How to Use the USGS Water Services MCP in CrewAI

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

The getsites tool is your starting point. It lets you search and pull detailed records about the location itself, which then gives your other agents context for their work.

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Connect USGS Water Services MCP to CrewAI

Create your Vinkius account to connect USGS Water Services to CrewAI 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 CrewAI

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Coordinate site research and analysis

The `get_sites` tool acts as the initial researcher agent. It takes input filters (like a bBox or state code) to find relevant USGS sites. The resulting list of IDs is then passed to an analyst agent. The second agent, acting on that output, can use `get_instantaneous_values` to pull near real-time data for every site found in the first step.

Develop multi-step reporting pipelines

A dedicated 'Reporting' agent manages the workflow. It uses `get_daily_values` first to grab summarized daily stats. If those are sufficient, it stops. Otherwise, it hands off the task to a second agent that calls `get_statistics` for annual data. This creates an autonomous reporting pipeline without needing human intervention at each step.

Build comprehensive groundwater assessment teams

The 'Groundwater Expert' agent uses the `get_groundwater_levels` tool to retrieve historical manual records. The 'Comparator' agent then takes that data and compares it against the output from a third agent using `get_instantaneous_values`. This team structure allows you to compare long-term trends with current conditions automatically.

Setup guide

Set up USGS Water Services MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke USGS Water Services tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="USGS Water Services Analyst",
    goal="Access and analyze USGS Water Services data via MCP.",
    backstory="Expert analyst with direct USGS Water Services access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent USGS Water Services transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="USGS Water Services Analyst",
        goal="Access and analyze USGS Water Services data via MCP.",
        backstory="Expert analyst with direct USGS Water Services access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent USGS Water Services transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You assign specialized roles: one agent researches the site using `get_sites`, and a second agent analyzes that list by calling specific tools like `get_instantaneous_values` or `get_daily_values`. The agents share memory, so they know what happened before.

For site searches, you can combine multiple criteria like state codes (`stateCd`) and county IDs (`countyCd`). For real-time data, the `get_instantaneous_values` tool accepts a variety of precise filters.

Yes. You can build a team where one agent pulls long-term stats using `get_groundwater_levels`, and another agent uses the more current data available from `get_instantaneous_values` for direct comparison.

The server provides streamflow, groundwater levels (manual records), and site metadata. Your crew can pull daily summaries (`get_daily_values`) or annual statistics using `get_statistics`.

The `get_sites` tool is your starting point. It lets you search and pull detailed records about the location itself, which then gives your other agents context for their work.

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