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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Holded MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Holded tools as native definitions — JSON schemas resolve automatically. - 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.
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.
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Common questions about Holded MCP in OpenAI Agents SDK
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