USGS Water Data
MCP server implementation by pgiffy that provides AI assistants with access to USGS (United States Geological Survey) water data through three complementary APIs: the Water Services API for real-time and historical water measurements like stream flow and gauge height, the Real-Time Flood Impacts API for current flooding conditions and reference points, and the OGC API for monitoring location metadata and geospatial queries. Built using Python with FastMCP and httpx, the implementation offers both a modular architecture with separate API modules and a consolidated single-file version, supporting comprehensive water data operations including site-specific queries, geographic filtering, flood monitoring, and agency/aquifer code lookups. Designed for applications requiring hydrological data analysis, flood monitoring systems, environmental research workflows, and emergency management scenarios where real-time water level and flooding information is critical for decision-making.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/pgiffy/usgs-water-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve USGS Water Data from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.