Boundr
UK administrative boundary data from OS Boundary Line: name search, point lookup, GeoJSON geometries
사용해야 할까요
품질 및 안전성
발견 사항 (3)
- HIGH
- LOWget_boundary_geojson_simplified에서
- INFOget_boundary_by_code에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"boundr": {
"url": "https://mcp.boundr.dev/sse"
}
}
}원격 엔드포인트
https://mcp.boundr.dev/ssessehttps://mcp.boundr.dev/mcpstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢list_boundary_type_codes
Returns every valid UK boundary type code mapped to its human-readable label. Call this before using any tool that accepts a `boundary_type` or `boundary_types` argument so you know which codes are legal. Passing an unlisted code to another tool raises a ValueError. Boundary type codes are stable Ordnance Survey identifiers. Common ones: - "CTY" → County - "LBO" → London Borough - "UTA" → Unitary Authority - "MTD" → Metropolitan District - "DIS" → District - "DIW" → District Ward - "CCTY" → Ceremonial County - "HCTY" → Historic County - "WMC" → Westminster Parliamentary Constituency - "GLC" → Greater London Constituency - "SWC" → Scotland/Wales Constituency - "PAR" → Parish - "CED" → County Electoral Division Returns: Dict mapping code → label for all supported boundary types, e.g. {"CTY": "County", "LBO": "London Borough", ...}
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": {
"type": "string"
}
}🟢search_boundaries_by_name(name, boundary_type)
Search for UK administrative boundaries by name (case-insensitive partial match). Use this to discover boundaries when you have a place name but not a code. Returns lightweight metadata only — no geometry. If you need to display or analyse the boundary shape, call get_boundary_geojson_by_code() with the returned `code`. Call list_boundary_type_codes() first if you need to filter by type and are unsure which code to use.
입력 스키마
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Full or partial boundary name. Case-insensitive. Examples:\n \"Hackney\", \"Greater Manchester\", \"York\", \"Kent\"."
},
"boundary_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional type code to narrow results, e.g. \"LBO\" for\n London Boroughs or \"CTY\" for Counties. Must be a code\n from list_boundary_type_codes(); raises ValueError otherwise."
}
},
"required": [
"name"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢find_boundaries_at_point(lat, lng, boundary_types)
Find all UK administrative boundaries that geographically contain a coordinate point. Use this to answer "what county/borough/ward is this location in?" for a latitude/longitude. Returns lightweight metadata only — no geometry. If you need to display a boundary shape, call get_boundary_geojson_by_code() with the returned `code`. Multiple boundaries at different administrative levels typically contain the same point (e.g. a ward, a borough, and a county). Filter by boundary_types to restrict which levels are returned. Call list_boundary_type_codes() first if you are unsure which type codes to use.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"type": "number",
"description": "Latitude in decimal degrees. Must be between -90 and 90.\n Example: 51.5074 (central London)."
},
"lng": {
"type": "number",
"description": "Longitude in decimal degrees. Must be between -180 and 180.\n Example: -0.1278 (central London)."
},
"boundary_types": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional list of type codes to restrict results,\n e.g. [\"CTY\", \"LBO\"]. All levels are returned if omitted."
}
},
"required": [
"lat",
"lng"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_boundary_by_code(code)
Look up metadata for a single UK boundary by its ONS census code. No geometry. Use this when you already have a census code (e.g. from search_boundaries_by_name() or find_boundaries_at_point()) and need structured metadata such as area size or type label. If you also need the boundary shape for display or analysis, call get_boundary_geojson_by_code() instead. ONS census codes (sometimes called GSS codes or LAU codes) are stable identifiers of the form "E09000012" (Hackney), "E10000016" (Kent), etc. The first letter indicates the country: E = England, W = Wales, S = Scotland, N = Northern Ireland.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "ONS census / GSS / LAU code, e.g. \"E09000012\".\n Case-insensitive — \"e09000012\" resolves to the same boundary."
}
},
"required": [
"code"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_boundary_geojson_by_code(code)
Fetch the full GeoJSON geometry for a UK boundary by its ONS census code. Returns a GeoJSON Feature object (WGS-84 / EPSG:4326) suitable for rendering on a map or performing geometric analysis. The geometry can be large — county and ceremonial county polygons are especially heavy. Only call this when you specifically need the shape; for metadata only use get_boundary_by_code() instead. IMPORTANT — Leaflet / web maps: use get_boundary_geojson_simplified() instead. The full geometry is large enough to exhaust your context window before you can finish writing the page. The simplified version is safe to embed directly in HTML and indistinguishable from the full shape at normal map zoom levels. Use this tool only when you need full-fidelity geometry for server-side analysis (e.g. precise point-in-polygon checks, area calculations, clipping). Obtain the census code from search_boundaries_by_name() or find_boundaries_at_point() before calling this.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "ONS census / GSS / LAU code, e.g. \"E09000012\" for Hackney.\n Case-insensitive."
}
},
"required": [
"code"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_boundary_geojson_simplified(code, tolerance)
Fetch simplified GeoJSON for a boundary by its ONS census code. Safe to embed directly in generated HTML map files. At the default tolerance (0.0001°) a constituency polygon shrinks from ~4,000 vertices to ~200–400 with no visible difference at normal map zoom levels. Prefer this over get_boundary_geojson_by_code() when writing Leaflet map pages — the full geometry is large enough to exhaust your context window before you can finish writing the HTML.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "ONS census / GSS / LAU code, e.g. \"E14001592\" for Woking.\n Case-insensitive."
},
"tolerance": {
"default": 0.0001,
"type": "number",
"description": "Simplification tolerance in degrees (WGS-84). Default 0.0001.\n Increase to 0.001 for county-scale boundaries."
}
},
"required": [
"code"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_boundary_bbox(code)
Get the bounding box and centroid for a boundary by its ONS census code. Returns min_lat, max_lat, min_lng, max_lng, centroid_lat, centroid_lng. Pass the bbox values directly to Knotsure's sightings_in_bbox() or geographic_summary(). Much cheaper than get_boundary_geojson_by_code() for spatial queries because no geometry is fetched or serialised.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "ONS census / GSS / LAU code, e.g. \"E14001592\" for Woking.\n Case-insensitive."
}
},
"required": [
"code"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}커뮤니티
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