How to Use the USGS Water Services MCP in Mastra AI

Q: Can Mastra AI run complex checks on USGS Water Services data?

Yes. You can build conditional workflows that check getdailyvalues. For instance, if today's average is too low, the workflow triggers a secondary manual groundwater level report using getgroundwaterlevels.

Q: What data types are available from USGS Water Services with Mastra AI?

The server offers real-time readings (getinstantaneousvalues), summarized daily stats, and manual groundwater level records. Your workflow can combine any of these.

Q: Does Mastra AI support running reports from USGS Water Services in different timeframes?

The getstatistics tool lets you select the interval: you can ask for daily, monthly, or annual statistics based on approved data sets.

Q: If I need to check site metadata, what does USGS Water Services expose for Mastra AI?

The getsites tool allows you to search and retrieve detailed metadata about specific USGS locations using combined filters like state or county IDs.

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Connect USGS Water Services MCP to Mastra AI

Create your Vinkius account to connect USGS Water Services to Mastra AI 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 Mastra AI

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Perplexity

Execute complex USGS water data workflows

The `get_instantaneous_values` tool retrieves near real-time 15-minute interval readings. You can build a workflow that attempts to check this value, and if it fails or times out, the agent automatically retries with backoff. This capability lets you handle external API failures gracefully. Your complex process doesn't just stop; it keeps trying until it gets valid water data.

Manage historical water data checks

The `get_daily_values` tool pulls summarized daily stats (mean, max, min). You can build a conditional branch: IF the mean reading is below X, THEN alert an admin and execute a secondary check using `get_groundwater_levels`. This multi-step logic means your workflow acts like a human analyst, checking related data sources based on initial results.

Automate site metadata verification

Use the `get_sites` tool to verify USGS site existence and gather metadata. You can structure a workflow that first checks for the site ID, and only if it's found does it proceed to call the `get_statistics` tool. This sequential process ensures you never attempt an action with bad or missing input data.

Setup guide

Set up USGS Water Services MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All USGS Water Services tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "usgs-water-services-mcp-client",
  servers: {
    "usgs-water-services-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "USGS Water Services Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to USGS Water Services tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent USGS Water Services transactions"
);
console.log(result.text);

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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 Mastra AI

Mastra AI handles this natively. You define a workflow, and if the call to, say, `get_instantaneous_values` fails due to rate limiting or API error, the agent automatically retries until success.

Yes. You can build conditional workflows that check `get_daily_values`. For instance, if today's average is too low, the workflow triggers a secondary manual groundwater level report using `get_groundwater_levels`.

The server offers real-time readings (`get_instantaneous_values`), summarized daily stats, and manual groundwater level records. Your workflow can combine any of these.

The `get_statistics` tool lets you select the interval: you can ask for daily, monthly, or annual statistics based on approved data sets.

The `get_sites` tool allows you to search and retrieve detailed metadata about specific USGS locations using combined filters like state or county IDs.

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