Bring Open Data
to AutoGen
Learn how to connect Data.gov Catalog to AutoGen and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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_locationsandget_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_rawandget_harvest_record_transformed. - Keyword Trends — Analyze commonly used keywords and their dataset counts to identify data trends using
get_keywords.
How it works
- Subscribe to this server
- Enter 'PUBLIC' or your API key if required by your proxy
- 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)
Retrieve metadata about how a dataset was ingested
Retrieve original unmodified source payload for a harvest record
Retrieve transformed DCAT-US payload for a harvest record
Retrieve commonly used keywords and their dataset counts
Retrieve the GeoJSON boundary for a specific location ID
Retrieve the complete list of publishing organizations
Search the catalog using keywords, filters, and sorting
Autocomplete search for location names to use with spatial filtering
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Data.gov Catalog tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
- —
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Data.gov Catalog tools to solve complex tasks
- —
Role-based architecture lets you assign Data.gov Catalog tool access to specific agents. a data analyst queries while a reviewer validates
- —
Human-in-the-loop support: agents can pause for human approval before executing sensitive Data.gov Catalog tool calls
- —
Code execution sandbox: AutoGen agents can write and run code that processes Data.gov Catalog tool responses in an isolated environment
Data.gov Catalog in AutoGen
Data.gov Catalog and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Data.gov Catalog to AutoGen 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Data.gov Catalog in AutoGen
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 AutoGen 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.
* 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
How Vinkius secures
Data.gov Catalog for AutoGen
Every tool call from AutoGen to the Data.gov Catalog MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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 tool 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 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.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Data.gov Catalog tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
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Install: pip install "autogen-ext[mcp]"
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