How to Use the Asaas MCP in LlamaIndex

Q: How do I load the Asaas MCP Server into a LlamaIndex agent?

Install llama-index-tools-mcp and initialize the BasicMCPClient with your Vinkius URL. Convert the client to tools using totoollistasync() and pass them to your FunctionAgent.

Q: Can LlamaIndex search through old Asaas transaction records?

Yes, by indexing the output of listpayments into a vector store. This allows your agent to perform semantic search over your entire Brazilian payment history.

Q: Can I filter which MCP tools my LlamaIndex agent can access?

Yes, you use the allowedtools filter when initializing your MCP tool spec. This ensures your agent can only read data, preventing accidental calls to write tools.

Index your Brazilian customer payments and subscriptions directly into LlamaIndex vector stores using this MCP Server.

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Connect Asaas MCP to LlamaIndex

Create your Vinkius account to connect Asaas to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index Brazilian financial histories into LlamaIndex

The `list_payments` tool extracts your historical transaction records so LlamaIndex can parse and index them into your local vector database. This lets your agent answer complex natural language queries about past charges without making slow, repetitive API calls. By converting transaction lists into searchable nodes, your agent retrieves exact payment dates and amounts. You get grounded answers based on actual Brazilian banking records rather than speculative model completions.

Build a queryable Brazilian customer directory

The `list_customers` tool retrieves your complete Brazilian client roster to build a semantic index of your customer base. Your agent queries this index to find specific customer IDs or verify registration details instantly. When you need to update a profile, the agent uses the retrieved ID with `create_customer` to modify the record. This keeps your LlamaIndex knowledge base completely aligned with your actual Asaas production data.

Monitor subscription trends with RAG pipelines

The `list_subscriptions` tool pulls recurring billing structures directly into your LlamaIndex document store for financial trend analysis. Your agent runs semantic searches over these documents to identify active, paused, or failing subscriptions. The agent cross-references these subscriptions with `list_transfers` to verify that funds are landing in your account. You get a clear picture of cash flow, completely grounded in live Brazilian financial data.

Setup guide

Set up Asaas MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Asaas MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Asaas tools.",
)
response = await agent.run("List recent Asaas data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Asaas. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Asaas MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` with your Vinkius URL. Convert the client to tools using `to_tool_list_async()` and pass them to your `FunctionAgent`.

Yes, by indexing the output of `list_payments` into a vector store. This allows your agent to perform semantic search over your entire Brazilian payment history.

You configure rate-limiting middleware in your LlamaIndex pipeline to throttle calls to tools like `list_customers`. This keeps your agent from hitting API limits during heavy indexing tasks.

Yes, you use the `allowed_tools` filter when initializing your MCP tool spec. This ensures your agent can only read data, preventing accidental calls to write tools.

Data retrieved via the MCP Server is processed in memory and indexed into your local vector store. Vinkius operates a zero-trust architecture, ensuring your financial payloads remain encrypted in transit.

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