How to Use the Alegra MCP in OpenAI Agents SDK

Connect Alegra to your OpenAI Agents SDK production pipeline for direct control over invoicing and contact management.

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Connect Alegra MCP to OpenAI Agents SDK

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

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Automate Alegra invoicing in OpenAI Agents SDK

Stop manual data entry. Use `create_invoice` to generate sales records directly from your agent's decision logic, ensuring every transaction hits your books without human intervention. Your OpenAI Agents SDK pipeline handles the heavy lifting. The agent validates the invoice structure before calling the server, keeping your financial data clean and error-free.

Query Alegra data with OpenAI Agents SDK

Pull live inventory levels using `list_inventory_items`. Your agent can now make stock-aware decisions based on real-time numbers, not outdated spreadsheets. Need specific records? The `get_item_details` tool provides granular data. Your agent parses this output immediately to update customer quotes or check supply availability.

Manage Alegra contacts via OpenAI Agents SDK

Keep your CRM synced by using `create_contact` whenever a lead qualifies. Your agent pushes the data to your account instantly. Fetch existing contact profiles with `get_contact_details`. This lets your agent personalize outreach based on the history stored in your accounting system.

Setup guide

Set up Alegra 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 Alegra tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object with your endpoint. Pass that into your Agent constructor's list to let the SDK auto-discover the tools.

Yes, because the tools return structured data, the agent's internal guardrails can validate the output against your safety schemas before executing any financial changes.

Absolutely. You can implement error-handling logic within your agent's code to catch issues when a tool call like `create_invoice` fails.

Your financial records move over HTTPS with your provided token. The agent only accesses the specific methods you permit during the setup phase.

The server exposes contact, invoice, and inventory records. These sensitive financial strings are handled in memory and never stored by the transport layer.

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