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How to Use the EuroRates MCP in LlamaIndex

Index live Euro conversion rates directly into your LlamaIndex vector store for grounded financial RAG.

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LlamaIndex

Connect EuroRates MCP to LlamaIndex

Create your Vinkius account to connect EuroRates 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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Index EuroRates data into LlamaIndex vector stores

Stop letting your financial RAG applications guess exchange values. By calling `get_latest_euro_rates` through this MCP server, you can feed live conversion data directly into your document indexes. The raw rates become searchable nodes in your vector store. This ensures your agent answers financial queries using actual, current exchange numbers. When a user asks about EUR balances, the system pulls the exact rates from the index instead of relying on outdated training data.

Build live financial RAG pipelines

Combine static documents with live exchange rates. Your LlamaIndex query engine can read a PDF invoice in EUR, call `get_latest_euro_rates`, and output the converted total in USD. It bridges the gap between static files and live APIs. The tool execution runs in an isolated V8 sandbox. This keeps your sensitive financial documents separated from external networks while giving your agent the exact numbers it needs to complete the calculation.

Avoid financial hallucinations in agent runs

LLMs are notoriously bad at math and currency rates. By exposing `get_latest_euro_rates` to your LlamaIndex function agent, you force the LLM to fetch real numbers instead of making them up. You can restrict the agent to only use this specific tool for currency tasks. This prevents it from trying to calculate exchange rates manually, keeping your financial reports accurate and auditable.

Setup guide

Set up EuroRates MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all EuroRates MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 EuroRates tools.",
)
response = await agent.run("List recent EuroRates data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EuroRates. 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 EuroRates MCP in LlamaIndex

Install the MCP tool spec and initialize the basic client with your Vinkius URL. Convert the client into tools using our LlamaIndex MCP tool spec and pass them to your FunctionAgent.
Yes, once you fetch rates using `get_latest_euro_rates`, you can save those documents into a VectorStoreIndex. Your agent can query past rates semantically to analyze currency trends using this MCP tool.
The tool spec handles network exceptions gracefully. If `get_latest_euro_rates` fails, LlamaIndex raises a standard tool execution error, allowing your router to fall back to cached rates or other MCP servers.
Yes, you can use the `allowed_tools` filter when converting the client spec. This ensures your agent only has access to `get_latest_euro_rates` and nothing else.
Absolutely. All EUR exchange rates requests are processed in an ephemeral sandbox that destroys itself after execution. We secure the endpoint with a single MCP token, ensuring your financial queries are never exposed to public networks.

Start using the EuroRates MCP today

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