How to Use the Bleez MCP in OpenAI Agents SDK
Connect Bleez to your OpenAI Agents SDK production pipeline to automate Brazilian accounting and invoice generation tasks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bleez MCP to OpenAI Agents SDK
Create your Vinkius account to connect Bleez 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.
Automate financial records in OpenAI Agents SDK
Your agent can trigger `create_accounting_entry` directly from your Python code, injecting journal data into your Brazilian e-commerce system. This removes manual data entry while keeping your ledger accurate. By using `list_accounting_entries`, the agent pulls past records to verify balances before adding new ones. It handles the record-keeping logic within your protected agent environment.
Manage customer billing via OpenAI Agents SDK
Directly execute `create_invoice` using contact IDs from your internal database. Your agent generates professional invoices without leaving the OpenAI Agents SDK flow. Use `list_customers` to find the right recipient before you initiate the billing process. This keeps your client data and invoice history perfectly synced.
Handle digital documents in OpenAI Agents SDK
Send files to your local market platform using `upload_document`. The agent manages the entire transfer, ensuring your e-commerce records stay updated with the latest receipts or contracts. Check your current status using `get_account_info` to confirm the connection is active. Your agent maintains visibility over the entire document lifecycle.
Set up Bleez 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 Bleez tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Bleez tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Bleez 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="Bleez Agent",
instructions="You have access to Bleez 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 Bleez. 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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Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Bleez MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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