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 CrewAI?
When paired with CrewAI, USGS Water Services becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call USGS Water Services tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
USGS Water Services in CrewAI
USGS Water Services and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect USGS Water Services to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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