assess infrastructure needs, plan public transportation routes, and identify areas for development. The comprehensive data provided by the MCP Server is invaluable for strategic urban planning.
About UBOS Platform
UBOS is a full-stack AI Agent Development Platform dedicated to integrating AI Agents into every facet of business operations. Our platform facilitates the orchestration of AI Agents, connecting them with enterprise data, and empowering businesses to build custom AI solutions using LLM models and Multi-Agent Systems. By leveraging the capabilities of the MCP Server, UBOS enhances the potential of AI Agents to deliver location-based insights and services, driving innovation across industries.
In conclusion, the MCP Server for OpenStreetMap is an indispensable tool for any business or application seeking to harness the power of geospatial data and location-based services. Its diverse features and seamless integration capabilities make it a standout solution in the realm of AI and geospatial technology.
OpenStreetMap Server
Project Details
- jagan-shanmugam/open-streetmap-mcp
- MIT License
- Last Updated: 4/21/2025
Recomended MCP Servers
MCP Documentation Server with AI Learning Capabilities
A Model Context Protocol (MCP) server that provides call graph analysis capabilities to LLMs through the nuanced library
The MCP Server support your LLMs integrate with SQL Database (SQLite, SQL Server, Postgres SQL)
Python tool for converting files and office documents to Markdown.
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
A Minimum Control Program (MCP) server implementation for web browsing capabilities using BeautifulSoup4
simple logseq mcp server
A minimal MCP Server based on the Anthropic's "think" tool research
A Model Context Protocol (MCP) server that provides Trivy security scanning capabilities through a standardized interface.
Allows LLM agents to control a local chrome instance without taking screenshots
AI-Powered Revit Modeling





