MCP server

Openstreetmap

io.github.cyanheads/openstreetmap-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Geocode, reverse geocode, and run Overpass spatial queries on OpenStreetMap data.

Working at last checkAbout 7,023 tokens per request once connected6 tools

Source

https://openstreetmap.caseyjhand.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 6
Token cost: About 7,023 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http openstreetmap-mcp-server https://openstreetmap.caseyjhand.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.openstreetmap-mcp-server]
url = "https://openstreetmap.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"openstreetmap-mcp-server":{"httpUrl":"https://openstreetmap.caseyjhand.com/mcp"}}}

Cursor

{"mcpServers":{"openstreetmap-mcp-server":{"url":"https://openstreetmap.caseyjhand.com/mcp"}}}

VS Code

{"servers":{"openstreetmap-mcp-server":{"type":"http","url":"https://openstreetmap.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add openstreetmap-mcp-server https://openstreetmap.caseyjhand.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"openstreetmap-mcp-server","server_url":"https://openstreetmap.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"openstreetmap-mcp-server","server_url":"https://openstreetmap.caseyjhand.com/mcp"}

Tools

openstreetmap_lookup_objects ~452 tokens
Fetch the Nominatim address record for known OSM objects by ID, 50 per call with any more returned under deferred_ids, each prefixed N (node), W (way), or R (relation), e.g. "N240109189". Use it for IDs already in hand from openstreetmap_query_nearby or openstreetmap_query_bbox; it returns only obje
openstreetmap_query_bbox ~1707 tokens
Find OSM features inside an area via the Overpass API, for surveys of everything in a region (openstreetmap_query_nearby covers proximity to a point). Scope with the four corner fields south, west, north, east, or with within and a single OSM boundary ref such as a city relation or a park way, which
openstreetmap_query_nearby ~1398 tokens
Find OSM features within a radius of a point via the Overpass API, the tool for "what is near X?" questions. Filter with amenity, or with tag_key plus an optional tag_value, ANDing up to five more filters; every feature returns with its full OSM tag set (no extratags flag here), sorted nearest-first
openstreetmap_query_raw ~970 tokens
Run an arbitrary Overpass QL query for anything the convenience tools cannot express: multi-type or union queries, relation membership, historical queries, regex tag matching. The query must include [out:json], e.g. "[out:json][timeout:15];node[\"natural\"=\"peak\"](47.5,-122.5,47.7,-122.2);out body
openstreetmap_reverse_geocode ~638 tokens
Convert a latitude/longitude pair to the nearest address or named place via Nominatim. The result is the closest indexed OSM object at the requested zoom (18 building, 10 city), which in dense areas can be a neighbouring feature rather than the one containing the coordinate; proximity and layer pick
openstreetmap_search_places ~1858 tokens
Geocode a place name or address to coordinates and structured place data via Nominatim. Send either a free-form query or the structured address fields (street, city, county, state, country, postalcode), never both; results are the best-ranked matches, not every matching object, and matching never us

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