Integrate USGS Water Services with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet daily values on USGS Water Services
You MUST provide at least one major filter. Retrieve historical summarized daily data (mean, median, max, min)
Get groundwater levels on USGS Water Services
You MUST provide at least one major filter. Retrieve historical manually-recorded groundwater levels
Get instantaneous values on USGS Water Services
You MUST provide at least one major filter: sites, stateCd, huc, bBox, or countyCd. Retrieve near real-time water data (usually 15-minute intervals)
Get sites on USGS Water Services
Multiple major filters can be combined (AND logic). Search for USGS sites and metadata
Get statistics on USGS Water Services
Retrieve daily, monthly, or annual statistics based on approved data
Security & Code Integrity Audit
Every tool in the USGS Water Services MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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 the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using USGS Water Services
The USGS Water Services MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Automating hydrology with AI
The USGS Water Services toolkit provides structured tools for hydrology. It enables conversational interfaces like Claude Code to query and modify data within your industry titans infrastructure.
Claude Code Integration for environmental data
The USGS Water Services toolkit provides AI native integration for environmental data. It structures data so Claude Code can accurately process industry titans requirements.
USGS Water Services. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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