4,000+ servers built on vurb.ts
Vinkius

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

MCP Inspector GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add USGS Water Services as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The USGS Water Services MCP Server for LlamaIndex 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to USGS Water Services. "
            "You have 5 tools available."
        ),
    )

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

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.

LlamaIndex agents combine USGS Water Services tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the USGS Water Services MCP Server

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

01

Data-first architecture: LlamaIndex agents combine USGS Water Services tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain USGS Water Services tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query USGS Water Services, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what USGS Water Services tools were called, what data was returned, and how it influenced the final answer

USGS Water Services + LlamaIndex Use Cases

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

01

Hybrid search: combine USGS Water Services real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query USGS Water Services to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USGS Water Services for fresh data

04

Analytical workflows: chain USGS Water Services queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for USGS Water Services in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

USGS Water Services + LlamaIndex FAQ

Common questions about integrating USGS Water Services MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query USGS Water Services tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →