How to Use the USGS Water Services MCP in Cursor

Q: What filters are required when using USGS Water Services for groundwater levels?

The getgroundwaterlevels tool requires specific parameters to filter historical, manually-recorded data. Always check the documentation for available geographical or date constraints.

Q: Can Cursor access USGS Water Services in a project scope?

Yes. You define the server connection using .cursor/mcp.json in your project root, making these tools available to every developer working on that specific codebase.

Q: How do I pull historical daily values using USGS Water Services in Cursor?

You'll use the getdailyvalues tool. The AI can construct the necessary call, ensuring you provide a major filter like a county code to narrow down the records.

Inject live USGS water metrics directly into your code using Cursor's Agent mode.

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Connect USGS Water Services MCP to Cursor

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

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Setup USGS Water Services with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Write code pulling real-time streamflow

The `get_instantaneous_values` tool lets the AI agent inject actual 15-minute interval data right into your function. You just need to provide filters like a state or site ID. Your generated code won't use mock stubs; it’ll run against live USGS Water Services context.

Build scripts for historical analysis

Need yearly statistics? Use `get_statistics` to generate daily, monthly, or annual data reports. The AI can structure the call and inject the resulting metrics directly where you need it in your project file. This saves time compared to running multiple shell commands manually.

Discover USGS site metadata on the fly

Before writing a single line of data retrieval code, use `get_sites`. You can combine filters (e.g., county and bounding box) to find exactly which monitoring stations you're targeting. The agent uses this live context to ensure your final code is accurate.

Setup guide

Set up USGS Water Services MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the USGS Water Services MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent USGS Water Services transactions." If the MCP tools are loaded correctly, Cursor will call the USGS Water Services tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "usgs-water-services-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

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Common questions about USGS Water Services MCP in Cursor

When in Agent mode, the AI sees the tool definitions and calls them. It then takes the live data returned by the server and writes working code that incorporates those real API responses into your file.

The `get_groundwater_levels` tool requires specific parameters to filter historical, manually-recorded data. Always check the documentation for available geographical or date constraints.

Yes. You define the server connection using `.cursor/mcp.json` in your project root, making these tools available to every developer working on that specific codebase.

The server requires an endpoint token for all access. This ensures that when your agent calls `get_instantaneous_values`, the connection is authenticated and tracked.

You'll use the `get_daily_values` tool. The AI can construct the necessary call, ensuring you provide a major filter like a county code to narrow down the records.

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