Osmmcp by Nervsystems is an OpenStreetMap Model Context Protocol (MCP) server, built using Go. It connects to OpenStreetMap data to deliver precision geospatial tools, specifically designed to enhance Large Language Models and AI agents. Distributed as a source-built binary, Osmmcp provides essential location-based functionalities, enabling advanced geographic queries and analyses. It integrates with any MCP-compatible client, including the Claude Desktop Client, Cursor, and Windsurf, extending AI capabilities for urban planning, real estate, and trip planning.

What does Osmmcp connect to?

Osmmcp functions as an OpenStreetMap Model Context Protocol server, establishing connections to OpenStreetMap data. This integration allows it to offer a suite of precision geospatial tools tailored for Large Language Models. Its architecture supports standard input/output (stdio) for MCP requests, ensuring compatibility with various MCP-compatible clients and LLM integrations. Specific hosts like Claude Desktop Client, Cursor, and Windsurf can readily utilize Osmmcp's capabilities, bridging LLMs to rich geographic information.

Core features and tools

Osmmcp exposes a rich set of callable tools for geospatial operations. These include get_map_image for SVG map images, geocode_address to convert text to coordinates, and reverse_geocode for coordinates to addresses. It also offers find_nearby_places, get_route_directions, search_category, and suggest_meeting_point. For in-depth analysis, there are explore_area, find_schools_nearby, analyze_commute, locate_ev_charging_stations, perform_neighborhood_livability_analysis, and find_parking_facilities.

Who is it for?

Osmmcp is intended for Large Language Models and AI agents that require advanced geospatial capabilities. It serves developers and researchers looking to augment AI with location-based querying, analysis, and visualization. Its tools support diverse applications from urban development to travel planning. The program is particularly useful for those building AI solutions that need to interact with real-world geographical data. Skip this if your AI applications do not require OpenStreetMap Model Context Protocol server capabilities.

How to get started

No credentials are required. It communicates via standard input/output for MCP requests.

Use cases

• Enabling LLMs to perform geocoding, routing, and map visualization for location-based queries.
• Facilitating neighborhood analysis for urban planning or real estate by providing tools for livability scoring and amenity discovery.
• Assisting in trip planning for electric vehicles by locating EV charging stations near a location or along a route.

Osmmcp offers a specialized set of geospatial tools, built in Go, to empower Large Language Models and AI agents with location intelligence. Its direct connection to OpenStreetMap data, delivered through an MCP server, supports complex geographical queries and analyses for diverse applications. The range of tools, from geocoding to EV charging station location, makes it valuable for AI-driven projects. Start by exploring its geocoding capabilities with an MCP-compatible client.