Moving Average Engine MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Calculate Moving Average

Name: Moving Average Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Moving Average Engine through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Moving Average Engine MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Moving Average Engine Assistant",
            instructions=(
                "You help users interact with Moving Average Engine. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Moving Average Engine"
        )
        print(result.final_output)

asyncio.run(main())

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About Moving Average Engine MCP Server

Large Language Models are notoriously bad at sequential math. If you give an LLM 100 days of stock closing prices and ask for a 14-day SMA, it will hallucinate the averages. This engine processes arrays natively in JS, computing mathematically precise Simple and Exponential Moving Averages local, giving your financial agents the reliable technical indicators they need for quantitative analysis.

The OpenAI Agents SDK auto-discovers all 1 tools from Moving Average Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Moving Average Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Moving Average Engine MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Moving Average Engine tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Moving Average Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning technical-indicators, quantitative-analysis, stock-market-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate moving average on Moving Average Engine

Calculates exact Simple (SMA) or Exponential (EMA) moving averages

Connect Moving Average Engine to OpenAI Agents SDK via MCP

Follow these steps to wire Moving Average Engine into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 1 tools from Moving Average Engine

Why Use OpenAI Agents SDK with the Moving Average Engine MCP Server

OpenAI Agents SDK provides unique advantages when paired with Moving Average Engine through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Moving Average Engine + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Moving Average Engine MCP Server delivers measurable value.

Automated workflows: build agents that query Moving Average Engine, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Moving Average Engine, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Moving Average Engine tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Moving Average Engine to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Moving Average Engine in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Moving Average Engine immediately.

"Here are 200 daily closing prices for Apple. Calculate the 50-day Simple Moving Average."

"I need to spot short-term trends. Run a 9-period EMA on these hourly crypto prices."

"Calculate both a 50-day SMA and a 200-day SMA for this dataset. Tell me the exact index where the 50 crosses above the 200."

Troubleshooting Moving Average Engine MCP Server with OpenAI Agents SDK

Common issues when connecting Moving Average Engine to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Moving Average Engine + OpenAI Agents SDK FAQ

Common questions about integrating Moving Average Engine MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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