How to Use the Fee Navigator MCP in OpenAI Agents SDK

Q: Can I audit statements using Fee Navigator with OpenAI Agents SDK?

You can. By chaining uploadstatement and getaudit, your agent builds a complete audit trail. It manages the lifecycle of each statement from upload to final report.

Audit merchant statements in your OpenAI Agents SDK pipeline. Track savings and generate proposals without leaving your production code.

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Connect Fee Navigator MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fee Navigator 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 Fee Navigator with OpenAI Agents SDK

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Automate statement ingestion for OpenAI Agents SDK

Feed raw merchant statements into your pipeline using `upload_statement`. The server parses complex fee structures instantly so your agent can focus on identifying savings. Once the file is live, trigger `analyze_statement` to get a structured breakdown. Your agent receives clean data, skipping the manual grunt work of reading PDFs.

Manage audit workflows with Fee Navigator

Use `list_audits` to track the status of current reviews across your merchant base. You can pull specific details for any file using `get_audit` to keep your internal logs synced. This setup lets your agent monitor progress while you handle high-level decisions. It keeps your workflow moving without requiring constant manual checks.

Generate data-backed proposals

Compare your findings against market averages by calling `get_industry_stats`. This gives your agent the context needed to prove why a specific proposal makes sense for the client. Finish the process by calling `get_proposal` to retrieve the final document details. Your agent then presents these numbers to the merchant with full confidence in the accuracy of the data.

Setup guide

Set up Fee Navigator 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 Fee Navigator tools at runtime.
3

Create your Agent

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

Run the agent

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

You initialize the connection using the MCPServerStreamableHttp class. Pass your endpoint URL to the constructor and include the server in your Agent definition. Your agent discovers all tools automatically, ready for your first request.

Yes. Since the tools are fully typed, your agent validates every response against your defined constraints before execution. This prevents bad data from hitting your production logic.

You can. By chaining `upload_statement` and `get_audit`, your agent builds a complete audit trail. It manages the lifecycle of each statement from upload to final report.

Vinkius manages the auth layer for you. You only need to provide your endpoint token, and the server handles the handshake. Your credentials never touch your local codebase.

This server only touches merchant statement PDFs and associated financial audit metadata. All data is scoped to your specific account, and the server does not store sensitive PII outside your requested sessions.

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