How to Use the Unit & FX Calculator MCP in LlamaIndex

Q: How does LlamaIndex use Unit & FX Calculator?

It takes the deterministic outputs from tools like convertunit or batchconvert, converts them into structured data, and embeds them into your vector store. This makes the numerical results part of your searchable knowledge base.

Q: Can I query historical currency rates with Unit & FX Calculator using LlamaIndex?

While getrate provides live rates, indexing its output lets you build a record of recent or past rates. You'll need to manage the data capture process, but the results will be grounded in this MCP Server.

Q: Does Unit & FX Calculator support batch conversions for LlamaIndex?

Yes. When you use batchconvert, all converted physical units are outputted as a structured result that LlamaIndex can ingest and index together, maintaining the relationship between the input values.

Q: What if I need to combine unit conversions with document search using LlamaIndex?

You run the necessary tool call first—say convertunit—to get a precise number. Then, you index that number and its context alongside your documents, allowing semantic search to retrieve both the text and the required calculation.

Grounding Answers: Index Unit & FX Calculator results into LlamaIndex knowledge bases for reliable RAG applications.

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Connect Unit & FX Calculator MCP to LlamaIndex

Create your Vinkius account to connect Unit & FX Calculator to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Unit & FX Calculator with LlamaIndex

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Indexing Conversions with LlamaIndex

When you use `batch_convert`, the resulting list of converted physical units becomes indexable data. You can query past sessions and retrieve not just text, but mathematically verified conversions. This means your RAG application doesn't guess; it grounds its answers in actual, calculated API results that are stored alongside your documents.

Storing FX Rates via LlamaIndex

The `get_rate` tool fetches live currency data. By indexing this output, you create a searchable knowledge base of historical or recent exchange rates. You can ask questions like, 'What was the rate between CAD and AUD last week?' This provides immediate context for your query engine, ensuring accuracy when combining financial documents with general knowledge.

Single Unit Conversions in LlamaIndex

You can use `convert_unit` to convert specific physical units and then index the result. This makes single-value checks persistent and searchable. For example, if your document mentions a distance in feet but needs miles, you run the tool, get the definitive output, and store that conversion factor for later retrieval.

Setup guide

Set up Unit & FX 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 Unit & FX 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 Unit & FX Calculator tools.",
)
response = await agent.run("List recent Unit & FX Calculator data")

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Common questions about Unit & FX Calculator MCP in LlamaIndex

It takes the deterministic outputs from tools like `convert_unit` or `batch_convert`, converts them into structured data, and embeds them into your vector store. This makes the numerical results part of your searchable knowledge base.

While `get_rate` provides live rates, indexing its output lets you build a record of recent or past rates. You'll need to manage the data capture process, but the results will be grounded in this MCP Server.

Yes. When you use `batch_convert`, all converted physical units are outputted as a structured result that LlamaIndex can ingest and index together, maintaining the relationship between the input values.

You run the necessary tool call first—say `convert_unit`—to get a precise number. Then, you index that number and its context alongside your documents, allowing semantic search to retrieve both the text and the required calculation.

This server touches Physical Measurements and Currency Data. Because you are indexing these calculated values, ensure your vector store's access controls limit who can query specific ranges or sensitive conversion factors.

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