How to Use the Twelve Data MCP in OpenAI Agents SDK

Q: Does Twelve Data support crypto pairs with OpenAI Agents SDK?

Yes. You can use getcryptolist to find available pairs, and then other pricing tools handle the data. The entire flow runs through the MCP Server, which is designed for production deployment.

Q: What if I need to convert currencies using Twelve Data with the OpenAI Agents SDK?

Just use the convertcurrency tool. It takes an amount and converts it between two specified currencies, keeping your agent's data consistent globally.

Q: Can the MCP Server handle forex data types for OpenAI Agents SDK?

Absolutely. You can list available pairs using getforexlist, and then fetch current rates with getexchangerate. This keeps your foreign exchange calculations clean.

Build production financial agents with OpenAI Agents SDK. Get real data actions without config hassle.

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Connect Twelve Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect Twelve Data 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 Twelve Data with OpenAI Agents SDK

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Get Real-Time Pricing Data

Use `get_quote` to pull the current stock price instantly. This tool gives you live quotes, so your agents always work with fresh data. Want something faster? Try `get_real_time_price`. It’s lighter than a full quote and perfect for high-frequency operations in your deployed agent system.

Analyze Market Trends

You can calculate key indicators to spot market shifts. For example, `get_rsi` tells you if something is overbought (above 70) or oversold (below 30). This helps your agent make smarter trade decisions. Need a longer view? Use `get_macd`. It tracks momentum and trend following, which is crucial for complex financial workflows run by the MCP Server.

Find Financial Instruments

Don't know what symbol you need? Run `search_symbols` to filter by instrument type or exchange. This helps your agents locate specific assets before fetching data. Need a list of options first? Call `get_stock_list`. You can even narrow it down by an exchange, making the whole process much tighter for your AI client.

Setup guide

Set up Twelve Data 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 Twelve Data tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Twelve Data 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="Twelve Data Agent",
            instructions="You have access to Twelve Data tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Twelve Data MCP in OpenAI Agents SDK

You pass the MCP Server instance directly to the Agent constructor. Since agents auto-discover tools, you just need to point it at the server endpoint. Your guardrails will then validate all actions before they run.

Yes. You can use `get_crypto_list` to find available pairs, and then other pricing tools handle the data. The entire flow runs through the MCP Server, which is designed for production deployment.

The server handles real-time stock quotes, historical OHLCV candle data via `get_time_series`, and currency exchange rates. You're working with live pricing information.

Just use the `convert_currency` tool. It takes an amount and converts it between two specified currencies, keeping your agent's data consistent globally.

Absolutely. You can list available pairs using `get_forex_list`, and then fetch current rates with `get_exchange_rate`. This keeps your foreign exchange calculations clean.

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