PlaceRoot
Ground AI agents in open map data.
PlaceRoot is an MCP server that answers spatial questions from Overture Maps — no API key, no signup, no vendor platform.
- Answers, not data dumps. Every tool returns compact, ranked results sized for an agent's context window — never a raw GeoJSON dump.
- Rich, filterable place data. Category, brand, confidence, operating status, contactability — all queryable, sourced from Overture's open dataset (contributed by Meta, Uber, TomTom, and others).
- Boundary-accurate. Search inside a named place's real administrative polygon, not just a guessed radius circle.
- Zero setup. Reads Overture's public data directly — nothing to install beyond the server itself, no key, no database.
Why PlaceRoot
It is the only keyless MCP server that does real graph routing over global open map data. isochrone and route walk an actual street graph built from Overture's transportation segments — not a straight-line approximation — anywhere on Earth, with no key, no signup, and no per-call quota. All 25 tools work that way.
What it deliberately does not do, because Overture's open data does not carry it:
- No live traffic. Routing is free-flow; durations do not reflect current conditions.
- No opening hours. Places carry categories, brands and contacts, not schedules.
- No ratings or photos. There is no review corpus and no imagery behind these answers.
If a question needs one of those three, a commercial maps API is the right tool. For where things are, what is around them, and what is reachable from them, PlaceRoot answers without a key.
Quick start
Add to Claude Desktop / Claude Code:
{
"mcpServers": {
"placeroot": {
"command": "uvx",
"args": ["placeroot"]
}
}
}
(npx placeroot also works, if you'd rather use the npm launcher: set "command": "npx".)
Or run it directly:
uvx placeroot # stdio MCP server
uvx placeroot --http # HTTP endpoint at http://127.0.0.1:8321/mcp
What it can do
25 tools, all returning compact, budgeted answers. Several single-item tools have a *_batch sibling that collapses many calls into one round-trip.
| Tool | Answers |
|---|---|
find_places |
Named places near a point or inside a named area / division polygon, nearest first — filter by category, brand, confidence, operating status, or has-website / has-phone |
summarize_area |
What's in an area: total places and top categories |
compare_areas |
2–5 areas side by side: category mix, density, and what differs most |
within_distance |
Is the nearest matching place within N meters of a point? |
distance_matrix |
Straight-line distances between many origins and destinations at once |
place_details |
One place in full: addresses, contacts, brand, sources, confidence |
admin_lookup |
The admin hierarchy containing a point: neighborhood up to country |
summarize_buildings |
Building stock in an area: count, footprint area, height and use mix |
buildings_at |
Nearest building footprints to a point |
land_use_at |
What kind of land is this: land use and land cover classification at a point |
infrastructure_at |
Infrastructure near a point, nearest first — filter by subtype/infra_class (e.g. bridge, tower) to see past the street furniture |
geocode |
Free-text place name → ranked candidates with coordinates and admin context (geocode_batch for many at once) |
resolve_place |
Free-text place reference → stable ids an agent can hold onto across turns (resolve_place_batch) |
reverse_geocode |
Point → nearest address plus its containing admin areas (reverse_geocode_batch) |
gers_lookup |
Any GERS id → the entity it names (place, division, or building), what it's inside, and the building at its point |
search_categories |
Free text → the right Overture category slug to filter find_places by |
isochrone |
The area reachable within N minutes on foot, bike, or car |
route |
Shortest-path distance and duration between two points, on foot, bike, or car |
places_along_route |
Places on the way from A to B: corridor search along the route, with each result's detour and how far along it sits |
render_map |
Any result → a self-contained interactive HTML map |
simplify_geometry |
Any geometry → simplified to fit a token budget |
data_version |
Which Overture release the answers are drawn from |
Loading fewer tools (PLACEROOT_TOOLS)
All 25 tool schemas cost roughly 9.2k tokens of every conversation's context, paid before the agent asks anything — about the cost of 70 median answers. Most installs use a slice of that surface, so PLACEROOT_TOOLS selects which tools get registered. Unselected tools are never registered and never appear in tools/list.
{
"mcpServers": {
"placeroot": {
"command": "uvx",
"args": ["placeroot"],
"env": { "PLACEROOT_TOOLS": "core" }
}
}
}
The value is a comma-separated list of profile names, tool names, or both — the union of everything named:
PLACEROOT_TOOLS |
Tools | Schema tokens | Saved |
|---|---|---|---|
unset / all (default) |
25 | ~9,190 | — |
search |
11 | ~4,240 | 54% |
core |
10 | ~4,350 | 53% |
routing |
5 | ~1,810 | 80% |
analysis |
8 | ~2,210 | 76% |
geometry |
3 | ~700 | 92% |
core—find_places,geocode,reverse_geocode,place_details,resolve_place,search_categories,summarize_area,route,places_along_route. The single-purpose tools that answer most spatial questions; no batch siblings, no buildings/land-use, no rendering.search_categoriesis in for its own reason:find_places'categoryfilter takes Overture taxonomy slugs, and a wrong slug comes back as zero results plus a note to look the slug up — a dead end without the lookup tool to call.search— the find/name/identify family:find_places,place_details,geocode,resolve_place,reverse_geocode, their*_batchsiblings,search_categories, andgers_lookup.routing—route,isochrone,distance_matrix,within_distance.analysis—summarize_area,summarize_buildings,compare_areas,buildings_at,land_use_at,infrastructure_at,admin_lookup.geometry—simplify_geometry,render_map.
data_version is registered under every profile: it is ~120 tokens and the only way an agent can tell which Overture release backs its answers.
Profiles may overlap, and a list may mix them with bare tool names — PLACEROOT_TOOLS=routing,find_places or PLACEROOT_TOOLS=find_places,geocode,route. A name that is neither a profile nor a tool fails at startup with the list of valid names, rather than quietly falling back to loading everything. The server logs one line at startup naming what it registered (registered 10 of 25 tools (PLACEROOT_TOOLS=core)), so a selection that didn't apply — an empty value, a variable that never reached the process — is visible rather than silently the full 25.
Design notes
Agents are bad at maps. Existing map tools either require vendor API keys or return payloads far too large for a context window. PlaceRoot's rule: every answer fits in a couple of thousand tokens, and anything bigger comes back as a summary.
A few things that set it apart:
- Stable place ids. Every place carries its Overture GERS id, so an agent can hold onto a place across turns and look it up again later instead of re-searching.
- Built-in geocoding. Place-name lookup works out of the box — no third-party geocoding service involved.
- Fast repeat queries. Frequently used data is cached locally, so repeat questions answer in milliseconds and keep working offline.
- Self-hostable end to end. Run it locally, serve it over HTTP, or point it at your own copy of the data — no dependency on anyone else's service.
Development
uv sync # install dev dependencies
uv run pytest # offline test suite
uv run ruff check .
Docs
- ROADMAP.md — where this is going · PLAN.md — product plan and positioning
- docs/benchmarks.md — token efficiency: per-answer cost, and the schema surface it's paid against
- docs/PUBLISHING.md — how releases reach PyPI + npm
- docs/WEBSITE.md — the marketing site: serve locally and deploy
- docs/MIRROR.md · docs/METRICS.md · docs/launch/
License
MIT
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