How to Use the Inflation-Adjusted Return Calculator MCP in LlamaIndex

Index real purchasing power data into your LlamaIndex RAG pipelines with this financial MCP.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Inflation-Adjusted Return Calculator MCP to LlamaIndex

Create your Vinkius account to connect Inflation-Adjusted 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 Inflation-Adjusted Return Calculator with LlamaIndex

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Calculate real yields for LlamaIndex knowledge bases

The `get_real_return_percentage` tool computes the actual return of an asset after stripped of inflation. It uses the Fisher equation to deliver precise, uninflated performance metrics. By feeding this tool into your RAG pipeline, your agent indexes actual yield data rather than nominal marketing fluff. This ensures your search results are grounded in real economic facts.

Quantify cash destruction inside your index

The `compute_absolute_inflationary_erosion` tool calculates the real-money loss of holding stagnant cash. It translates abstract inflation percentages into actual dollars lost. You can index these erosion values into a vector store to build historical financial reports. This gives your agent a searchable memory of past economic damage.

Track preserved value with this MCP

The `calculate_purchasing_power_ratio` tool determines the fraction of purchasing power that survives inflation. It lets you see exactly how much less a dollar buys today compared to yesterday. Your agent can query this ratio during live sessions to answer user questions about cost-of-living adjustments. It turns real-time calculations into searchable context.

Setup guide

Set up Inflation-Adjusted 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 Inflation-Adjusted 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 Inflation-Adjusted Return Calculator tools.",
)
response = await agent.run("List recent Inflation-Adjusted Return Calculator data")

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