Location and Timezone MCP Server by RoxyAPI

Search cities worldwide - Geocoding autocomplete with coordinates and timezone

get_location_search

Read-only

Turn a place name into coordinates, an IANA timezone and a DST-aware UTC offset, across 235,000+ cities and towns in 240+ countries. Coverage reaches rural towns of a few hundred people and every administrative seat, so a birthplace outside a major metro resolves as reliably as a capital. Matching is case-insensitive, accent-insensitive and partial, so ber matches Berlin, Bern and Bergen, native scripts are transliterated, and historic names resolve to the current place, so bombay returns Mumbai and peking returns Beijing. Results are ordered by match quality first and population second, so an exactly named small town is never buried under a larger city that merely shares its opening letters. Built for birth chart location pickers, horoscope apps, event scheduling, and any feature that needs place-to-coordinates resolution.

Input Schema

TableJSON Schema

Name	Required	Description
`q`	Yes	Place to search for, written the way a person would. Accepts a bare city (berlin), a city plus country (berlin germany), a comma-qualified place (richfield, utah), a fully qualified place (richfield, utah, united states), or a historic name (bombay, peking, constantinople). Commas are optional, and a qualifier the dataset spells differently, such as USA for United States, still resolves. Matched against city name, alternate names, state or province, and country. Add the state or country whenever the name is common, since that is what separates the six Springfields, and Richfield, Utah from Richfield, Minnesota.
`limit`	No	Maximum items to return per page. Range: 1-50, default 10.
`offset`	No	Number of items to skip for pagination. Default 0.
`compact`	No	Set true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {"__cols":[names],"__rows":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	Yes
`total`	Yes
`cities`	Yes
`offset`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedSep 23, 2026
- addedInput schema / properties / offset / default
```
Added value: +0
```
- addedInput schema / properties / offset / minimum
```
Added value: +0
```
Changed3 schema fields changedSep 20, 2026
- removedInput schema / properties / offset / default
```
Removed value: -0
```
- removedInput schema / properties / offset / minimum
```
Removed value: -0
```
- changedInput schema / properties / offset / type
```
Previous value: -[
-  "integer",
-  "null"
-]New value: +"integer"
```

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "cities": {
+      "items": {
+        "properties": {
+          "city": {
+            "type": "string"
+          },
+          "country": {
+            "type": "string"
+          },
+          "iso2": {
+            "type": "string"
+          },
+          "latitude": {
+            "type": "number"
+          },
+          "longitude": {
+            "type": "number"
+          },
+          "population": {
+            "type": "number"
+          },
+          "province": {
+            "type": "string"
+          },
+          "timezone": {
+            "type": "string"
+          },
+          "utcOffset": {
+            "type": "number"
+          }
+        },
+        "required": [
+          "city",
+          "province",
+          "country",
+          "iso2",
+          "latitude",
+          "longitude",
+          "timezone",
+          "utcOffset",
+          "population"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "limit": {
+      "type": "number"
+    },
+    "offset": {
+      "type": "number"
+    },
+    "total": {
+      "type": "number"
+    }
+  },
+  "required": [
+    "total",
+    "limit",
+    "offset",
+    "cities"
+  ],
+  "type": "object"
+}

Changed2 schema fields changedAug 17, 2026

addedInput schema / examples

Added value: +[
+  {
+    "q": "berlin"
+  }
+]

changedInput schema / properties / compact / description

Previous value: -"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."New value: +"Set true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {\"__cols\":[names],\"__rows\":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens."

Changed1 schema field changedAug 10, 2026

changedInput schema / properties / q / description

Previous value: -"City name to search for. Accepts bare city (\"berlin\"), city plus country (\"berlin germany\"), or comma-qualified (\"berlin, germany\", \"springfield, illinois\") for disambiguation. Matches against city name, province/state, or combined \"city country\" queries. Case-insensitive with partial matching (e.g. \"ber\" matches Berlin, Bern, Bergen)."New value: +"Place to search for, written the way a person would. Accepts a bare city (berlin), a city plus country (berlin germany), a comma-qualified place (richfield, utah), a fully qualified place (richfield, utah, united states), or a historic name (bombay, peking, constantinople). Commas are optional, and a qualifier the dataset spells differently, such as USA for United States, still resolves. Matched against city name, alternate names, state or province, and country. Add the state or country whenever the name is common, since that is what separates the six Springfields, and Richfield, Utah from Richfield, Minnesota."

Changed1 schema field changedAug 2, 2026
- changedInput schema / properties / offset / type
```
Previous value: -"integer"New value: +[
+  "integer",
+  "null"
+]
```

Changed1 schema field changedJul 22, 2026

changedInput schema / properties / compact / description

Previous value: -"Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false."New value: +"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."

Changed1 schema field changedJul 22, 2026

addedInput schema / properties / compact

Added value: +{
+  "default": false,
+  "description": "Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false.",
+  "type": "boolean"
+}

First observedJul 8, 2026

TDQS

A4.4/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate a safe read-only operation, and the description adds substantial behavioral detail: case-insensitive and accent-insensitive matching, partial matching, transliteration, historic name resolution, and ordering by match quality then population. These details meaningfully go beyond the structured annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and each sentence earns its place: coverage, matching behavior, result ordering, and use cases. Despite being detailed, it remains focused and avoids unnecessary repetition of schema content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description does not need to explain return shapes. The annotations cover safety, the schema covers all parameters, and the description adds matching rules, coverage scope, and typical use cases, making the tool adequately specified for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all four parameters. The description adds value for the q parameter by explaining matching semantics, partial matches, historic names, and ordering behavior, which enriches an agent's understanding beyond the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: turning a place name into coordinates, timezone, and UTC offset across cities worldwide. It clearly conveys a geocoding search tool, but it does not explicitly name or contrast the sibling country-list tools, so differentiation is implicit rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to use the tool: birth chart location pickers, horoscope apps, event scheduling, and any place-to-coordinates resolution feature. It does not mention when not to use it or name alternative tools, but the use cases are specific enough to guide an agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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