Data.gov Catalog MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Get Harvest Record, Get Harvest Record Raw, Get Harvest Record Transformed, and more

Name: Data.gov Catalog
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Data.gov Catalog as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Data.gov Catalog MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Data.gov Catalog. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Data.gov Catalog?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Data.gov Catalog tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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.

The Data.gov Catalog MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Get harvest record on Data.gov Catalog

Retrieve metadata about how a dataset was ingested

get

Get harvest record raw on Data.gov Catalog

Retrieve original unmodified source payload for a harvest record

get

Get harvest record transformed on Data.gov Catalog

Retrieve transformed DCAT-US payload for a harvest record

get

Get keywords on Data.gov Catalog

Retrieve commonly used keywords and their dataset counts

get

Get location geometry on Data.gov Catalog

Retrieve the GeoJSON boundary for a specific location ID

get

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 LlamaIndex via MCP

Follow these steps to wire Data.gov Catalog into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Data.gov Catalog

Why Use LlamaIndex with the Data.gov Catalog MCP Server

LlamaIndex provides unique advantages when paired with Data.gov Catalog through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Data.gov Catalog tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Data.gov Catalog tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Data.gov Catalog, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Data.gov Catalog tools were called, what data was returned, and how it influenced the final answer

Data.gov Catalog + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Data.gov Catalog MCP Server delivers measurable value.

Hybrid search: combine Data.gov Catalog real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Data.gov Catalog to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Data.gov Catalog for fresh data

Analytical workflows: chain Data.gov Catalog queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Data.gov Catalog in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Data.gov Catalog to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Data.gov Catalog + LlamaIndex FAQ

Common questions about integrating Data.gov Catalog MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Data.gov Catalog tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.