How do I find my Bleez Encrypted Folder Key?

Log in to your Bleez account, navigate to **Administration** > **Dossier** > **Paramétrages**, and copy the **Clé du dossier encryptée**.

Can I upload invoices for processing via AI?

Yes! The `upload_document` tool allows you to deposit PDF or image files directly into the Bleez automated processing queue programmatically.

Does it support French journal entries?

Absolutely. The `list_accounting_entries` and `create_accounting_entry` tools are designed for standard French accounting ledger orchestration.

INSTANT PLUG AND PLAY

Bleez MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Create Accounting Entry, Create Invoice, Get Account Info, and more

Name: Bleez
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bleez through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Bleez app connector for OpenAI Agents SDK is a standout in the Document Management category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Bleez Assistant",
            instructions=(
                "You help users interact with Bleez. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Bleez"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bleez MCP Server

Connect your Bleez account to any AI agent and take full control of your French accounting workflows and digital document management through natural conversation.

The OpenAI Agents SDK auto-discovers all 8 tools from Bleez through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Bleez, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Ledger Orchestration — List and manage accounting journal entries programmatically, retrieving detailed historical ledger data in real-time
Invoice Lifecycle Management — Create and track sales and purchase invoices programmatically to maintain a perfectly coordinated billing pipeline
Document Ingestion — Programmatically upload digital documents (PDF/Images) to the 'Factures à traiter' module for high-fidelity automated processing
Contact Discovery — Access complete directories of customer and supplier profiles to coordinate your organizational relationship ecosystem
Folder Visibility — Retrieve organization-level metadata and folder settings directly through your agent for instant financial reporting

The Bleez MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Bleez tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Bleez through Vinkius, your AI agent gets direct access to every tool listed below — spanning ledger-management, invoicing, accounting-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_accounting_entry

Provide date, label, and account lines. Create a new accounting entry

create_invoice

Provide contact ID and amount. Create a new invoice

get_account_info

Get current account settings

list_accounting_entries

List all accounting journal entries

list_customers

List all customers

list_invoices

List all invoices

list_suppliers

List all suppliers

upload_document

Upload a digital document for processing

Connect Bleez to OpenAI Agents SDK via MCP

Follow these steps to wire Bleez into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Bleez

Why Use OpenAI Agents SDK with the Bleez MCP Server

OpenAI Agents SDK provides unique advantages when paired with Bleez through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Bleez + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Bleez MCP Server delivers measurable value.

Automated workflows: build agents that query Bleez, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Bleez, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Bleez tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Bleez to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Bleez in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Bleez immediately.

"List all active customers in my Bleez folder."

"Upload the file 'invoice_123.pdf' to Bleez for processing."

"Show the last 5 accounting entries recorded this month."

Troubleshooting Bleez MCP Server with OpenAI Agents SDK

Common issues when connecting Bleez to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Bleez + OpenAI Agents SDK FAQ

Common questions about integrating Bleez MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.