How to Use the Numbers API MCP in OpenAI Agents SDK

Q: How do I configure the Numbers API with the OpenAI Agents SDK?

Pass the secure connection URL to MCPServerStreamableHttp and add it to your agent constructor. The SDK automatically registers all five MCP tools like getmathfact and getdatefact without manual setup.

Q: Can I trace calls made by the Numbers API using OpenAI Agents SDK?

Yes, every execution of tools like getyearfact shows up directly in your OpenAI tracing dashboard. You see the exact input parameters and the raw text response returned by the server.

Get instant facts about numbers and dates directly inside your OpenAI Agents SDK workflow with zero configuration.

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Connect Numbers API MCP to OpenAI Agents SDK

Create your Vinkius account to connect Numbers API 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 Numbers API with OpenAI Agents SDK

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Math and Trivia Fact Retrieval

The `get_math_fact` and `get_trivia_fact` tools fetch mathematical properties and trivia for any integer you pass. Your OpenAI Agents SDK pipeline routes these facts into active context. It lets your agent reason about numeric values before executing downstream logic. We run this MCP Server in a zero-trust sandbox to guarantee clean execution. Your agent auto-discovers these tools. It instantly adds quantitative context to your workflows without manual schema mapping.

Historical and Date Context for OpenAI Agents SDK

The `get_date_fact` and `get_year_fact` tools pull historical events and date-specific milestones directly into your agent runs. When your agent encounters a year or a calendar date, it runs these tools to ground its reasoning in verified historical data. This server connects to your agent via a single secure endpoint token. The OpenAI dashboard traces every single tool call, giving you a clear view of how your agents use historical data to make decisions.

Random Fact Generation with Built-in Guardrails

The `get_random_fact` tool generates unpredictable trivia that your agent can use to seed creative tasks or test edge cases. Because the OpenAI Agents SDK enforces strict guardrails, you can validate these random responses before they reach your end users. The V8 engine hosting this MCP server isolates every request. You get raw text facts back, which your guardrails check for safety before passing them to the next agent in your chain.

Setup guide

Set up Numbers API 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 Numbers API tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Numbers API 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="Numbers API Agent",
            instructions="You have access to Numbers API 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 Numbers 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 Numbers API MCP in OpenAI Agents SDK

Pass the secure connection URL to `MCPServerStreamableHttp` and add it to your agent constructor. The SDK automatically registers all five MCP tools like `get_math_fact` and `get_date_fact` without manual setup.

Yes, every execution of tools like `get_year_fact` shows up directly in your OpenAI tracing dashboard. You see the exact input parameters and the raw text response returned by the server.

You can dedicate one specialized agent to mathematical reasoning with `get_math_fact` and hand off to a creative agent when `get_trivia_fact` is needed. The SDK manages these transitions while maintaining the shared tool state.

No, this setup requires an active network connection to fetch live data from the upstream service. If the connection drops, the tool calls will fail, which you should handle using standard try-except blocks in your Python code.

Vinkius hosts this MCP server in an ephemeral, zero-trust sandbox that handles your numeric inputs securely. Your requested numbers, dates, and years are never stored or logged on our infrastructure after the tool execution completes.

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