mcp-server-usace-iwr
Related Servers
Alternatives to mcp-server-usace-iwr
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceAn MCP server that lets LLMs query USGS NHDPlus HR hydrography data—streams, rivers, lakes, stream gages, and watershed boundaries—via point or GeoJSON geometry intersection queries.7-
- AlicenseNot gradedqualityFmaintenanceAn experimental MCP server providing spatial context for LLMs by interfacing with French Geoplateforme services. It enables tasks such as geocoding, altitude lookups, and querying administrative, cadastral, or urban planning data.7 npm4MIT
- FlicenseAqualityBmaintenanceAn MCP server that exposes Charlotte, NC and Mecklenburg County open data as tools for an LLM agent, enabling queries about trash pickup, parcels, zoning, crime, and more by geocoding addresses and querying live ArcGIS layers.21-
- AlicenseAqualityBmaintenanceMCP server that exposes any Pumperly instance to LLMs, enabling real-time fuel price queries, station search, route planning, and geocoding.542 npm3GPL 3.0
- AlicenseAqualityCmaintenanceMCP server that enables natural-language-driven, headless HEC-RAS modeling, letting agents inspect, edit, run, compare, and plot 1D/2D hydraulic models without the GUI.102MIT
- AlicenseAqualityDmaintenanceAn MCP server that gives AI assistants direct access to the FEMA National Flood Hazard Layer (NFHL) for flood zone lookups, FIRM panel information, and flood map data in the United States.69 npmMIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: find_markers returns all markers near a point or within a geometry, nearest returns the single closest marker to a coordinate, and query filters by river name and mile range. Their descriptions are thorough and include usage guidance that eliminates ambiguity.
All tool names follow a `usace_rivermile_verb` pattern, using clear and descriptive verbs (find_markers, nearest, query). The naming is consistent and predictable, though slightly long. A minor deviation is that 'nearest' is an adjective rather than a verb, but the intent is still clear.
Three tools is an ideal count for this specialized domain. Each tool addresses a distinct and common query pattern for river mile markers: spatial search, nearest point, and attribute-based filtering. There are no redundant or missing core operations.
The tool set covers the primary use cases for querying river mile markers: proximity search, nearest-marker lookup, and attribute filtering/pagination. A minor gap is the lack of a tool to retrieve a single marker by ID or name, but the existing tools cover the most common workflows without dead ends.