Can the AI forcefully complete, cancel, or permanently delete invoices natively in Salesbricks?

No. The integration ensures strict read and record functionalities largely scoped. Tools exist to list your active ledgers, check subscriptions, and securely create items. Hard deletions of generated financial objects are intrinsically abstracted to preserve data health seamlessly natively.

Does the `create_customer` feature directly start building and processing a payable cart?

The `create_customer` tool is explicitly isolated to constructing a metadata profile strictly in the Salesbricks directory to link future purchases manually. To initiate a true subscription pipeline dynamically to them, the specialized `create_subscription` method is typically handled passing precise product details independently.

What happens when I trigger the `record_usage` event through the AI interface chat organically?

Invoking `record_usage` accepts a simple JSON object constructed by the AI modeling your required data shape accurately. Salesbricks smoothly processes this metered data to bill users correctly based exactly efficiently organically natively purely precisely on the event consumed flawlessly in your infrastructure correctly nicely accurately cleanly completely elegantly automatically faithfully successfully.

Salesbricks MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Salesbricks
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Salesbricks Assistant",
            instructions=(
                "You help users interact with Salesbricks. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Salesbricks MCP Server

Connect your conversational assistant natively to Salesbricks, the fastest way to turn your SaaS products into purchasable assets with its simple quote-to-cash B2B checkout platform. Seamlessly instruct your AI to orchestrate customer billing, manage monthly subscriptions, and track usage data instantly via conversational prompts.

The OpenAI Agents SDK auto-discovers all 10 tools from Salesbricks through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Salesbricks, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Client Administration — Easily search for your enterprise users or create brand new B2B customer accounts directly from chat (list_customers, create_customer). You can also retrieve their robust global profile covering active subscriptions and payments (get_customer).
Usage and Events Tracking — Securely log system usage events natively utilizing the (record_usage) tool to feed Salesbricks accurate billing intelligence.
Subscriptions and Invoices — Audit your entire library of commercial software subscriptions and cross-reference them with actual active clients globally (list_subscriptions). Fetch and inspect comprehensive revenue ledgers outlining successfully delivered invoices effortlessly (list_invoices).
Product Offerings — View your complete list of monetized products securely (list_products).

The Salesbricks MCP Server exposes 10 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.

How to Connect Salesbricks to OpenAI Agents SDK via MCP

Follow these steps to integrate the Salesbricks MCP Server with OpenAI Agents SDK.

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 10 tools from Salesbricks

Why Use OpenAI Agents SDK with the Salesbricks MCP Server

OpenAI Agents SDK provides unique advantages when paired with Salesbricks 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

Salesbricks + OpenAI Agents SDK Use Cases

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

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

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

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

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

Salesbricks MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Salesbricks to OpenAI Agents SDK via MCP:

create_customer

Specify company name and email. Creates a new customer in Salesbricks

create_subscription

Provide a JSON object with customerId and plan details. Creates a new subscription for a customer

delete_customer

This action is irreversible. Deletes a customer from Salesbricks

get_customer

Retrieves details for a specific customer

list_customers

Lists all customers in the Salesbricks account

list_invoices

Lists all generated invoices

list_products

Lists all available product plans

list_subscriptions

Lists all active and historical subscriptions

record_usage

Provide a JSON object with event details. Records a usage event for a customer

update_customer

Updates an existing customer's name

Example Prompts for Salesbricks in OpenAI Agents SDK

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

"Add 'Acme Corp' as a customer with the email 'billing@acme.example.com'."

"List all active subscriptions for the product plan named 'Enterprise'."

"Show the recent generated invoices to see if there are any unpaid ones."

Troubleshooting Salesbricks MCP Server with OpenAI Agents SDK

Common issues when connecting Salesbricks 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.

Salesbricks + OpenAI Agents SDK FAQ

Common questions about integrating Salesbricks 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.