How to Use the ShowAPI / 易源数据 MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK manage multiple concurrent API calls from ShowAPI / 易源数据?

Yes, because you're using the async context manager (async with), your agent can queue up and run several tool calls simultaneously. It manages the handoffs between specialized MCP Server tools efficiently.

Q: Is the MCP Server performance-optimized for OpenAI Agents SDK?

Absolutely. We recommend setting cacheToolsList=True when passing the server to the Agent constructor. This boosts performance by optimizing how your AI client accesses the tool definitions.

Q: Does ShowAPI / 易源数据 offer support for historical data with OpenAI Agents SDK?

Yes. You can call gethistorytoday to fetch events that happened today, or you can use tools like getcurrencyrates to look at past rates if the tool supports it.

ShowAPI / 易源数据: Build Production Agents with OpenAI Agents SDK

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ShowAPI / 易源数据 MCP to OpenAI Agents SDK

Create your Vinkius account to connect ShowAPI / 易源数据 to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup ShowAPI / 易源数据 with OpenAI Agents SDK

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Build Complex Logic with MCP Server

You can chain together disparate services into a single workflow. For example, your agent first uses `get_ip_lookup` to determine the user's region, then calls `get_weather` for that area, and finally runs `translate_text` to summarize the forecast in Mandarin. Because agents auto-discover the tools, you don't write wrappers. You just pass the server endpoint, and your OpenAI Agents SDK handles the rest of the execution flow.

Handling Finance and Data Retrieval

Need to track market data or currency changes? Your agent uses `get_stock_info` for real-time ticker checks. It can pair that with a call to `get_currency_rates` to calculate international profit margins. This gives your AI client the necessary context—it's not just pulling random facts; it's building an actionable financial model based on reliable MCP Server data.

Accessing General Knowledge Bases

The ShowAPI / 易源数据 tools cover everything from linguistics to culture. You can ask your agent for a definition using `get_english_dictionary`, then follow up with an idiom explanation via `get_idiom_info`. It's great for educational applications where the AI client needs to synthesize information from varied, specialized sources.

Setup guide

Set up ShowAPI / 易源数据 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 ShowAPI / 易源数据 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ShowAPI / 易源数据 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ShowAPI / 易源数据 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="ShowAPI / 易源数据 Agent",
            instructions="You have access to ShowAPI / 易源数据 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 ShowAPI / 易源数据. 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 ShowAPI / 易源数据 MCP in OpenAI Agents SDK

You pass the server URL directly into your Agent constructor. Since agents auto-discover tools, you just need to ensure the endpoint token works. You can start by testing a simple tool like `get_jokes` to verify communication.

Yes, because you're using the async context manager (`async with`), your agent can queue up and run several tool calls simultaneously. It manages the handoffs between specialized MCP Server tools efficiently.

This server touches various data types, including geographical coordinates (from `get_ip_lookup`), financial metrics (from `get_stock_info`), and textual content (used by `translate_text`). The agent handles these varied outputs.

Absolutely. We recommend setting `cacheToolsList=True` when passing the server to the Agent constructor. This boosts performance by optimizing how your AI client accesses the tool definitions.

Yes. You can call `get_history_today` to fetch events that happened today, or you can use tools like `get_currency_rates` to look at past rates if the tool supports it.

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