How to Use the Treasury Return Calculator MCP in LlamaIndex

Index sovereign bond yields and inflation-adjusted returns directly into your LlamaIndex vector store.

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Connect Treasury Return Calculator MCP to LlamaIndex

Create your Vinkius account to connect Treasury Return Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Treasury Return Calculator with LlamaIndex

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Build a searchable sovereign debt index

The `calculate_bond_valuation` tool determines the fair market price and annualized yield of US Treasuries, UK Gilts, and German Bunds. LlamaIndex indexes these calculated yields directly into your vector database, making live financial metrics searchable. Instead of relying on static documents, your RAG system queries live calculation results. This prevents your agent from hallucinating outdated yields when writing investment summaries.

Compare global yields using this MCP Server

The `calculate_currency_equivalent_yield` tool normalizes foreign bond yields into your primary currency. It allows your LlamaIndex agent to index cross-border yield spreads for semantic retrieval later. Financial analysts can query past sessions to see how foreign yields compared after currency hedging. The agent retrieves the exact historical calculations to ground its answers in verified data.

Index inflation-adjusted returns for RAG

The `calculate_inflation_adjusted_return` tool calculates real purchasing power preservation by adjusting nominal yields for inflation. Your index stores these real returns to help your agent identify bonds that actually beat inflation. This creates a unified knowledge base where documents and live calculation outputs live side-by-side. Your queries return answers backed by rigorous mathematical calculations rather than generic text.

Setup guide

Set up Treasury Return Calculator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Treasury Return Calculator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Treasury Return Calculator tools.",
)
response = await agent.run("List recent Treasury Return Calculator data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Treasury Return Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Treasury Return Calculator MCP in LlamaIndex

Install the llama-index-tools-mcp package and initialize the basic client. Then, convert the MCP tools into a tool spec and pass them to your function agent.

Yes, you can index the tool outputs directly. This lets your agent perform semantic searches over past bond valuations and real yield calculations.

Yes, you can load the tool list asynchronously. This keeps your indexing pipelines fast when processing multiple bond valuations in parallel.

It supports US Treasuries, UK Gilts, and German Bunds, handling the specific math and yield structures for each market.

All bond price inputs and yield calculations are processed in memory and never persisted. Your sensitive portfolio data remains completely private and local to your execution environment.

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