How to Use the Moving Average Engine MCP in OpenAI Agents SDK

Q: How do I connect the Moving Average Engine to the OpenAI Agents SDK?

Initialize an MCPServerStreamableHttp object with your endpoint URL. Pass it directly to the mcpservers argument in your Agent constructor. The SDK will auto-discover the tools on startup.

Force exact mathematical precision in your OpenAI Agents SDK production pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Moving Average Engine MCP to OpenAI Agents SDK

Create your Vinkius account to connect Moving Average Engine 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.

GDPR Free for Subscribers

Setup Moving Average Engine with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deterministic math for OpenAI Agents SDK

The `calculate_moving_average` tool executes exact Simple (SMA) and Exponential (EMA) math on your provided datasets. Autoregressive models cannot do recursive floating-point arithmetic reliably. You pass an array of closing prices to this MCP server, and it returns the precise numerical result. Production agent systems require strict safety constraints. By wiring this engine into your `mcp_servers` list, you stop the agent from attempting to estimate technical indicators. Your OpenAI dashboard tracing will show the exact array inputs and the deterministic outputs, proving the math is correct before any trade execution logic fires.

Isolate financial logic from chat

The `calculate_moving_average` tool acts as a strict mathematical boundary for your specialized financial agents. When a user asks for a 50-day EMA, the routing agent hands the task off to a quantitative agent equipped with this specific tool. The model never touches the actual division or weighting logic. Setting `cacheToolsList=True` ensures the OpenAI engine knows exactly when to call this server without re-fetching schemas. The built-in guardrails validate the array inputs before execution. If the data is malformed, the SDK catches it before the server even processes the request.

Zero-config MCP Server connection

The `calculate_moving_average` tool becomes instantly available to your agent through a standard HTTP connection. You initialize `MCPServerStreamableHttp` with your Vinkius endpoint token. The OpenAI framework auto-discovers the schema and registers the required parameters. You do not need to write custom Python wrappers for basic financial math. The SDK handles the asynchronous context management automatically. Your agent simply decides it needs a trend line, formats the historical data, and waits for the exact numerical response.

Setup guide

Set up Moving Average Engine 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 Moving Average Engine tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by technicalindicators. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Moving Average Engine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Moving Average Engine MCP in OpenAI Agents SDK

Initialize an `MCPServerStreamableHttp` object with your endpoint URL. Pass it directly to the `mcp_servers` argument in your Agent constructor. The SDK will auto-discover the tools on startup.

Large language models hallucinate recursive math like EMA calculations. This external engine guarantees exact floating-point accuracy. You keep the deterministic logic entirely separate from the probabilistic text generation.

Yes. The SDK validates the agent's proposed action against the tool's JSON schema before sending the request. If the agent tries to send text instead of a numerical array, the framework blocks it immediately.

The tool calculates Simple Moving Averages (SMA) and Exponential Moving Averages (EMA). You specify the type and the period length in the parameters alongside your data array.

The server processes your numerical arrays in a V8 Isolate Sandbox that destroys itself after the math completes. We do not store your time-series inputs or the calculated averages. Every connection requires a valid endpoint token, and zero data persists across sessions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript