Data.gov Catalog MCP Server for LangChainGive LangChain instant access to 8 tools to Get Harvest Record, Get Harvest Record Raw, Get Harvest Record Transformed, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Data.gov Catalog through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Data.gov Catalog MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"datagov-catalog": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Data.gov Catalog, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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
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.
LangChain's ecosystem of 500+ components combines seamlessly with Data.gov Catalog through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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.
The Data.gov Catalog MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 LangChain
When LangChain 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 harvest record on Data.gov Catalog
Retrieve metadata about how a dataset was ingested
Get harvest record raw on Data.gov Catalog
Retrieve original unmodified source payload for a harvest record
Get harvest record transformed on Data.gov Catalog
Retrieve transformed DCAT-US payload for a harvest record
Get keywords on Data.gov Catalog
Retrieve commonly used keywords and their dataset counts
Get location geometry on Data.gov Catalog
Retrieve the GeoJSON boundary for a specific location ID
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 LangChain via MCP
Follow these steps to wire Data.gov Catalog into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Data.gov Catalog MCP Server
LangChain provides unique advantages when paired with Data.gov Catalog through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Data.gov Catalog MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Data.gov Catalog queries for multi-turn workflows
Data.gov Catalog + LangChain Use Cases
Practical scenarios where LangChain combined with the Data.gov Catalog MCP Server delivers measurable value.
RAG with live data: combine Data.gov Catalog tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Data.gov Catalog, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Data.gov Catalog tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Data.gov Catalog tool call, measure latency, and optimize your agent's performance
Example Prompts for Data.gov Catalog in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Data.gov Catalog to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersData.gov Catalog + LangChain FAQ
Common questions about integrating Data.gov Catalog MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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