Geocoding vs MCP Weather
A side-by-side look at the Geocoding and MCP Weather MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Geocoding for location services work as a local process; choose MCP Weather for location services as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Geocoding when
- You need dedicated capabilities in the Location Services domain.
- You prefer a local stdio subprocess transport.
- You want tools like
geocode, reverse_geocode, search_places.
Choose MCP Weather when
- You need dedicated capabilities in the Location Services domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
ACCUWEATHER_API_KEY. - You want tools like
weather-get_hourly, weather-get_daily.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Location Services | Location Services |
| Quality signal | 59/100 · Good | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Freemium |
| Required env vars | None listed | ACCUWEATHER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 34 |
| Directory activity | 4 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 4 | 2 |
| Full listing | View Geocoding | View MCP Weather |
Tools & capabilities
Geocoding tools 4
geocodeConvert an address, place name, or landmark into geographic coordinates. Use this tool when: - The user gives a place/address and you need its latitude/longitude - You need to disambiguate a place name (returns ranked matches) - You need a place's coordinates before another geo operation Args: query: Address, place name, or landmark. limit: Max results. country_codes: Optional ISO country filter. response_format: 'markdown' or 'json'. Returns: str: Ranked matches with coordinates, type, and full display name. Example: Input: {"query": "Eiffel Tower"} Output: 48.8584, 2.2945 — Tour Eiffel, Paris, Francereverse_geocodeConvert geographic coordinates into a human-readable address. Use this tool when: - The user gives latitude/longitude and wants to know what's there - You have coordinates (e.g. from geocode) and need the address Args: latitude: Latitude (-90 to 90). longitude: Longitude (-180 to 180). response_format: 'markdown' or 'json'. Returns: str: The address/place at those coordinates, with structured components. Example: Input: {"latitude": 48.8584, "longitude": 2.2945} Output: Avenue Anatole France, Paris, Francesearch_placesSearch for places or points of interest by description, with coordinates. Like geocode, but oriented toward finding multiple matching places/POIs (shops, landmarks, amenities) rather than resolving one address. Use this tool when: - The user wants places of a kind in an area ("parks in Austin") - The user wants options, not a single precise address Args: query: What to find, optionally including a location. limit: Max places. country_codes: Optional ISO country filter. response_format: 'markdown' or 'json'. Returns: str: Matching places with coordinates and type. Example: Input: {"query": "bookstores in Paris", "limit": 5} Output: Up to 5 bookstores with names and coordinatesdistance_betweenCompute the straight-line (great-circle) distance between two places. Geocodes both endpoints, then computes the as-the-crow-flies distance. (This is not driving/route distance.) Use this tool when: - The user asks how far apart two places are - You need a quick distance between two named locations Args: origin: Start place or address. destination: End place or address. unit: 'km' or 'miles'. response_format: 'markdown' or 'json'. Returns: str: The distance, plus the resolved coordinates of each endpoint. Example: Input: {"origin": "Paris", "destination": "Berlin"} Output: ~878 km between Paris and Berlin
MCP Weather tools 2
weather-get_hourlyGet hourly weather forecast for the next 12 hoursweather-get_dailyGet daily weather forecast for up to 15 days
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Geocoding
{
"mcpServers": {
"geocoding": {
"command": "npx",
"args": [
"-y",
"geocode-mcp"
]
}
}
}
MCP Weather
{
"mcpServers": {
"timlukahorstmann-mcp-weather": {
"command": "npx",
"args": [
"-y",
"@timlukahorstmann/mcp-weather"
],
"env": {
"ACCUWEATHER_API_KEY": "YOUR_ACCUWEATHER_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Geocoding is categorized under Location Services and uses a local stdio subprocess. MCP Weather belongs to Location Services and uses a local stdio subprocess. Pick Geocoding for location services work and MCP Weather for location services.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Geocoding has no declared pricing — check the project's own site. MCP Weather is listed as freemium — a free tier with paid plans. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add geocoding and timlukahorstmann-mcp-weather as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Geocoding has a quality signal of 59/100 (Good) with 4 views, 0 installs and 1 GitHub stars. MCP Weather has 61/100 (Good) with 4 views, 0 installs and 34 GitHub stars.