Fiscal Data (U.S. Treasury) MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Get Mts Table 1, Get Mts Table 9, Get Rates Of Exchange, and more

Name: Fiscal Data (U.S. Treasury)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Fiscal Data (U.S. Treasury). "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Fiscal Data (U.S. Treasury)?"
    )
    print(response)

asyncio.run(main())

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About Fiscal Data (U.S. Treasury) MCP Server

Connect directly to the U.S. Department of the Treasury's Fiscal Data API to retrieve authoritative financial information. This server enables AI agents to query a vast library of federal financial data for analysis, reporting, and economic research.

LlamaIndex agents combine Fiscal Data (U.S. Treasury) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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

Comprehensive Data Access — Query any of the 170+ available endpoints including debt, interest rates, and federal spending via the query_dataset tool.
Exchange Rates — Fetch official Treasury Reporting Rates of Exchange for international currencies using get_rates_of_exchange.
Monthly Treasury Statements — Access detailed summaries of federal receipts and outlays through get_mts_table_1 and get_mts_table_9.
Advanced Filtering — Apply precise filters, sorting, and pagination to handle large datasets efficiently directly within your conversation.

The Fiscal Data (U.S. Treasury) MCP Server exposes 4 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 4 Fiscal Data (U.S. Treasury) tools available for LlamaIndex

When LlamaIndex connects to Fiscal Data (U.S. Treasury) through Vinkius, your AI agent gets direct access to every tool listed below — spanning us-treasury, fiscal-data, exchange-rates, 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 mts table 1 on Fiscal Data (U.S. Treasury)

Get Monthly Treasury Statement (MTS) Table 1

get

Get mts table 9 on Fiscal Data (U.S. Treasury)

Get Monthly Treasury Statement (MTS) Table 9

get

Get rates of exchange on Fiscal Data (U.S. Treasury)

Get Treasury Reporting Rates of Exchange

query

Query dataset on Fiscal Data (U.S. Treasury)

Provide the endpoint path (e.g., v1/accounting/od/rates_of_exchange) and optional filters. Query any Fiscal Data dataset endpoint

Connect Fiscal Data (U.S. Treasury) to LlamaIndex via MCP

Follow these steps to wire Fiscal Data (U.S. Treasury) 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 4 tools from Fiscal Data (U.S. Treasury)

Why Use LlamaIndex with the Fiscal Data (U.S. Treasury) MCP Server

LlamaIndex provides unique advantages when paired with Fiscal Data (U.S. Treasury) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Fiscal Data (U.S. Treasury) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Fiscal Data (U.S. Treasury) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Fiscal Data (U.S. Treasury), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Fiscal Data (U.S. Treasury) tools were called, what data was returned, and how it influenced the final answer

Fiscal Data (U.S. Treasury) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Fiscal Data (U.S. Treasury) MCP Server delivers measurable value.

Hybrid search: combine Fiscal Data (U.S. Treasury) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) for fresh data

Analytical workflows: chain Fiscal Data (U.S. Treasury) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Fiscal Data (U.S. Treasury) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Fiscal Data (U.S. Treasury) immediately.

"Get the Treasury exchange rates for the Euro for the last recorded date."

"Show me the summary of federal receipts and outlays from MTS Table 1 for 2023."

"Use query_dataset to find data on the 'daily_treasury_statement' for the past week."

Troubleshooting Fiscal Data (U.S. Treasury) MCP Server with LlamaIndex

Common issues when connecting Fiscal Data (U.S. Treasury) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Fiscal Data (U.S. Treasury) + LlamaIndex FAQ

Common questions about integrating Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.