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USAspending (Federal Spending) MCP Server for LlamaIndexGive LlamaIndex instant access to 32 tools to Autocomplete Awarding Agency, Autocomplete Glossary, Autocomplete Location, and more

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

Ask AI about this MCP Server for LlamaIndex

The USAspending (Federal Spending) MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 32 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 USAspending (Federal Spending). "
            "You have 32 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in USAspending (Federal Spending)?"
    )
    print(response)

asyncio.run(main())
USAspending (Federal Spending)
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 USAspending (Federal Spending) MCP Server

Connect to the official USAspending database and gain unprecedented transparency into how the United States government allocates its budget. This server allows any AI agent to query real-time federal financial data, from high-level agency overviews to specific contract details.

LlamaIndex agents combine USAspending (Federal Spending) tool responses with indexed documents for comprehensive, grounded answers. Connect 32 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

  • Agency Insights — Retrieve comprehensive overviews of toptier agencies, including their budgetary resources and obligations.
  • Award Tracking — Search and filter through millions of federal awards, contracts, and grants using advanced criteria.
  • Geographic Analysis — Break down spending by state, county, or congressional district to see where the money is going.
  • Sub-Agency Breakdown — List specific offices and sub-agencies within a department to identify internal spending distribution.
  • Historical Trends — Analyze spending and new award counts over time to identify fiscal patterns.

The USAspending (Federal Spending) MCP Server exposes 32 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 32 USAspending (Federal Spending) tools available for LlamaIndex

When LlamaIndex connects to USAspending (Federal Spending) through Vinkius, your AI agent gets direct access to every tool listed below — spanning federal-spending, budget-analysis, transparency, 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.

autocomplete

Autocomplete awarding agency on USAspending (Federal Spending)

Awarding agencies matching search text

autocomplete

Autocomplete glossary on USAspending (Federal Spending)

Glossary terms matching search text

autocomplete

Autocomplete location on USAspending (Federal Spending)

Locations based on search text

autocomplete

Autocomplete recipient on USAspending (Federal Spending)

Recipient names and UEI based on search text

bulk

Bulk download awards on USAspending (Federal Spending)

Generates ZIP file of award data in CSV

download

Download search on USAspending (Federal Spending)

ZIP file for Awards, Subawards, and Transactions

get

Get agency awards on USAspending (Federal Spending)

Get summary of transactions and obligations for an agency

get

Get agency awards count on USAspending (Federal Spending)

Count of award types for agencies in a fiscal year

get

Get agency budgetary resources on USAspending (Federal Spending)

Get budgetary resources and obligations by fiscal year

get

Get agency overview on USAspending (Federal Spending)

Get agency overview for details page

get

Get agency sub agencies on USAspending (Federal Spending)

List sub-agencies and offices with obligated amounts

get

Get award on USAspending (Federal Spending)

Get details about a specific award

get

Get award funding on USAspending (Federal Spending)

Federal account and agency funding info for an award

get

Get award types on USAspending (Federal Spending)

Map of award types by grouping

get

Get data dictionary on USAspending (Federal Spending)

JSON structure of the Rosetta Crosswalk Data Dictionary

get

Get disaster agency spending on USAspending (Federal Spending)

Insights on agencies receiving disaster funding

get

Get disaster award amount on USAspending (Federal Spending)

Obligation and outlay aggregations for disaster awards

get

Get disaster overview on USAspending (Federal Spending)

Overview of disaster/emergency funding and spending

get

Get download status on USAspending (Federal Spending)

Current status of a requested download job

get

Get glossary on USAspending (Federal Spending)

List of glossary terms and definitions

get

Get recipient on USAspending (Federal Spending)

Individual recipient details

get

Get recipient children on USAspending (Federal Spending)

Recipient details based on identifier

get

Get recipient state on USAspending (Federal Spending)

Basic information about a specified state

get

Get subawards on USAspending (Federal Spending)

Subawards related to a specific parent award

get

Get toptier agencies on USAspending (Federal Spending)

All toptier agencies and relevant data

get

Get transactions on USAspending (Federal Spending)

Transactions related to a specific parent award

list

List recipients on USAspending (Federal Spending)

List of recipients in the database

search

Search new awards over time on USAspending (Federal Spending)

List of time periods with new awards

search

Search spending by award on USAspending (Federal Spending)

Search and filter awards

search

Search spending by category on USAspending (Federal Spending)

g., agency, recipient, CFDA). Grouped spending data for visualizations

search

Search spending by geography on USAspending (Federal Spending)

Spending by state, county, or congressional district

search

Search spending over time on USAspending (Federal Spending)

Aggregated transaction amounts over time

Connect USAspending (Federal Spending) to LlamaIndex via MCP

Follow these steps to wire USAspending (Federal Spending) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 32 tools from USAspending (Federal Spending)

Why Use LlamaIndex with the USAspending (Federal Spending) MCP Server

LlamaIndex provides unique advantages when paired with USAspending (Federal Spending) through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine USAspending (Federal Spending) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain USAspending (Federal Spending) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query USAspending (Federal Spending), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what USAspending (Federal Spending) tools were called, what data was returned, and how it influenced the final answer

USAspending (Federal Spending) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the USAspending (Federal Spending) MCP Server delivers measurable value.

01

Hybrid search: combine USAspending (Federal Spending) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query USAspending (Federal Spending) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USAspending (Federal Spending) for fresh data

04

Analytical workflows: chain USAspending (Federal Spending) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for USAspending (Federal Spending) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with USAspending (Federal Spending) immediately.

01

"Get the agency overview for the Department of Energy using toptier code 089."

02

"List all sub-agencies and their obligated amounts for the Department of Justice (toptier code 015)."

03

"Search for spending by geography for the state of Texas in fiscal year 2023."

Troubleshooting USAspending (Federal Spending) MCP Server with LlamaIndex

Common issues when connecting USAspending (Federal Spending) to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

USAspending (Federal Spending) + LlamaIndex FAQ

Common questions about integrating USAspending (Federal Spending) MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query USAspending (Federal Spending) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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