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Claude CodeCLI
Data.gov Catalog MCP Server

Bring Open Data
to Claude Code

Learn how to connect Data.gov Catalog to Claude Code and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get Harvest RecordGet Harvest Record RawGet Harvest Record TransformedGet KeywordsGet Location GeometryGet OrganizationsSearch DatasetsSearch Locations

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Data.gov Catalog

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter 'PUBLIC' or your API key if required by your proxy
  3. Start querying the US Government's open data repository directly from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Scientists — quickly find relevant datasets for analysis without manual browsing
  • Researchers — access official government metadata and harvest records for academic or policy work
  • Developers — integrate public data sources into applications using structured GeoJSON and DCAT-US metadata

Built-in capabilities (8)

get_harvest_record

Retrieve metadata about how a dataset was ingested

get_harvest_record_raw

Retrieve original unmodified source payload for a harvest record

get_harvest_record_transformed

Retrieve transformed DCAT-US payload for a harvest record

get_keywords

Retrieve commonly used keywords and their dataset counts

get_location_geometry

Retrieve the GeoJSON boundary for a specific location ID

get_organizations

Retrieve the complete list of publishing organizations

search_datasets

Search the catalog using keywords, filters, and sorting

search_locations

Autocomplete search for location names to use with spatial filtering

Why Claude Code?

Claude Code registers Data.gov Catalog as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Data.gov Catalog data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Data.gov Catalog tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Data.gov Catalog in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Data.gov Catalog and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Data.gov Catalog to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Data.gov Catalog in Claude Code

The Data.gov Catalog 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Data.gov Catalog
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

The Vinkius Advantage

How Vinkius secures Data.gov Catalog for Claude Code

Every tool call from Claude Code to the Data.gov Catalog MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I search for datasets within a specific geographic area?

Yes! Use search_locations to find a location ID, then get_location_geometry to get the GeoJSON. Finally, pass that to search_datasets with the spatial_geometry parameter.

02

How do I find datasets from a specific agency like NASA?

Use the search_datasets tool and provide 'nasa' in the org_slug parameter. You can combine this with a search query q for more specific results.

03

What is the difference between raw and transformed harvest records?

The get_harvest_record_raw tool returns the original metadata from the source agency, while get_harvest_record_transformed returns the data mapped to the standard DCAT-US schema used by Data.gov.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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