How to Use the Dynamo Software MCP in OpenAI Agents SDK

Build production-grade investment agents with OpenAI Agents SDK. Connect your Dynamo Software data to automated workflows today.

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Connect Dynamo Software MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dynamo Software 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 Dynamo Software with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Automated portfolio valuation auditing

Run `quick_portfolio_valuation_audit` to instantly pull high-level summaries without manual intervention. Your agent parses these figures against your internal benchmarks immediately. This workflow ensures your agent acts on precise data. It skips the manual spreadsheet reconciliation that usually slows down your reporting cycles.

Real-time investment fund monitoring

Use `list_latest_dynamo_activities` to track notes and updates as they hit the system. Your agent maintains a current view of all fund events. This keeps your team informed about every significant change. You spend less time chasing status updates and more time evaluating the actual performance metrics.

Direct Dynamo Software fund lookups

Trigger `search_investment_funds` or `get_fund_details` to pull specific fund data into your agent's context. You get the exact settings you need for deep analysis. This removes the need to jump between browser tabs. Your agent handles the data retrieval so you can focus on the investment thesis.

Setup guide

Set up Dynamo Software 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 Dynamo Software tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

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Common questions about Dynamo Software MCP in OpenAI Agents SDK

You manage security through the Vinkius gateway. Your agent only accesses the Dynamo Software endpoints you authorize via your endpoint token.

Yes. The server handles pagination and tool calls efficiently. You just define the scope and let the agent process the relevant records.

The server returns a standard error code. Your agent receives the failure notice and logs it for your review.

Absolutely. This server handles sensitive portfolio valuations and investor contact lists. No data is stored or logged by Vinkius; it only passes through the encrypted connection to your agent.

It does. The integration is built to handle non-blocking requests. Your agent remains responsive while waiting for the API to return fund details.

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