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

Name: USAspending (Federal Spending)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect USAspending (Federal Spending) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The USAspending (Federal Spending) MCP Server for LangChain is a standout in the Industry Titans category — giving your AI agent 32 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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VS Code

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+ other MCP clients

python

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({
        "usaspending-federal-spending": {
            "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 USAspending (Federal Spending), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with USAspending (Federal Spending) through native MCP adapters. Connect 32 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

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 LangChain 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 LangChain

When LangChain 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 new awards over time on USAspending (Federal Spending)

List of time periods with new awards

Search spending by award on USAspending (Federal Spending)

Search and filter awards

Search spending by category on USAspending (Federal Spending)

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

Search spending by geography on USAspending (Federal Spending)

Spending by state, county, or congressional district

Search spending over time on USAspending (Federal Spending)

Aggregated transaction amounts over time

Connect USAspending (Federal Spending) to LangChain via MCP

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

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 32 tools from USAspending (Federal Spending) via MCP

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

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

The largest ecosystem of integrations, chains, and agents. combine USAspending (Federal Spending) 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 USAspending (Federal Spending) queries for multi-turn workflows

USAspending (Federal Spending) + LangChain Use Cases

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

RAG with live data: combine USAspending (Federal Spending) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query USAspending (Federal Spending), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain USAspending (Federal Spending) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every USAspending (Federal Spending) tool call, measure latency, and optimize your agent's performance

Example Prompts for USAspending (Federal Spending) in LangChain

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

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

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

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

Troubleshooting USAspending (Federal Spending) MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

USAspending (Federal Spending) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.