ExchangeRate-API MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ExchangeRate-API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 ExchangeRate-API. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in ExchangeRate-API?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ExchangeRate-API MCP Server
Equip your AI agent with real-time financial intelligence via ExchangeRate-API. This unified server provides your agent with instant access to current and historical exchange rates for over 160 currencies. Your agent can search for the latest rates, audit currency pairs, and retrieve enriched metadata for any supported currency without you ever searching manually. Whether you are auditing international transactions or managing global financial operations, your agent acts as a dedicated currency analyst and conversion expert through natural conversation.
LlamaIndex agents combine ExchangeRate-API tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Real-time Rates — Access the latest exchange rates for any base currency, updated in real-time.
- Pair Conversion — Calculate exact exchange rates or convert specific amounts between any two currency codes.
- Historical Auditing — Fetch exchange rates for any specific date in the past to analyze financial trends.
- Currency Intelligence — List all supported currencies and retrieve enriched metadata including full names and flags.
- Data Integrity — Retrieve reliable financial data used by thousands of companies worldwide.
The ExchangeRate-API MCP Server exposes 5 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ExchangeRate-API to LlamaIndex via MCP
Follow these steps to integrate the ExchangeRate-API MCP Server with LlamaIndex.
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 5 tools from ExchangeRate-API
Why Use LlamaIndex with the ExchangeRate-API MCP Server
LlamaIndex provides unique advantages when paired with ExchangeRate-API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ExchangeRate-API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ExchangeRate-API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ExchangeRate-API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ExchangeRate-API tools were called, what data was returned, and how it influenced the final answer
ExchangeRate-API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ExchangeRate-API MCP Server delivers measurable value.
Hybrid search: combine ExchangeRate-API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ExchangeRate-API 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 ExchangeRate-API for fresh data
Analytical workflows: chain ExchangeRate-API queries with LlamaIndex's data connectors to build multi-source analytical reports
ExchangeRate-API MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect ExchangeRate-API to LlamaIndex via MCP:
convert_currency_pair
Convert between two currencies
get_enriched_currency_data
g., flag, full name). Get enriched currency information
get_historical_rates
Get historical exchange rates
get_latest_rates
g., USD). Get latest exchange rates
list_supported_currencies
List all supported currencies
Example Prompts for ExchangeRate-API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ExchangeRate-API immediately.
"Convert 100 USD to Brazilian Real."
"Show the current exchange rates for EUR."
"What was the exchange rate for USD to EUR on January 1st, 2020?"
Troubleshooting ExchangeRate-API MCP Server with LlamaIndex
Common issues when connecting ExchangeRate-API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpExchangeRate-API + LlamaIndex FAQ
Common questions about integrating ExchangeRate-API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect ExchangeRate-API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ExchangeRate-API to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.