Compatible with every major AI agent and IDE
What is the USGS Water Services MCP Server?
Connect to the USGS Water Services to retrieve comprehensive hydrological data directly from the United States Geological Survey. Monitor environmental conditions, analyze historical trends, and discover monitoring stations through natural language.
What you can do
- Real-time Monitoring — Use
get_instantaneous_valuesto fetch near real-time data (15-minute intervals) for streamflow, water levels, and quality. - Historical Analysis — Retrieve daily summaries (mean, median, max, min) using
get_daily_valuesfor long-term trend analysis. - Site Discovery — Search for monitoring stations using
get_sitesfiltered by state, county, hydrologic unit (HUC), or geographic bounding box. - Statistical Reports — Generate daily, monthly, or annual statistics with
get_statisticsto understand hydrological patterns. - Groundwater Tracking — Access specialized groundwater level data using
get_groundwater_levelsfor aquifer monitoring.
How it works
- Subscribe to this server
- This service accesses public USGS data; simply enter 'PUBLIC' as your access key to initialize
- Start querying water data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Environmental Scientists — quickly gather field data and historical records for research and reporting
- Engineers & Hydrologists — monitor streamflow and groundwater levels for infrastructure and flood planning
- Outdoor Enthusiasts — check real-time river conditions for fishing, boating, or safety before heading out
Built-in capabilities (5)
You MUST provide at least one major filter. Retrieve historical summarized daily data (mean, median, max, min)
You MUST provide at least one major filter. Retrieve historical manually-recorded groundwater levels
You MUST provide at least one major filter: sites, stateCd, huc, bBox, or countyCd. Retrieve near real-time water data (usually 15-minute intervals)
Multiple major filters can be combined (AND logic). Search for USGS sites and metadata
Retrieve daily, monthly, or annual statistics based on approved data
Why Google ADK?
Google ADK natively supports USGS Water Services as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with USGS Water Services
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine USGS Water Services tools with BigQuery, Vertex AI, and Cloud Functions
USGS Water Services in Google ADK
USGS Water Services and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect USGS Water Services to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for USGS Water Services in Google ADK
The USGS Water Services MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
USGS Water Services for Google ADK
Every tool call from Google ADK to the USGS Water Services MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find all water monitoring sites in a specific state?
Use the get_sites tool and provide the 2-digit USPS state code (e.g., 'CA' for California) in the stateCd parameter. This will return a list of sites and their metadata for that state.
Can I get real-time streamflow data for a specific river station?
Yes! Use get_instantaneous_values with the specific USGS site number in the sites parameter. You can also specify parameterCd as '00060' for discharge (streamflow).
Is it possible to retrieve long-term monthly averages for a site?
Absolutely. Use the get_statistics tool with the statReportType set to 'monthly'. This will provide approved statistical summaries based on the historical record of the site.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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