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Asaas MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Asaas 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 Asaas. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
Asaas
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* 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 Asaas MCP Server

The Asaas MCP Server provides a powerful natural language interface to your Asaas digital account. Specifically designed for Brazilian businesses, this integration allows your AI agent to manage your entire billing cycle, from customer registration to payment collection and financial transfers.

LlamaIndex agents combine Asaas tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

Key Features

  • Billing Management — Create and list payments via Boleto, Credit Card, and PIX with automated status tracking.
  • Customer Inventory — Manage your customer base, including CPF/CNPJ verification and contact details synchronization.
  • Subscription Automation — Monitor active recurring billings and subscription statuses for your clients.
  • Financial Oversight — Check your account balance and track transfers in real-time.
  • Workflow Integration — Seamlessly connect your payment operations with your AI-assisted support and sales processes.
  • Secure API Access — Uses the Asaas access_token for authenticated communication and supports sandbox mode for safe testing.

The Asaas MCP Server exposes 8 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 Asaas to LlamaIndex via MCP

Follow these steps to integrate the Asaas 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 8 tools from Asaas

Why Use LlamaIndex with the Asaas MCP Server

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

01

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

02

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

03

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

04

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

Asaas + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Asaas 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 Asaas for fresh data

04

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

Asaas MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Asaas to LlamaIndex via MCP:

01

create_customer

Register a new customer in Asaas

02

create_payment

Create a new payment (charge) for a customer

03

get_account_check

Verify Asaas account connection

04

get_balance

Get current financial balance in Asaas

05

list_customers

List all registered customers in Asaas

06

list_payments

List all payments (charges)

07

list_subscriptions

List all active subscriptions

08

list_transfers

List all financial transfers

Example Prompts for Asaas in LlamaIndex

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

01

"Show me my current Asaas balance."

02

"List the last 5 payments received."

03

"Create a PIX charge of R$ 100 for customer 'cus_12345' due tomorrow."

Troubleshooting Asaas MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Asaas + LlamaIndex FAQ

Common questions about integrating Asaas 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 Asaas 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 Asaas to LlamaIndex

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.