How to Use the Fieldfolio MCP in OpenAI Agents SDK

Q: How do I connect the Fieldfolio MCP Server to my OpenAI Agents SDK project?

Install openai-agents via pip, then initialize the server using MCPServerStreamableHttp with your Vinkius URL. Pass this instance in the mcpservers list when creating your Agent. Enabling cacheToolsList=True keeps tool discovery fast and responsive.

Hook OpenAI Agents SDK to Fieldfolio to let your custom agents manage wholesale inventory and orders with built-in guardrails.

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Connect Fieldfolio MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fieldfolio 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 Fieldfolio with OpenAI Agents SDK

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Control stock levels with OpenAI Agents SDK

Stop letting your agents guess stock counts. This integration lets your OpenAI Agents SDK call `list_inventory` and `update_inventory` directly, meaning your custom agents can adjust wholesale quantities the second a warehouse update comes in. Because OpenAI handles tool calls natively, you just pass the Fieldfolio endpoint. The agent will read live data, verify the counts, and push changes without writing messy API sync scripts.

Automate wholesale order review pipelines

Put your specialized agents to work on order processing. By feeding `list_orders` and `get_order` to your OpenAI Agents SDK, you can build a multi-agent setup where one agent flags high-value orders and another prepares customer responses. This MCP Server exposes raw order payloads directly to your model's context window. Your agent can instantly inspect shipping details or buyer history, ensuring no wholesale order sits pending in your dashboard.

Search and query catalogs safely

Give your sales agents the ability to scan your entire wholesale line sheet. Using `search_catalog` and `list_products`, your OpenAI Agents SDK can instantly find matching items for retail buyers during live chat sessions by querying this MCP Server. OpenAI's built-in guardrails ensure the agent only queries what's active. It won't hallucinate pricing or offer out-of-stock items because it pulls raw facts straight from the live server.

Setup guide

Set up Fieldfolio 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 Fieldfolio tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Fieldfolio MCP in OpenAI Agents SDK

Install `openai-agents` via pip, then initialize the server using `MCPServerStreamableHttp` with your Vinkius URL. Pass this instance in the `mcp_servers` list when creating your Agent. Enabling `cacheToolsList=True` keeps tool discovery fast and responsive.

Yes, your agent can write back to your catalog. It uses the `update_inventory` tool to adjust stock numbers in real time, provided your Vinkius credentials have write permissions.

The SDK relies on your agent's built-in loop to handle retries. For high-volume operations like `list_products`, we recommend caching the tool list to avoid hitting Fieldfolio rate limits on redundant schema lookups.

Yes. You can control this by configuring your Vinkius credentials to only expose read-only tools like `list_inventory` or limit the agent's scope to specific endpoints like `get_product`.

Your order details and customer data stay inside the Vinkius secure V8 sandbox. The OpenAI Agents SDK only receives the specific payloads returned by tools like `get_order` over an encrypted stream, ensuring your retail buyers' contact info is never exposed to public training sets.

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