Data.gov MCP Server for LangChain 13 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Data.gov 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
Vinkius supports streamable HTTP and SSE.
import 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": {
"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, 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 MCP Server
Connect to Data.gov and explore the US government's open data catalog through natural conversation — no API key needed.
LangChain's ecosystem of 500+ components combines seamlessly with Data.gov through native MCP adapters. Connect 13 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 Search — Search 300,000+ federal datasets by keyword, organization, tags and topic
- Dataset Details — Get full metadata including descriptions, resource downloads, licenses and data dictionaries
- Browse Organizations — Explore all federal agencies publishing open data (NASA, USDA, EPA, NOAA, Census Bureau, etc.)
- Browse by Topic — Discover datasets organized by topic: agriculture, climate, education, health, finance, public safety
- Browse by Tags — Find datasets by popular tags and categories
- Resource Formats — Discover available download formats (CSV, JSON, XML, Shapefile, GeoJSON, PDF)
The Data.gov MCP Server exposes 13 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Data.gov to LangChain via MCP
Follow these steps to integrate the Data.gov MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 13 tools from Data.gov via MCP
Why Use LangChain with the Data.gov MCP Server
LangChain provides unique advantages when paired with Data.gov through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Data.gov 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 queries for multi-turn workflows
Data.gov + LangChain Use Cases
Practical scenarios where LangChain combined with the Data.gov MCP Server delivers measurable value.
RAG with live data: combine Data.gov tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Data.gov, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Data.gov tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Data.gov tool call, measure latency, and optimize your agent's performance
Data.gov MCP Tools for LangChain (13)
These 13 tools become available when you connect Data.gov to LangChain via MCP:
get_dataset
gov dataset by its ID or name. Returns full description, organization, tags, resource list (downloadable files), metadata dates, license info and data dictionary. Get detailed info for a specific dataset
get_group
Returns group name, description, image URL and published datasets (optional). Common groups: "agriculture", "climate", "education", "health", "finance", "public-safety". Get details for a specific topic group
get_group_datasets
Returns dataset titles, descriptions, organizations and download links. Get all datasets in a specific topic group
get_organization
gov. Returns organization name, description, contact info, image URL and published datasets (optional). Get details for a specific organization
get_organization_datasets
Returns dataset titles, descriptions, resource counts and download links. Get all datasets published by an organization
get_status
gov API including total counts of datasets, organizations, groups and tags. Get Data.gov API status and statistics
get_tag
Returns tag name, dataset count and associated datasets (up to 20). Get details for a specific tag
get_tag_datasets
Returns dataset titles, descriptions, organizations and download links. Get all datasets with a specific tag
list_groups
gov (e.g. agriculture, climate, education, health, finance). Returns group names, descriptions, image URLs and dataset counts. List all topic groups on Data.gov
list_organizations
gov. Returns organization names, descriptions, dataset counts, logos and contact info. List all organizations publishing data on Data.gov
list_resource_formats
). Useful for filtering datasets by preferred format. List all data formats available in Data.gov resources
list_tags
gov datasets. Returns tag names, dataset counts and display names. Useful for discovering common topics and filtering searches. List all tags used to categorize datasets
search_datasets
gov catalog of US federal government open datasets. Supports free-text search and filtering by organization, tags, groups. Returns dataset titles, descriptions, organizations, resource counts, tags and download links. Sort options include "metadata_modified desc" (recent), "views_recent desc" (popular). Search US government open data datasets
Example Prompts for Data.gov in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Data.gov immediately.
"Search for climate change datasets."
"What datasets does NASA publish?"
"Find education datasets about student performance."
Troubleshooting Data.gov MCP Server with LangChain
Common issues when connecting Data.gov to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersData.gov + LangChain FAQ
Common questions about integrating Data.gov 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?
Connect Data.gov with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Data.gov to LangChain
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.