PlaceRoot
PYPI · PLACEROOT · 2 COMPONENTS
Grounds AI agents in Overture Maps open data — compact answers, no API key.
Available components
Last scanned (1 hour ago)
Scores higher than 95% of PyPI servers
Category Maps and Location
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 31 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to chuofringer/placeroot). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 17 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 26892 tokens (~527/item across 51 items; 48 tools + 3 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage74
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 11% of tool parameters carry a description.Partial
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 48 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 50 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Oct 26 0
- Stability: 0.97 → pass security
- 30 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.97 functional
- 24 Oct 26 0
- Stability: 0.97 → pass security
- 23 Oct 26 0
- Stability: pass → 0.97 functional
- 20 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 19 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.11.0 → 0.12.0 functional
- 17 Oct 26 0
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed pypi/placeroot@0.12.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | chuofringer/placeroot |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/chuofringer/placeroot/.github/workflows/release.yml@refs/heads/main |
| Rekor log index | 3318874511 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:41c9c87cb2df4ded459424bc01826ad7ff368b9104c73c0d6144985daaed3816 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 31 packages
| Packages resolved | 31 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
water_near Water near a point ~546
Water near a point, nearest first: waterfront check, distance to river/canal/lake. From Overture's base theme (issue #200), type=water — oceans, bays, lakes, ponds, reservoirs, rivers, streams, canals, springs, pools. Returns {"center", "radius_m", "in_range_count", "results": [{"name" (when named), "subtype", "class", "distance_m", "is_salt"/ "is_intermittent" (only when true)}, ...]}, plus "truncated": true and a "note" when more matched than were returned. No raw geometry. distance_m is to the closest point on the feature, not its centroid — a canal bank you are standing on reads ~0 m. Water gets dense (an Amsterdam canal district puts hundreds of rows in a 500 m circle), which is what in_range_count and the filters are for: subtype/water_class match Overture's `subtype`/`class` columns (case-insensitive substring; water_class is `class` under a non-reserved name) — e.g. subtype="canal", subtype="river", water_class="lake". "on_water": true plus "water_body" means the point is *inside* a water polygon — a lake, a reservoir, a river. For oceans and seas that is a coarse signal: Overture cuts them into 1-degree tiles whose landward edge covers dry coastal land, so a waterfront building reads as inside the ocean. Those bodies are reported this way rather than as a bogus 0 m "nearest water" row, and no distance-to-coast is derived from them (their tile boundaries include phantom cuts through open water), which also means subtype="ocean" cannot return distance rows. Lakes and rivers carry none of that: however large, they appear in results with a real edge distance. The "note" says which case applies. An empty results list is a valid answer: coverage is OSM-derived, and "no water within 500 m" is a real finding about an arid or unmapped place. radius_m echoes the effective radius (large values are clamped). Returns a structured {"error": ...} if upstream is unavailable or the dataset is missing geometry/bbox, and {"error": "bad_request"} for a bad coordinate.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | – |
| limit | integer | – | – |
| lon | number | yes | – |
| radius_m | number | – | – |
| subtype | – | – | – |
| water_class | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
within_distance Check within distance ~379
Is the nearest place matching category/name within max_distance_m of (lat, lon)? Give the center as lat/lon, or as `where` — a {"lat", "lon"} dict, a GERS id, or a free-text place name — but not both (and not neither); either way returns {"error": "bad_request"} naming the choice. A `where` given as an id/name adds a compact "resolved": {"name", "id", "lat", "lon", "matched_by"} to the answer; absent for lat/lon or a {lat,lon} where. max_distance_m is required and must be a positive number of meters — a zero, negative, non-finite, or missing value returns {"error": "bad_request"} rather than silently searching a 0m (or omitted from a call entirely, in which case the schema itself rejects it before this tool ever runs) window and answering a confident-looking "false". Returns {"within": bool, "nearest": {...place row with id...} | None, "distance_m": float | None}. nearest is None if nothing matches within a search window capped at max_distance_m * 2 — a real match further out than that isn't found (documented, not a bug: keeps the search bounded). name is a literal substring match only — no alt-spelling or typo fallback applies here, so a misspelled name is an honest "no match", never a silent yes about a different name. Returns a structured {"error": ...} if upstream is unavailable or the dataset is missing columns this tool depends on.
| Name | Type | Req | Description |
|---|---|---|---|
| category | – | – | – |
| lat | – | – | – |
| lon | – | – | – |
| max_distance_m | number | yes | – |
| name | – | – | – |
| where | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the PlaceRoot MCP server?
PlaceRoot runs locally as a PyPI package, launched with uvx placeroot. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · placeroot
claude mcp add chuofringer-placeroot -- uvx placeroot
What is the PlaceRoot MCP server?
PlaceRoot is an MCP server listed in the public MCP registry as io.github.chuofringer/placeroot. Grounds AI agents in Overture Maps open data, compact answers, no API key. This page covers its PyPI package (placeroot).
Is the PlaceRoot MCP server safe to use?
PlaceRoot scores 92 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the PlaceRoot MCP server expose?
PlaceRoot exposes 48 tools: find_places, summarize_area, place_details, within_distance, distance_matrix, and 43 more. Their descriptions and schemas cost roughly 26,316 tokens of context every time the server is loaded.
Is the PlaceRoot MCP server still maintained?
PlaceRoot is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the PlaceRoot MCP server under?
PlaceRoot declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.