What external services does the server depend on?
The server uses the OSRM routing service for route fetching and OpenStreetMap API data for queries. Polyline tools are self‑contained.
OpenStreetMap MCP Server
@NERVsystems
基本信息
关于 OpenStreetMap MCP Server
OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.
OpenStreetMap MCP Server 配置
OpenStreetMap MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is OpenStreetMap MCP Server?
OpenStreetMap MCP Server is a Go implementation of the Model Context Protocol (MCP) that enables LLMs to interact with geospatial data from OpenStreetMap. It provides a suite of tools for geocoding, routing, place discovery, and geographic analysis, designed for precision, performance, and ease of integration with MCP desktop clients.
How to use OpenStreetMap MCP Server?
The server is configured and invoked through MCP‑compatible desktop clients. It exposes a set of tool endpoints (e.g., geocode_address, route_fetch, find_nearby_places) that accept JSON parameters. No specific installation or configuration commands are detailed in the README beyond the standard MCP setup.
Key features of OpenStreetMap MCP Server
- Geocoding and reverse geocoding of addresses and coordinates
- Route fetching and turn‑by‑turn directions via OSRM
- Finding nearby points of interest by category and radius
- Bounding box, centroid, and distance calculations
- Polyline encoding/decoding and route sampling
- EV charging station and parking facility queries
- Neighborhood livability and commute analysis
- Map image retrieval in SVG format with metadata
Use cases of OpenStreetMap MCP Server
- Build AI‑powered travel planners that suggest meeting points and routes
- Automate real‑estate relocation analysis with livability scores
- Enable conversational search for amenities like schools, cafés, or EV chargers
- Analyze commute options between home and work locations
- Generate visual map snapshots for location‑aware applications
常见问题
How are errors handled during geocoding?
Enhanced error responses include structured error codes, diagnostic messages, and specific suggestions for fixing failed queries.
Can I combine tools for custom workflows?
Yes. Tools are designed as composable primitives with uniform interfaces, allowing LLMs to chain them (e.g., `bbox_from_points → osm_query_bbox → filter_tags → sort_by_distance`) for unforeseen workflows.
What transport does the server use?
The server implements the Model Context Protocol (MCP) standard. No specific transport (stdio/HTTP) is mentioned in the README beyond the MCP framework.
What runtime environment is required?
The server is written in Go and runs as a standalone binary. No additional runtime dependencies are listed.
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