mapbox-location-grounding
This skill teaches agents to ground location-aware responses in live Mapbox data instead of relying on stale training data.
Identity proven by GitHub's verified organisation badge (mapbox)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- MIT (permissive)
- Pin
- f71cd72pinned Oct 9, 2026
- Context cost
- about 2,400 tokenswhen the skill loads
- GitHub stars
- 80on mapbox/mapbox-agent-skills
- Scripts
- None found
What it does
“Compose Mapbox MCP tools to produce grounded, cited location-aware responses from live data instead of training data”
Generated summary from the skill's own text
This skill teaches agents to ground location-aware responses in live Mapbox data instead of relying on stale training data. It composes Mapbox MCP tools to retrieve nearby POIs, ratings, travel times, and reachability polygons, then synthesizes the results into cited answers. Use it for place discovery, travel time queries, neighborhood descriptions, and real estate use cases where accuracy and currency matter.
When to use it
- User asks what's nearby, reachable, or around a location coordinate
- Questions about travel time, distance, or routing between places
- Real estate, travel, mobility, or local discovery tasks
- Answering POI queries where ratings, prices, or hours must be current
When not to
- User asks for attribute filtering like family-friendly or outdoor seating
- POI coverage is sparse in the region queried
- Training data answers are sufficient for the use case
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add mapbox/mapbox-agent-skills --skill mapbox-location-groundingInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install mapbox/mapbox-agent-skills mapbox-location-grounding@f71cd72b8d8937b06db440538bd65559eb792c49Installs the commit we checked (f71cd72).
Copy by hand
Download the folder at f71cd72 and put it in .claude/skills/mapbox-location-grounding for Claude Code and in .agents/skills/mapbox-location-grounding for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install mapbox@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "mapbox-location-grounding" by Mapbox. Source, pinned to commit f71cd72b8d8937b06db440538bd65559eb792c49: https://github.com/mapbox/mapbox-agent-skills/tree/f71cd72b8d8937b06db440538bd65559eb792c49/skills/mapbox-location-grounding 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/mapbox-location-grounding/ for Claude Code and .agents/skills/mapbox-location-grounding/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/mapbox/mapbox-location-grounding
SKILL.md at the pin
---
name: mapbox-location-grounding
description: Compose Mapbox MCP tools to produce grounded, cited location-aware responses from live data instead of training data
---
# Mapbox Location Grounding Skill
Teaches AI assistants how to ground location-aware responses in live Mapbox data by composing MCP tools into a structured, cited answer. Use this instead of relying on training data for place names, POIs, ratings, or travel times — which are stale and prone to hallucination.
## When to Use Grounding
Ground responses when the user asks about:
- "What's near [location]?" or "What's around [coordinate]?"
- "Describe this neighborhood / area"
- "Find [category] within walking/driving distance"
- "What can I do near [address]?"
- "How long does it take to get from A to B?"
- "What's within a 10-minute walk of here?"
- "How far is it between these locations?"
- Real estate, travel, mobility, or local discovery use cases
- Any question where place accuracy, recency, or travel time matters
**Never answer location questions from training data alone.** Always retrieve live data.
## Grounding Tool Composition
### Preferred: single tool call
If `ground_location_tool` is available, use it — it handles reverse geocoding, POI search, place details enrichment, isochrone, and a static map image in one call:
```
ground_location_tool(
longitude, latitude,
query: "restaurant", // optional — category or subcategory of nearby places to find
profile: "mapbox/walking", // optional — travel profile for isochrone
contours_minutes: [5, 10, 15]
)
```
Returns:
- Neighborhood/place name from reverse geocoding
- Nearby POIs with distances, ratings, price levels, and popularity (when available)
- Travel-time reachability from isochrone
- A static map image for visual context
- Citations for all data sources
Do not call `reverse_geocode_tool`, `category_search_tool`, `place_details_tool`, or `isochrone_tool` separately — they are already composed inside this tool.
### Query parameter
The `query` parameter accepts **category or subcategory terms** — not attribute preferences:
- Supported: `"restaurant"`, `"coffee"`, `"park"`, `"Italian restaurant"`, `"EV charging station"`
- Not supported: `"family-friendly"`, `"fast charging"`, `"outdoor seating"` — these are not filterable attributes in Mapbox data
To help users find places matching a preference (e.g. "family-friendly"), search by category (`"restaurant"`) and use the returned rating and price data to inform the recommendation.
### Fallback: manual composition
If `ground_location_tool` is not available, build the grounded response by composing these tools in order:
#### Step 1 — Establish place context
```
reverse_geocode_tool(longitude, latitude, types: "neighborhood,locality,place")
```
Returns: neighborhood, city, region, country. This is the anchor for the response.
#### Step 2 — Retrieve nearby POIs
For specific names or brands:
```
search_and_geocode_tool(query, proximity: {longitude, latitude}, limit: 10)
```
For generic categories:
```
category_search_tool(category, proximity: {longitude, latitude}, limit: 10)
```
#### Step 3 — Enrich POIs with ratings and price (optional but high-value)
For each POI with a `mapbox_id`, call in parallel:
```
place_details_tool(mapbox_id, attribute_sets: ["visit"])
```
Returns: rating, price level, popularity, and opening hours per place.
#### Step 4 — Add travel-time context (optional but high-value)
```
isochrone_tool(
coordinates: {longitude, latitude},
profile: "mapbox/walking", // or "mapbox/driving", "mapbox/cycling", "mapbox/driving-traffic"
contours_minutes: [5, 10, 15]
)
```
Returns a polygon showing what's reachable within each time threshold.
