USAspending (Federal Spending) MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to USAspending (Federal Spending) through Vinkius, pass the Edge URL in the `mcps` parameter and every USAspending (Federal Spending) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The USAspending (Federal Spending) MCP Server for CrewAI 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

from crewai import Agent, Task, Crew

agent = Agent(
    role="USAspending (Federal Spending) Specialist",
    goal="Help users interact with USAspending (Federal Spending) effectively",
    backstory=(
        "You are an expert at leveraging USAspending (Federal Spending) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in USAspending (Federal Spending) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 32 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, USAspending (Federal Spending) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call USAspending (Federal Spending) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 32 tools from USAspending (Federal Spending)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with USAspending (Federal Spending) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

USAspending (Federal Spending) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries USAspending (Federal Spending) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries USAspending (Federal Spending), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain USAspending (Federal Spending) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries USAspending (Federal Spending) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for USAspending (Federal Spending) in CrewAI

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

USAspending (Federal Spending) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.