Documentation Index
Fetch the complete documentation index at: https://docs.footstep.ai/llms.txt
Use this file to discover all available pages before exploring further.
The MCP server exposes 15 tools. Click any tool for details.
Routing
| Tool | What it does |
|---|
get_directions | Get driving, walking, or cycling directions between locations. Returns distance, duration, turn-by-turn steps, and terrain analytics. |
optimize_stops | Find the fastest order to visit multiple stops. Returns optimised route with distance/time savings. |
compare_routes | Compare walk vs bike vs drive between the same locations. Side-by-side distance, duration, and terrain difficulty. |
find_and_route | Find a place by name and get directions to it in one step. Combines geocoding and routing. |
get_isochrone | Find everywhere reachable within a time or distance limit from a starting point. Returns a polygon boundary. |
get_matrix | Calculate travel times and distances between every combination of origins and destinations. |
get_elevation | Get elevation data for a list of coordinates. Returns heights and summary statistics. |
snap_trace | Clean up a GPS trace and get road surface, class, speed, and terrain details. |
search_along_route | Find places along a route ranked by how little detour they add. |
Geocoding
| Tool | What it does |
|---|
geocode | Convert an address or place name to coordinates. Returns lat/lng with confidence score. |
reverse_geocode | Convert coordinates to an address. Find what’s at a given lat/lng. |
batch_geocode | Geocode up to 1,000 addresses in one call. |
search_places | Find places and points of interest near a location. |
Natural Language
| Tool | What it does |
|---|
parse_address | Clean up messy free-text addresses. Fixes typos, expands abbreviations, and infers missing fields. Useful as a pre-step before geocoding. |
Predict
| Tool | What it does |
|---|
get_prediction | Generate spatial probability predictions for missing person scenarios. Returns per-hex scores across an H3 grid. |
Example prompts
Once connected, you can ask your AI agent things like:
- “Get me walking directions from Kings Cross to Tower Bridge”
- “Should I walk or cycle? Compare both options”
- “Directions to the nearest train station from here”
- “Find coffee shops near my hotel”
- “Are there any petrol stations on my way to Cambridge?”
- “What’s the elevation profile between these two coordinates?”
- “How far can I cycle in 15 minutes from Liverpool Street station?”
- “Find the best order to visit these 8 delivery stops”
- “Clean up this GPS trace from my bike ride and show me the terrain”
- “Geocode these 5 addresses and tell me which ones are in London”
- “Clean up this messy CSV of customer addresses before geocoding them”
The agent will call the appropriate Footstep tool and interpret the results for you.
Rate limits
MCP tool calls use your API key and count against the same rate limits as direct API calls. See the authentication guide for rate limit details.
