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Open Finance Brasil MCP Server for LlamaIndex 7 tools — connect in under 2 minutes

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Open Finance Brasil 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 Open Finance Brasil. "
            "You have 7 tools available."
        ),
    )

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

asyncio.run(main())
Open Finance Brasil
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 Open Finance Brasil MCP Server

Connect Open Finance Brasil to any AI agent via MCP.

How to Connect Open Finance Brasil to LlamaIndex via MCP

Follow these steps to integrate the Open Finance Brasil 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 7 tools from Open Finance Brasil

Why Use LlamaIndex with the Open Finance Brasil MCP Server

LlamaIndex provides unique advantages when paired with Open Finance Brasil through the Model Context Protocol.

01

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

02

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

03

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

04

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

Open Finance Brasil + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Open Finance Brasil MCP Server delivers measurable value.

01

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

02

Data enrichment: query Open Finance Brasil 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 Open Finance Brasil for fresh data

04

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

Open Finance Brasil MCP Tools for LlamaIndex (7)

These 7 tools become available when you connect Open Finance Brasil to LlamaIndex via MCP:

01

get_accounts

Returns account type, agency, number, and available balance. Get list of payment accounts and their balances

02

get_credit_card_bills

Needs a Credit Card Account ID. Get credit card bills for a specific card account

03

get_credit_cards

Returns brand, limits (total, available, used). Get credit card accounts and their limits

04

get_customer_data

Returns basic identification info. Get personal data of the customer (Name, CPF, Address)

05

get_financing

Returns loans, vehicle financing, real estate. Get financing and loan contracts

06

get_investments

Returns treasury, funds, CDBs, etc. Get investment portfolio

07

get_transactions

Needs an Account ID from get_accounts. Get transaction history for a specific account

Troubleshooting Open Finance Brasil MCP Server with LlamaIndex

Common issues when connecting Open Finance Brasil to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Open Finance Brasil + LlamaIndex FAQ

Common questions about integrating Open Finance Brasil 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 Open Finance Brasil 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 Open Finance Brasil to LlamaIndex

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.