PlaceRoot

PlaceRoot

PlaceRoot is an MCP server that answers spatial questions using open map data from Overture Maps, without requiring API keys or signup. It provides tools for place search, area analysis, routing, and geometry operations.

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README

<p align="center"> <a href="https://placeroot.dev"> <picture> <source media="(prefers-color-scheme: dark)" srcset="site/og-image-dark.png"> <img src="site/og-image.png" width="100%" alt="PlaceRoot — Ask about anywhere. Get a real answer. Open map data for your AI — free, no account, no API key."> </picture> </a> </p>

<p align="center"> <a href="#quick-start">Quick start</a> · <a href="#what-it-can-do">Tools</a> · <a href="docs/REFERENCE.md">Reference</a> · <a href="docs/benchmarks.md">Benchmarks</a> · <a href="https://placeroot.dev">Website</a> </p>

<p align="center"> <a href="https://github.com/chuofringer/placeroot/actions/workflows/ci.yml"><img src="https://github.com/chuofringer/placeroot/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="https://pypi.org/project/placeroot/"><img src="https://img.shields.io/pypi/v/placeroot" alt="PyPI"></a> <a href="https://www.npmjs.com/package/placeroot"><img src="https://img.shields.io/npm/v/placeroot" alt="npm"></a> <a href="https://pypi.org/project/placeroot/"><img src="https://img.shields.io/pypi/pyversions/placeroot" alt="Python versions"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License: MIT"></a> </p>

PlaceRoot grounds AI agents in open map data. It's an MCP server that answers spatial questions — what's nearby, what's in this neighborhood, how do I get there — from Overture Maps open data. 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.
  • 🗺️ Real routing, zero keys. route and isochrone walk an actual street graph built from Overture's transportation segments — not a straight-line guess — anywhere on Earth.
  • 🏙️ Rich, filterable place data. Category, brand, confidence, operating status, contactability — 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 a guessed radius circle.
  • Zero setup. Reads Overture's public data directly — no key, no database, nothing to install beyond the server itself.

Quick start

Run it straight from PyPI or npm — no install step:

uvx placeroot             # stdio MCP server
uvx placeroot --http      # HTTP endpoint at http://127.0.0.1:8321/mcp

<details> <summary><b>Add to Claude Code</b></summary>

claude mcp add placeroot -- uvx placeroot

</details>

<details> <summary><b>Add to Claude Desktop</b></summary>

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "placeroot": {
      "command": "uvx",
      "args": ["placeroot"]
    }
  }
}

</details>

<details> <summary><b>Add to Cursor / other MCP clients</b></summary>

Same config as above wherever your client keeps its MCP server list. Prefer npm? Use "command": "npx", "args": ["placeroot"].

{
  "mcpServers": {
    "placeroot": {
      "command": "npx",
      "args": ["placeroot"]
    }
  }
}

</details>

Then ask your agent something spatial:

"What's around downtown Palo Alto?" · "Compare these two neighborhoods for a bike shop." · "Plan my errands: pharmacy, hardware store, post office."

What it can do

29 tools, grouped into four families — every answer fits in a couple of thousand tokens:

Family Tools Answers questions like
🔍 Search & identify find_places, geocode, reverse_geocode, place_details, search_categories, … What cafés are near this point? What's at this address?
📊 Area analysis summarize_area, compare_areas, summarize_buildings, land_use_at, … What's in this neighborhood, and how does it differ from that one?
🚴 Routing route, isochrone, optimize_route, places_along_route, distance_matrix How far by bike? What's reachable in 15 minutes? Best order for 6 stops?
🗺️ Geometry & maps render_map, simplify_geometry Show me this result as an interactive map

It also ships three workflow prompts (site selection, neighborhood comparison, errand planning) and two attachable resources — and a PLACEROOT_TOOLS setting to load only the tool profiles you need, cutting schema overhead by up to 96%.

📚 Full tool catalog, prompts, resources & configuration → docs/REFERENCE.md

[!NOTE] Open data has honest limits: no live traffic, no opening hours, no ratings or photos — what PlaceRoot deliberately doesn't do. For everything else about where things are and what's reachable from them, it answers without a key.

Why PlaceRoot

It's the only keyless MCP server doing real graph routing over global open map data — with every tool declaring proper MCP annotations so clients know which calls are read-only before prompting you. Stable GERS ids let agents hold onto places across turns; local caching makes repeat queries answer in milliseconds and keeps working offline; and the whole thing is self-hostable end to end.

How it stacks up against Mapbox MCP and Google Maps MCP: head-to-head benchmarks · token-efficiency numbers.

Recreation places

Overture's places theme is derived from business listings, which makes it strong on businesses and thin on the places a family goes on a Saturday — playgrounds, neighbourhood parks, dog parks, beaches. Those features aren't missing from Overture, though; they're in a different theme. Overture's base theme is a direct conflation of OpenStreetMap, and PlaceRoot already queries it for land_use_at and infrastructure_at. The places tools read it too, by default.

Nothing is downloaded, built, or hosted — it's one more live scan of the same public Overture release, and it roughly 2.5xes playground coverage (1,552 vs 674 across New York City in release 2026-07-22.0, with 1,013 of them more than 150 m from any places-theme playground). Every places tool answers from both at once, with no other change: same tools, same response shape, same category filters.

The cost is a second dataset scan per places query (cached like everything else), and these rows carry no confidence or operating_status and are often unnamed — an unnamed playground comes back with name: null rather than being dropped. If you'd rather have the latency than the coverage:

export PLACEROOT_RECREATION_LAYER=0

data_version reports the layer whenever it's active. Full details, including why live Overpass queries and raw OSM Parquet were measured and rejected: docs/RECREATION.md.

Development

uv sync           # install dev dependencies
uv run pytest     # offline test suite
uv run ruff check .

See CONTRIBUTING.md for dev setup, design rules, and how to propose a tool. Other docs: CHANGELOG · SECURITY · publishing · website · running a data mirror · the recreation layer

Contact

hello@placeroot.dev

License and attribution

The code is MIT. The data it queries is the Overture Maps public release, licensed per theme — places under CDLA-Permissive-2.0; the OSM-derived themes (divisions, transportation, base) under ODbL, which asks for attribution on anything user-facing you build from them:

© Overture Maps Foundation · © OpenStreetMap contributors (ODbL)

Per-theme obligations: docs/DATA-LICENSE.md.

<p align="center"> <img src="https://placeroot.dev/logo-mark.svg" width="48" alt="PlaceRoot logo mark"> </p>

<sub>mcp-name: io.github.chuofringer/placeroot</sub>

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