How to Use the Financial Ratios Calculator MCP in OpenAI Agents SDK

Build production-ready finance agents with OpenAI Agents SDK to parse balance sheets and calculate core metrics.

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Connect Financial Ratios Calculator MCP to OpenAI Agents SDK

Create your Vinkius account to connect Financial Ratios Calculator to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Financial Ratios Calculator with OpenAI Agents SDK

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Auto-discover tools in your OpenAI Agents SDK

This MCP gives your financial agent the exact mathematical tools needed to evaluate corporate health. You pass the connection details to the Agent constructor and the functions appear instantly. Set cacheToolsList to true and you skip the discovery latency on every run. Production systems require strict guardrails before execution. When your agent calls `get_short_term_liquidity_ratios`, the SDK validates the inputs. If the agent tries to pass a string instead of a float for current assets, the framework catches it before hitting the calculation engine.

Route calculations between specialized agents

Multi-agent architectures work best when you scope responsibilities tightly. You can build one agent that reads quarterly filings and hands off the raw numbers to a dedicated math agent connected to this MCP. The math agent runs `get_long_term_solvency_ratios` to check debt-to-equity numbers. Once the calculation finishes, it passes the exact figures back to the primary agent for the final report. You see the entire trace of this handoff in your OpenAI dashboard.

Track debt obligations safely

Companies fail when they cannot service their debt. You need exact numbers to know if a firm survives the quarter. The `get_interest_coverage_ratio` tool handles the math. Your agent feeds it EBIT and interest expense. The output gives you the exact multiple, letting your system trigger alerts if the ratio drops below your defined threshold.

Setup guide

Set up Financial Ratios Calculator 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 Financial Ratios Calculator tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your Vinkius URL and pass it to the mcp_servers list in your Agent constructor.

Yes. Set cacheToolsList to true in your configuration. This stops the agent from refetching the schema on every single run.

It works perfectly. You can assign the MCP to a specific quantitative agent and have your main research agent route requests to it.

You subscribe to Vinkius to unlock over 4,000 managed MCPs. Connect your client once and you can call any tool in the registry.

Your accounting figures never train external models. The MCP processes your EBIT and asset numbers purely for the mathematical operation and returns the result immediately.

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