Data.gov Catalog Connector for AI agents.
8 live capabilities
Find and analyze US federal open data and spatial datasets.
Waiting for input…
Why people use Data.gov Catalog
Data.gov Catalog for Finding NASA and NOAA Datasets
This Connector changes that. You just tell your agent what you're looking for. It queries the catalog, filters the results, and presents the data you need in one go. You get the facts without the tabs.
What Vinkius changes
You get direct, natural language access to the entire US federal open data repository.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Climate Research Analysis
A scientist asks for NASA datasets related to ocean temperatures and gets a list of relevant records and their metadata.
- Real-world use case 02
Urban Planning Map Building
A developer needs the GeoJSON boundary for Los Angeles to filter local data and uses get_location_geometry to get it.
- Real-world use case 03
Policy Metadata Extraction
A researcher pulls all Census Bureau harvest records for a specific year to analyze official government data trends.
Complete set · 8capabilities
The complete Data.gov Catalog capability set.
These are the exact actions your AI can choose when you ask it to work with Data.gov Catalog.
01—04
4 capabilities in this set.
Part of 8 available through Data.gov Catalog.
- 01 Capability
Get location geometry
This capability retrieves the GeoJSON boundary for a specific location ID. Use it to get precise geographic shapes for your maps.
- 02 Capability
Get harvest record raw
This capability pulls the original, unmodified source payload for a harvest record. It's perfect for when you need the raw data exactly as it was submitted.
- 03 Capability
Get harvest record
This capability pulls metadata about how a dataset was originally ingested into the catalog. It helps you understand the source history of a specific record.
- 04 Capability
Get harvest record transformed
This capability retrieves the transformed DCAT-US payload for a specific harvest record. It provides structured data that's ready for use in most common applications.
05—08
4 capabilities in this set.
Part of 8 available through Data.gov Catalog.
- 05 Capability
Get keywords
This capability pulls commonly used keywords and their associated dataset counts. Use it to see what topics are currently trending in the government data.
- 06 Capability
Get organizations
This capability retrieves a complete list of all publishing organizations. It helps you quickly identify which agencies are providing the data you need.
- 07 Capability
Search locations
This capability provides an autocomplete search for location names. Use it to find the correct IDs needed for spatial filtering.
- 08 Capability
Search datasets
This capability searches the entire catalog using keywords, filters, and sorting. It's the primary way to find specific federal datasets.
Set up in minutes
One URL. Then ask Data.gov Catalog to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Data.gov Catalog from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Data.gov Catalog, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Data.gov Catalog for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Data.gov Catalog URL.
- Step 03
Save and start
Save the connection and enable Data.gov Catalog in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"datagov-catalog": {
"url": "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Data.gov Catalog
Open Agent mode in chat and ask: "Using Data.gov Catalog, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"datagov-catalog": {
"url": "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Data.gov Catalog
Ask Copilot: "Using Data.gov Catalog, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"datagov-catalog": {
"url": "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Data.gov Catalog
Open Cascade and ask: "Using Data.gov Catalog, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"datagov-catalog": {
"url": "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Data.gov Catalog
Ask Cline: "Using Data.gov Catalog, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add datagov-catalog --transport http "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Data.gov Catalog
Ask Claude: "Using Data.gov Catalog, show me...". 8 tools are ready
Where the request belongs
Work Data.gov can move forward.
This is for the data scientist who needs federal records for training models, the academic researcher hunting for policy data, and the developer building apps that rely on public government information.
Data Scientist
Finding specific NASA or Census datasets for training and validation without manual browsing.
Policy Researcher
Extracting official metadata and harvest records for academic papers or legislative reports.
GIS Developer
Pulling GeoJSON boundaries to build interactive maps and spatial data applications.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsData.gov
Search 300,000+ US government open datasets. agriculture, climate, education, health, finance and more.
HealthData.gov (HHS Open Data)
Access and query thousands of U.S. health datasets from HHS. browse the catalog and perform deep data analysis via SoQL.
FOIA.gov (Freedom of Information)
Access US government FOIA data. list agency components, retrieve request forms, and fetch annual reports directly from FOIA.gov.
GovInfo
Search and retrieve official US Government documents and publications via AI.
Federal Register API
Access US public documents. audit rules and agencies via AI.
Maranhão Open Data
Access public datasets from Maranhão, Brazil. search packages, inspect resources, and query the datastore via SQL.
Bring your own AI
Change the model, client or framework. Keep Data.gov connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Data.gov.
The practical details behind the request, access and result.
Can I find NASA data with the Data.gov Catalog?
Yes. You can search for specific datasets from NASA, NOAA, and other federal agencies directly through your agent.
Does the Data.gov Catalog provide spatial data?
It does. You can retrieve GeoJSON boundaries for specific locations to use in your own spatial analysis.
How do I find specific government agencies?
You can ask your agent to list all publishing organizations or filter by specific agency slugs.
Can I get the raw metadata for a dataset?
Yes. The Connector allows you to pull both the raw source payloads and the transformed DCAT-US records.
Is this for finding local city data?
It's for US federal data. You can find location boundaries for cities, but the datasets themselves are from federal agencies.
Can I see what topics are most popular?
You can use the keyword capability to see common terms and how many datasets are associated with each one.
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.
How do I find datasets from a specific agency like NASA?
Use the search_datasets capability and provide 'nasa' in the org_slug parameter. You can combine this with a search query q for more specific results.
What is the difference between raw and transformed harvest records?
The get_harvest_record_raw capability 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.
One connection away
Give your agent a direct line to Data.gov.
Connect Data.gov once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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