Skip to main content

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%
  • corefind_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_categories is in for its own reason: find_places' category filter 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 *_batch siblings, search_categories, and gers_lookup.
  • routingroute, isochrone, distance_matrix, within_distance.
  • analysissummarize_area, summarize_buildings, compare_areas, buildings_at, land_use_at, infrastructure_at, admin_lookup.
  • geometrysimplify_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

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

placeroot-0.6.0.tar.gz (805.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

placeroot-0.6.0-py3-none-any.whl (185.2 kB view details)

Uploaded Python 3

File details

Details for the file placeroot-0.6.0.tar.gz.

File metadata

  • Download URL: placeroot-0.6.0.tar.gz
  • Upload date:
  • Size: 805.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for placeroot-0.6.0.tar.gz
Algorithm Hash digest
SHA256 317d99adf8eb34305bbb4e2545545b050c8d8b6b72f9fe71eca52f9a4e06ac0a
MD5 91380cdb9ad71136578046cf34e63bd9
BLAKE2b-256 81a9568729f42f5b4f86ec0a1455f8c60adeee886260e4fe4cb4978809baff16

See more details on using hashes here.

Provenance

The following attestation bundles were made for placeroot-0.6.0.tar.gz:

Publisher: release.yml on chuofringer/placeroot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file placeroot-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: placeroot-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 185.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for placeroot-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 be62461ba7f19cc39ffb9ab28528bbbeef0abeb2934d9eb9d116b4c84397eef8
MD5 527d6fad0d896e91e4165d343e9cb2f7
BLAKE2b-256 b78aa8cedfc01c2ff1b77e1102c6dd35e3aff09da3ca310749f77468a6cb8ff3

See more details on using hashes here.

Provenance

The following attestation bundles were made for placeroot-0.6.0-py3-none-any.whl:

Publisher: release.yml on chuofringer/placeroot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page