OpenExchangeAPI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenExchangeAPI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="OpenExchangeAPI Assistant",
instructions=(
"You help users interact with OpenExchangeAPI. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OpenExchangeAPI"
)
print(result.final_output)
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 OpenExchangeAPI MCP Server
Empower your AI agent to orchestrate your entire financial research and currency auditing workflow with OpenExchangeAPI, the reliable source for global exchange rates. By connecting OpenExchangeAPI to your agent, you transform complex currency data lookups into a natural conversation. Your agent can instantly retrieve latest rates, audit historical currency trends, and perform precise conversions without you ever touching a financial terminal. Whether you are conducting market analysis or managing international payments, your agent acts as a real-time financial analyst, ensuring your intelligence is always grounded in accurate, up-to-the-minute market data.
The OpenAI Agents SDK auto-discovers all 6 tools from OpenExchangeAPI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenExchangeAPI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Rate Auditing — Retrieve real-time exchange rates for over 200 currencies and maintain a clear view of global market fluctuations.
- Historical Oversight — Query historical rates for any specific date to audit past financial trends and valuations.
- Conversion Intelligence — Perform instant currency conversions between any pairs to assist in international budgeting.
- Temporal Intelligence — Query exchange rate time series to monitor currency performance over specific periods.
- Usage Monitoring — Get real-time API usage and plan metadata to maintain strict control over your research budget.
The OpenExchangeAPI MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenExchangeAPI to OpenAI Agents SDK via MCP
Follow these steps to integrate the OpenExchangeAPI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from OpenExchangeAPI
Why Use OpenAI Agents SDK with the OpenExchangeAPI MCP Server
OpenAI Agents SDK provides unique advantages when paired with OpenExchangeAPI through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
OpenExchangeAPI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OpenExchangeAPI MCP Server delivers measurable value.
Automated workflows: build agents that query OpenExchangeAPI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OpenExchangeAPI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenExchangeAPI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OpenExchangeAPI to resolve tickets, look up records, and update statuses without human intervention
OpenExchangeAPI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect OpenExchangeAPI to OpenAI Agents SDK via MCP:
convert_currency
Convert an amount from one currency to another
get_api_usage
Get current API usage and plan details
get_historical_rates
Get exchange rates for a specific historical date
get_latest_rates
Get the latest exchange rates for a base currency
get_rate_time_series
Get historical rates over a time period
list_supported_currencies
List all supported currency codes and names
Example Prompts for OpenExchangeAPI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenExchangeAPI immediately.
"Get the latest exchange rates for 'EUR' using OpenExchangeAPI."
"Convert 100 USD to BRL."
"What was the exchange rate for USD/JPY on 2020-01-01?"
Troubleshooting OpenExchangeAPI MCP Server with OpenAI Agents SDK
Common issues when connecting OpenExchangeAPI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenExchangeAPI + OpenAI Agents SDK FAQ
Common questions about integrating OpenExchangeAPI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect OpenExchangeAPI 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 OpenExchangeAPI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.