Salesbricks MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salesbricks as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Salesbricks. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Salesbricks?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Salesbricks tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Salesbricks MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Salesbricks
Why Use LlamaIndex with the Salesbricks MCP Server
LlamaIndex provides unique advantages when paired with Salesbricks through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Salesbricks tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Salesbricks tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Salesbricks, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Salesbricks tools were called, what data was returned, and how it influenced the final answer
Salesbricks + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Salesbricks MCP Server delivers measurable value.
Hybrid search: combine Salesbricks real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Salesbricks to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Salesbricks for fresh data
Analytical workflows: chain Salesbricks queries with LlamaIndex's data connectors to build multi-source analytical reports
Salesbricks MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Salesbricks to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Salesbricks to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSalesbricks + LlamaIndex FAQ
Common questions about integrating Salesbricks MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Salesbricks with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Salesbricks to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.