Data.gov Catalog MCP Server for CrewAIGive CrewAI instant access to 8 tools to Get Harvest Record, Get Harvest Record Raw, Get Harvest Record Transformed, and more

Name: Data.gov Catalog
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Data.gov Catalog through Vinkius, pass the Edge URL in the `mcps` parameter and every Data.gov Catalog tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Data.gov Catalog MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Data.gov Catalog Specialist",
    goal="Help users interact with Data.gov Catalog effectively",
    backstory=(
        "You are an expert at leveraging Data.gov Catalog tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Data.gov Catalog "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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About Data.gov Catalog MCP Server

Connect to the Data.gov Catalog to explore the comprehensive repository of US Government open data. This MCP server allows AI agents to discover datasets from agencies like NASA, NOAA, and the Census Bureau through natural language.

When paired with CrewAI, Data.gov Catalog becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Data.gov Catalog tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Dataset Discovery — Search the entire catalog using keywords, organization filters, and advanced sorting via search_datasets.
Spatial Analysis — Find datasets by geographic location using GeoJSON boundaries and spatial filters with search_locations and get_location_geometry.
Organization Insights — List all publishing organizations and filter results by specific agency slugs using get_organizations.
Metadata Inspection — Retrieve detailed harvest records, including raw and transformed DCAT-US payloads with get_harvest_record_raw and get_harvest_record_transformed.
Keyword Trends — Analyze commonly used keywords and their dataset counts to identify data trends using get_keywords.

The Data.gov Catalog MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Data.gov Catalog tools available for CrewAI

When CrewAI connects to Data.gov Catalog through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, federal-data, dataset-discovery, 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 harvest record on Data.gov Catalog

Retrieve metadata about how a dataset was ingested

get

Get harvest record raw on Data.gov Catalog

Retrieve original unmodified source payload for a harvest record

get

Get harvest record transformed on Data.gov Catalog

Retrieve transformed DCAT-US payload for a harvest record

get

Get keywords on Data.gov Catalog

Retrieve commonly used keywords and their dataset counts

get

Get location geometry on Data.gov Catalog

Retrieve the GeoJSON boundary for a specific location ID

get

Get organizations on Data.gov Catalog

Retrieve the complete list of publishing organizations

Search datasets on Data.gov Catalog

Search the catalog using keywords, filters, and sorting

Search locations on Data.gov Catalog

Autocomplete search for location names to use with spatial filtering

Connect Data.gov Catalog to CrewAI via MCP

Follow these steps to wire Data.gov Catalog into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Data.gov Catalog

Why Use CrewAI with the Data.gov Catalog MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Data.gov Catalog through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Data.gov Catalog + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Data.gov Catalog MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Data.gov Catalog for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Data.gov Catalog, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Data.gov Catalog tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Data.gov Catalog against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Data.gov Catalog in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Data.gov Catalog immediately.

"Search for NASA datasets related to climate change."

"List all government organizations that publish data here."

"Get the GeoJSON boundary for 'Los Angeles' to filter my search."

Troubleshooting Data.gov Catalog MCP Server with CrewAI

Common issues when connecting Data.gov Catalog to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Data.gov Catalog + CrewAI FAQ

Common questions about integrating Data.gov Catalog MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.