How to Use the USGS Water Services MCP in OpenAI Agents SDK

Q: How does USGS Water Services integrate with OpenAI Agents SDK?

The MCP Server exposes all the necessary water tools—like getinstantaneousvalues and getdailyvalues—as callable functions. Your agent automatically discovers these endpoints, letting it use real data without needing manual code connection.

Q: Can I get yearly statistics for USGS Water Services using OpenAI Agents SDK?

Yeah, you can use getstatistics. You just pass the desired timeframe (annual, monthly, or daily) and let the tool pull approved aggregate data. It keeps your analysis focused on long-term trends.

Q: Does USGS Water Services support groundwater level retrieval with OpenAI Agents SDK?

It does. Use getgroundwaterlevels to retrieve historical, manually recorded water levels. This is separate from streamflow and lets you track subsurface changes.

Get real-time water data with your AI agents using OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect USGS Water Services MCP to OpenAI Agents SDK

Create your Vinkius account to connect USGS Water Services to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup USGS Water Services with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fetch site metadata and lists using `get_sites` on the MCP Server.

Need to find a specific USGS measurement point? Use `get_sites` to search across all available sites. You can combine filters like state codes, counties, or bounding boxes for precise results. This tool provides essential metadata needed before fetching any actual readings. It's the starting point when your agent needs context on where to look.

Handle immediate water measurements with `get_instantaneous_values`.

The system runs near real-time data, usually in 15-minute intervals. Call `get_instantaneous_values`, making sure to supply a filter like site code or state code. This gives your agent the current operational status of water levels and streamflow. It's perfect for immediate alerts or dashboard updates.

Retrieve historical daily summaries with `get_daily_values`.

Use `get_daily_values` when you need summarized data (min, max, mean) over a period of time. Always filter by at least one major parameter to keep the request tight. This tool is ideal for building historical trend reports that aren't concerned with minute-by-minute fluctuations.

Setup guide

Set up USGS Water Services MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all USGS Water Services tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives USGS Water Services tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate USGS Water Services tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="USGS Water Services Agent",
            instructions="You have access to USGS Water Services tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USGS Water Services. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect USGS Water Services now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about USGS Water Services MCP in OpenAI Agents SDK

The MCP Server exposes all the necessary water tools—like `get_instantaneous_values` and `get_daily_values`—as callable functions. Your agent automatically discovers these endpoints, letting it use real data without needing manual code connection.

This server handles streamflow metrics, historical groundwater levels, and site metadata. All the water readings—the raw numbers—are passed through this system's guardrails before your agent acts on them.

Yeah, you can use `get_statistics`. You just pass the desired timeframe (annual, monthly, or daily) and let the tool pull approved aggregate data. It keeps your analysis focused on long-term trends.

It does. Use `get_groundwater_levels` to retrieve historical, manually recorded water levels. This is separate from streamflow and lets you track subsurface changes.

The server touches publicly available hydrological data, specifically site metadata, instantaneous values, and historical records. All actions are logged and traced in your OpenAI dashboard, giving you full visibility.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript