How to Use the sevDesk MCP in OpenAI Agents SDK
Automate your financial accounting and CRM workflows with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect sevDesk MCP to OpenAI Agents SDK
Create your Vinkius account to connect sevDesk to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Manage Contacts for OpenAI Agents SDK
The `create_contact` tool lets your agent establish new records in sevDesk, whether they’re customers or suppliers. You can build out a complete contact profile and get it ready for sales or purchasing right away. You also use `get_contact` to pull up existing client data. This means your deployed OpenAI Agents SDK doesn't just write information; it checks what already exists before taking action.
Process Orders and Invoices with the MCP Server
When an order happens, your agent uses `get_order` to pull all the necessary details. This gives you the full picture of what was promised, including line items. Later on, if a client needs billing, the `get_invoice` tool retrieves everything needed for reconciliation—the invoice number, the total amount, and all associated taxes.
Inventory Management via sevDesk MCP Server
Need to know what parts you're selling? The agent calls `list_parts` to pull a full catalog of products. This isn't just names; it's the actual service or part details. If your team needs to verify specific stock, they can use `get_part` to grab all the data for one item instantly. It keeps everything clean and current.
Set up sevDesk 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 sevDesk tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives sevDesk tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate sevDesk 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="sevDesk Agent",
instructions="You have access to sevDesk 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 sevDesk API. 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 sevDesk MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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