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USGS Water Services MCP Server for Pydantic AIGive Pydantic AI instant access to 5 tools to Get Daily Values, Get Groundwater Levels, Get Instantaneous Values, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect USGS Water Services through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The USGS Water Services MCP Server for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to USGS Water Services "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in USGS Water Services?"
    )
    print(result.data)

asyncio.run(main())
USGS Water Services
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

Pydantic AI validates every USGS Water Services tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Real-time Monitoring — Use get_instantaneous_values to 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_values for long-term trend analysis.
  • Site Discovery — Search for monitoring stations using get_sites filtered by state, county, hydrologic unit (HUC), or geographic bounding box.
  • Statistical Reports — Generate daily, monthly, or annual statistics with get_statistics to understand hydrological patterns.
  • Groundwater Tracking — Access specialized groundwater level data using get_groundwater_levels for aquifer monitoring.

The USGS Water Services MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 USGS Water Services tools available for Pydantic AI

When Pydantic AI connects to USGS Water Services through Vinkius, your AI agent gets direct access to every tool listed below — spanning hydrology, environmental-data, water-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get daily values on USGS Water Services

You MUST provide at least one major filter. Retrieve historical summarized daily data (mean, median, max, min)

get

Get groundwater levels on USGS Water Services

You MUST provide at least one major filter. Retrieve historical manually-recorded groundwater levels

get

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

Get sites on USGS Water Services

Multiple major filters can be combined (AND logic). Search for USGS sites and metadata

get

Get statistics on USGS Water Services

Retrieve daily, monthly, or annual statistics based on approved data

Connect USGS Water Services to Pydantic AI via MCP

Follow these steps to wire USGS Water Services into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 5 tools from USGS Water Services with type-safe schemas

Why Use Pydantic AI with the USGS Water Services MCP Server

Pydantic AI provides unique advantages when paired with USGS Water Services through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your USGS Water Services integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your USGS Water Services connection logic from agent behavior for testable, maintainable code

USGS Water Services + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the USGS Water Services MCP Server delivers measurable value.

01

Type-safe data pipelines: query USGS Water Services with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple USGS Water Services tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query USGS Water Services and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock USGS Water Services responses and write comprehensive agent tests

Example Prompts for USGS Water Services in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with USGS Water Services immediately.

01

"Search for all active USGS water monitoring sites in Florida."

02

"Get the last 7 days of water level data for site 08313000."

03

"What are the daily mean statistics for discharge at site 01646500?"

Troubleshooting USGS Water Services MCP Server with Pydantic AI

Common issues when connecting USGS Water Services to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

USGS Water Services + Pydantic AI FAQ

Common questions about integrating USGS Water Services MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your USGS Water Services MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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