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 Google ADK 10 tools — connect in under 2 minutes

Name: Salesbricks
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Salesbricks as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="salesbricks_agent",
    instruction=(
        "You help users interact with Salesbricks "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

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.

Google ADK natively supports Salesbricks as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Salesbricks MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Salesbricks via MCP

Why Use Google ADK with the Salesbricks MCP Server

Google ADK provides unique advantages when paired with Salesbricks through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Salesbricks

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Salesbricks tools with BigQuery, Vertex AI, and Cloud Functions

Salesbricks + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Salesbricks MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Salesbricks and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Salesbricks tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Salesbricks regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Salesbricks

Salesbricks MCP Tools for Google ADK (10)

These 10 tools become available when you connect Salesbricks to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Salesbricks to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Salesbricks + Google ADK FAQ

Common questions about integrating Salesbricks MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.