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How to Use the Holded MCP in OpenAI Agents SDK

Connect Holded to your OpenAI Agents SDK pipeline to automate billing and inventory updates with built-in execution guardrails.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Holded MCP to OpenAI Agents SDK

Create your Vinkius account to connect Holded 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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Audit billing with OpenAI Agents SDK

The `list_invoices` and `get_invoice_details` tools pull your billing records directly into your OpenAI agent's context window. You can build a specialized finance agent that checks incoming payments against open accounts without writing custom API wrappers. Because this framework emphasizes production safety, you can enforce strict handoffs. If an agent detects an unpaid invoice, it passes the data to a collections agent that pulls `get_contact_details` to draft a follow-up email. Every API call to this MCP Server gets logged in your OpenAI dashboard.

Update inventory counts safely

Executing `update_product_stock` modifies your actual Holded warehouse quantities. Your agent reads the current state with `get_product_details`, calculates the difference, and pushes the new count via a JSON payload. Write operations require caution in production environments. You can configure your OpenAI agent to require human approval before it hits the endpoint. Once approved, the agent updates the stock and verifies the change immediately.

Track project status automatically

Using `list_projects` and `list_all_tasks`, your agent maps out every active deliverable in your Holded account. You get a complete view of who is doing what across the company. Pass the MCP server to your agent constructor using `MCPServerStreamableHttp`. Set `cacheToolsList=True` to speed up initialization. The agent auto-discovers these task tools and can generate daily status reports based on real project data.

Setup guide

Set up Holded 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. 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. 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 Holded tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Holded. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Holded MCP in OpenAI Agents SDK

Install the `openai-agents` package. Pass the Vinkius endpoint to `MCPServerStreamableHttp`, then hand that to your agent constructor. The agent will auto-discover all 11 tools.
Yes. The `update_product_stock` tool accepts a warehouse ID and a new quantity. We recommend adding an approval guardrail before your agent executes this write operation.
Every call your agent makes to `get_invoice_details` or `list_contacts` appears in your trace logs. You see exactly what the MCP Server returned and how the agent reacted.
Your agent runs `list_contacts` to search your CRM database. It grabs the correct contact ID from the response and feeds it into document creation or search tools.
Vinkius runs this server in an isolated V8 sandbox. When your agent fetches raw invoice line items or billing addresses, the data passes through a zero-trust, ephemeral environment. Nothing persists after the request finishes.

Start using the Holded MCP today

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Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Holded. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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