Arcgis Charlotte vs MCP Weather
A side-by-side look at the Arcgis Charlotte 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 Arcgis Charlotte 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 Arcgis Charlotte when
- You need dedicated capabilities in the Location Services domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
search_datasets, query_layer, layer_info.
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 | 56/100 · Good | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | API key required |
| Pricing | Free | Freemium |
| Required env vars | None listed | ACCUWEATHER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 34 |
| Directory activity | 3 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 3 | 2 |
| Full listing | View Arcgis Charlotte | View MCP Weather |
Tools & capabilities
Arcgis Charlotte tools 3
search_datasetsSearch City of Charlotte GIS open geospatial datasets (parcels, zoning, public works & city services) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.query_layerQuery an ArcGIS Feature Service / Map Service layer by its url (from search_datasets). SQL-like `where`, comma-separated `out_fields`, `order_by`, `limit`, `offset`. Returns attribute rows (and geometry). Use where="1=1" + out_fields="*" to sample.layer_infoGet an ArcGIS Feature/Map Service layer's schema by url: fields (name + type), geometry type, total record count, and capabilities.
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.
Arcgis Charlotte
{
"mcpServers": {
"arcgis-charlotte": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-arcgis-charlotte"
]
}
}
}
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
Arcgis Charlotte is categorized under Location Services and uses a local stdio subprocess. MCP Weather belongs to Location Services and uses a local stdio subprocess. Pick Arcgis Charlotte 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.
Arcgis Charlotte is listed as free. Auth: no auth required. 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 arcgis-charlotte and timlukahorstmann-mcp-weather as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Arcgis Charlotte has a quality signal of 56/100 (Good) with 3 views, 0 installs and 1 GitHub stars. MCP Weather has 61/100 (Good) with 4 views, 0 installs and 34 GitHub stars.