#### Step 5 — Visual grounding (optional)
```
static_map_image_tool(longitude, latitude, zoom: 14)
```
Returns a map image that can be included in the response for visual context.
## Grounded Response Structure
Always structure grounded responses with explicit citations:
```
Place: [neighborhood, city from reverse_geocode]
Nearby [category]: [list from search/category tool, with names, ratings, prices, and distances]
Travel context: [X min walk / Y min drive from isochrone]
Sources: Mapbox Search, Mapbox Directions (live data)
```
Example grounded response:
> **SoMa, San Francisco, CA** (live Mapbox data)
>
> Restaurants within walking distance:
>
> - Bix Restaurant $$ ★8.4 — 56 Gold St (180m)
> - The Bird $ ★7.9 — 115 New Montgomery St (320m)
> - Oren's Hummus $$ ★8.1 — 131 Townsend St (510m)
>
> Reachable by walking: 5 min, 10 min, 15 min
>
> _Sources: Mapbox Geocoding API, Mapbox Search API, Mapbox Place Details API, Mapbox Isochrone API, Mapbox Static Images API_
## Routing Grounding
For questions about travel between two locations, use `directions_tool`. For questions about reachable area, use `isochrone_tool`. For comparing travel times across multiple locations, use `matrix_tool`.
### Point-to-point travel time and distance
> "How long does it take to drive from Pike Place Market to Capitol Hill?"
> "What's the fastest route from the hotel to the airport?"
```
directions_tool(
waypoints: [{longitude, latitude}, {longitude, latitude}],
profile: "mapbox/driving-traffic" // live traffic; or "mapbox/walking", "mapbox/cycling", "mapbox/driving"
)
```
Returns: duration (with live traffic), distance, turn-by-turn steps, and an encoded polyline for map rendering. Supports up to 25 waypoints for multi-stop routes.
### Area reachability ("within X minutes")
> "What's reachable within a 10-minute walk?"
> "Show me what I can reach in 15 minutes by car from here"
```
isochrone_tool(
coordinates: {longitude, latitude},
profile: "mapbox/walking",
contours_minutes: [5, 10, 15]
)
```
Returns a polygon showing the area reachable within each time threshold. Combine with `category_search_tool` or `ground_location_tool` to answer "what restaurants are within a 10-minute walk?" — use the isochrone to define the boundary, then search within it.
### Multi-location travel time matrix
> "Which of these three offices is closest to my location?"
> "What are travel times from this warehouse to each of our delivery zones?"
> "Compare commute times to multiple locations"
Use `matrix_tool` — **do NOT call `directions_tool` separately for each pair**. Matrix batches all pairs in a single API call.
```
matrix_tool(
sources: [{longitude, latitude}, ...],
destinations: [{longitude, latitude}, ...],
profile: "mapbox/driving-traffic"
)
```
Returns a matrix of durations and distances between every source/destination pair. Rank results by duration to find the nearest location. One `matrix_tool` call replaces N separate `directions_tool` calls.
### Proximity search with routing context
For "find [category] within X minutes of [location]":
1. Geocode the origin if needed: `search_and_geocode_tool(address)`
2. Get the reachable area: `isochrone_tool(coordinates, profile, contours_minutes)`
3. Search for POIs: `ground_location_tool(longitude, latitude, query: "category")` — the isochrone
contours tell the user what's within each time band
Or more directly: `ground_location_tool` returns both nearby POIs and isochrone reachability in one
call, which covers most proximity + routing use cases without additional composition.
### Example routing response
> **Pike Place Market → Capitol Hill, Seattle**
>
> By car (with traffic): 12 min, 3.2 km via Pine St
> By walking: 28 min, 2.1 km
> By cycling: 14 min, 2.3 km
>
> _Source: Mapbox Directions API (live traffic)_
## What Mapbox Grounding Offers vs. Training Data
| | Training Data | Mapbox Grounding |
| ------------------ | ------------------- | --------------------------- |
| POI accuracy | Stale, hallucinated | Live, verified |
| Ratings/price | Often wrong | Live via Place Details |
| Business hours | Often wrong | Live via Place Details |
| Travel times | Estimated | Live traffic via Directions |
| Reachable area | Not available | Isochrone polygons |
| Multi-stop routing | Not available | Up to 25 waypoints |
| New places | Missing | Indexed |
| Map image | None | Inline static map |
| Citations | None | Tool + API source |
## Important Limitations
- **Attribute filtering** (family-friendly, outdoor seating, fast charging) is not supported by the category search API. Use category terms and let rating/price data inform preference-based recommendations.
- **POI coverage** varies by region. If search returns few results, say so rather than padding with guesses.
- **Coordinates required** for proximity search — if the user provides an address, geocode it first with `search_and_geocode_tool` before running category search.
## Anti-Patterns to Avoid
- Answering "what's near X?" from training data without calling search tools
- Estimating travel times without calling `directions_tool` or `isochrone_tool`
- Hallucinating business names, hours, or ratings
- Calling `reverse_geocode_tool` + `category_search_tool` + `place_details_tool` separately when `ground_location_tool` is available
- Using attribute terms like "family-friendly" as the query parameter — use the category instead
- Returning raw tool output without synthesizing into a readable response
- Omitting citations — always indicate the response is grounded in live Mapbox data
From mapbox/mapbox-agent-skills at f71cd72, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.md.
View SKILL.md on GitHub at f71cd72Files
- SKILL.md9.6 KB · d9d1428d182b
- evals/
- evals.json7.2 KB · 3e431413aaf0
2 files, 17 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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