2,500+ MCP servers ready to use
Vinkius

Bsale MCP Server for LlamaIndex 15 tools — connect in under 2 minutes

Built by Vinkius GDPR 15 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bsale as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
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 Bsale. "
            "You have 15 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Bsale?"
    )
    print(response)

asyncio.run(main())
Bsale
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 Bsale MCP Server

Connect your Bsale cloud POS account to any AI agent and take full control of your Chilean retail and invoicing operations through natural conversation.

LlamaIndex agents combine Bsale tool responses with indexed documents for comprehensive, grounded answers. Connect 15 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

  • Electronic Document Emission — Issue SII-compliant boletas, facturas electrónicas, credit notes, and dispatch guides directly through your AI agent
  • Product Catalog Management — Browse, search, and create products with full variant (SKU) support, pricing tiers, and web descriptions
  • Inventory & Stock Control — Check real-time stock levels across all office branches and track variant-level availability
  • Client Registry — Search, inspect, and register customers with RUT, business activity (giro), and contact details for tax compliance
  • Configuration Intelligence — Query your document types, payment methods, price lists, and office configurations instantly

The Bsale MCP Server exposes 15 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 Bsale to LlamaIndex via MCP

Follow these steps to integrate the Bsale MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 15 tools from Bsale

Why Use LlamaIndex with the Bsale MCP Server

LlamaIndex provides unique advantages when paired with Bsale through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Bsale tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Bsale tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Bsale, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Bsale tools were called, what data was returned, and how it influenced the final answer

Bsale + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Bsale MCP Server delivers measurable value.

01

Hybrid search: combine Bsale real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Bsale to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Bsale for fresh data

04

Analytical workflows: chain Bsale queries with LlamaIndex's data connectors to build multi-source analytical reports

Bsale MCP Tools for LlamaIndex (15)

These 15 tools become available when you connect Bsale to LlamaIndex via MCP:

01

create_client

The client can then be associated with future invoices and sales documents. For Chilean tax compliance, include the RUT and business activity (giro) when available. Register a new client in the system

02

create_document

Requires the document type ID and at minimum one line item with product details. The document is automatically sent to the Chilean SII (Servicio de Impuestos Internos) for validation. Issue a new electronic tax document

03

create_product

The product will be available for inclusion in future documents and can be associated with variants (SKUs), price lists, and stock management across multiple offices. Create a new product in the catalog

04

get_client

Get full details of a specific client

05

get_document

Get full details of a specific tax document

06

get_product

Get full details of a specific product

07

list_clients

Use limit and offset for pagination. List all registered clients

08

list_document_types

List available SII document types

09

list_documents

Documents are returned with their SII-compliant folio numbers, emission dates, and net/tax/total breakdowns. Use optional limit and offset parameters for pagination. List tax documents (invoices, boletas, credit notes)

10

list_offices

List all office branches and locations

11

list_payment_types

List accepted payment methods

12

list_price_lists

g., retail, wholesale, distributor). Each price list can have different pricing for the same product variants. List all configured price lists

13

list_products

Use limit and offset for paginated browsing of large catalogs. List all products and services in your catalog

14

list_stocks

Returns available quantities per location. Check stock levels across offices

15

list_variants

Each variant has its own barcode, cost, and pricing configuration across different price lists. List all SKU variants for a product

Example Prompts for Bsale in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Bsale immediately.

01

"Show me the last 10 invoices issued in my Bsale account."

02

"Check stock levels for all variants of product ID 1542."

03

"Register a new client 'Distribuidora Los Andes Ltda' with RUT 76.543.210-K."

Troubleshooting Bsale MCP Server with LlamaIndex

Common issues when connecting Bsale to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Bsale + LlamaIndex FAQ

Common questions about integrating Bsale MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Bsale tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Bsale to LlamaIndex

Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.