How to Use the ExchangeRate- MCP in OpenAI Agents SDK

Q: How do I connect ExchangeRate- to my OpenAI Agents SDK project?

You initialize the connection using the MCPServerStreamableHttp class. Pass the endpoint URL to your agent constructor, and the tools will appear automatically in your agent's scope.

Q: Does ExchangeRate- work with OpenAI Agents SDK tool caching?

Yes. You can set cacheToolsList=True during initialization to speed up performance. This prevents your agent from re-fetching the tool definitions on every single turn.

Get real-time currency data inside your OpenAI Agents SDK production pipeline without manual parsing.

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Connect ExchangeRate- MCP to OpenAI Agents SDK

Create your Vinkius account to connect ExchangeRate- to OpenAI Agents SDK 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 ExchangeRate- with OpenAI Agents SDK

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Automated currency lookups for OpenAI Agents SDK

Your agent can grab live rates using `get_latest_rates` or calculate conversions with `get_pair_conversion` on the fly. It handles the request lifecycle so you can focus on agent orchestration. This MCP Server connects directly to your agent's toolset. Because it uses `get_supported_codes` to map every available currency, your agent won't guess codes when a user asks for a price check.

Audit your API usage from OpenAI Agents SDK

Don't let your agent burn through your budget. Use `get_quota` to check your remaining requests before triggering a long-running batch process. It's a simple way to keep your production agent within its limits. If your quota drops, your agent can decide to skip non-essential rate checks or notify you directly.

Analyze historical trends with OpenAI Agents SDK

Pull time-series data using `get_historical_data` to feed your agent's decision logic. It's built for agents that need to compare rates over weeks or months. For advanced use cases, `get_enriched_data` provides the granular metadata you need for complex financial modeling. This setup ensures your agent works with clean, structured data every time.

Setup guide

Set up ExchangeRate- MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ExchangeRate- tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ExchangeRate- tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ExchangeRate- tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ExchangeRate- Agent",
            instructions="You have access to ExchangeRate- tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ExchangeRate-API. 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 ExchangeRate- MCP in OpenAI Agents SDK

You initialize the connection using the `MCPServerStreamableHttp` class. Pass the endpoint URL to your agent constructor, and the tools will appear automatically in your agent's scope.

Yes. You can set `cacheToolsList=True` during initialization to speed up performance. This prevents your agent from re-fetching the tool definitions on every single turn.

Absolutely. Since the server provides standard tool responses, your agent can catch exceptions if a request fails or a rate limit is hit. You should implement a fallback logic in your agent's message loop.

Your key is handled by the Vinkius infrastructure, not your agent code. The server acts as a secure proxy, so your credentials never touch the agent's memory directly.

The server only touches currency codes, exchange rates, and usage quota numbers. It does not store or process any of your user's personal identification or transaction records.

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