How to Use the Banco Inter MCP in LlamaIndex

Index your Banco Inter financial history into searchable knowledge bases with LlamaIndex.

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Connect Banco Inter MCP to LlamaIndex

Create your Vinkius account to connect Banco Inter 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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Setup Banco Inter with LlamaIndex

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Index Banco Inter data for LlamaIndex

Turn your bank statements into a searchable vector index. You run `inter_get_statement` and allow LlamaIndex to ground its answers in your actual transaction history. Stop relying on guesses when you ask about your finances. The data retrieved from `inter_list_pix_billings` becomes a permanent part of your retrieval context.

Searchable banking logs in LlamaIndex

Query past account activity using natural language. LlamaIndex treats the output of `inter_get_boleto` as knowledge, letting you find specific payments from months ago. You avoid the mental overhead of parsing raw JSON dumps. The agent retrieves the relevant records and explains them in the context of your current question.

Grounded financial RAG with LlamaIndex

Build RAG applications that use live banking data. Your agent queries the account via `inter_get_balance` to ensure its answers match your current financial reality. This prevents the model from hallucinating about your available funds. Everything it says about your account is verified against the real-time API response.

Setup guide

Set up Banco Inter 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 Banco Inter 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 Banco Inter tools.",
)
response = await agent.run("List recent Banco Inter data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco Inter. 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 Banco Inter MCP in LlamaIndex

Use the MCP tool spec to wrap your connection. Once configured, you provide the tool list to your agent so it knows how to access your banking data.

It can index the results of your statement queries into a vector store. You then perform semantic searches across all your financial history.

Tool execution happens on demand during the retrieval phase. You can filter which tools are included to keep your index lean and fast.

The connection uses your specific endpoint token to interact with the API. This ensures only your authorized agent can fetch account details.

Your banking data stays within your local environment and the encrypted Vinkius pipe. We strictly isolate your financial records from any external indexing processes.

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