How to Use the Data.gov Catalog MCP in CrewAI

Deploy specialized agent crews using CrewAI to research, analyze, and report on government datasets from the official catalog.

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Connect Data.gov Catalog MCP to CrewAI

Create your Vinkius account to connect Data.gov Catalog 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 Data.gov Catalog with CrewAI

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Coordinate research crews via CrewAI

Assign a researcher agent to use `get_keywords` to identify trending topics across the entire catalog. Another agent in the crew can then use `search_datasets` to pull the actual records once the research phase finishes.

Automate spatial analysis with CrewAI

Task your agents with locating specific regions using `search_locations` and then extracting boundaries with `get_location_geometry`. By separating these tasks, your agents perform focused actions that prevent them from getting overwhelmed by large datasets.

Monitor catalog health using CrewAI

Have a monitor agent check `get_harvest_record` periodically to see if recent ingestion attempts succeeded. If the status indicates a failure, a moderator agent can flag the dataset for human review or attempt a re-fetch.

Setup guide

Set up Data.gov Catalog 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 Data.gov Catalog tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Data.gov Catalog 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="Data.gov Catalog Analyst",
        goal="Access and analyze Data.gov Catalog data via MCP.",
        backstory="Expert analyst with direct Data.gov Catalog access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Data.gov Catalog 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 Data.gov. 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 Data.gov Catalog MCP in CrewAI

You pass the server URL directly into the agent's MCP configuration list. The framework then handles the connection and exposes the tools to your crew.

Yes, agents use shared memory to pass findings between each other. One agent can find a list of datasets, and another can analyze the harvest records for those specific IDs.

You define specific instructions in your agent's prompt to narrow down the search parameters. This ensures the agent only calls the tools with the filters you care about.

You can use a tool filter in your configuration. This limits which specific functions an agent can see and use, keeping your crew's scope narrow.

We utilize an ephemeral V8 sandbox to process every request. Since this server only handles public government data, no sensitive user information is ever logged or stored.

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