"where is", "coordinates", "geocode", "address to"?
geocode
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Maps & Geolocation
Location intelligence for AI agents — geocoding, routing with turn-by-turn directions, POI discovery, elevation, distance matrices, and timezone lookup. Zero config, free, global coverage via OpenStreetMap.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate geolocation operations — geocode addresses, calculate routes with turn-by-turn directions, find points of interest, get elevation data, compute distance matrices, and determine timezones. Use when converting addresses to coordinates, getting driving directions, finding nearby places, calculating distances…
Architecture
How Maps & Geolocation guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Maps & Geolocation skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-maps
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"what's at", "address of", "reverse"?
reverse_geocode
"route", "directions", "how to get to", "drive"?
get_route
"nearby", "find", "restaurants", "hospitals", "ATM"?
search_poi
"distance", "how far", "between"?
distance_matrix
"elevation", "altitude", "height"?
get_elevation
"timezone", "what time", "UTC offset"?
get_timezone
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011-2 calls
Get Directions
Turn-by-turn with distance + duration
021-2 calls
Find Nearby
POI search by category + radius
031 calls
Distance Matrix
All-pairs distances for multiple points
041 calls
Timezone
Country + UTC offset for any location
051 calls
Elevation
Altitude at any coordinate
Tool boundary
The skill may use 7 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-maps retains responsibility for authentication, validation, and the connected system.
geocode
reverse_geocode
get_route
get_elevation
search_poi
distance_matrix
get_timezone
Working rules
What the agent should do.
- Always include both distance AND duration in route results
- Specify transport mode (driving/walking/cycling) — don't assume
- Include units (km/miles, minutes/hours)
- For POI search, specify radius (don't return results 50km away)
Operating boundaries
What the agent should avoid.
- Don't assume transport mode — ask if unclear
- Don't return coordinates without context (always include place name)
- Don't ignore rate limits (1 req/sec for geocoding)
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-maps, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-maps-geolocation.git \
~/.skills/skills/maps-geolocationADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("maps-geolocation").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-maps server connected (OpenStreetMap, OSRM, OpenTopoData — free, no API keys, zero config).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 7
- References
- 3
- Revision
- e709ece01593
- Updated
- May 31, 2026