How do I encode my Cora `.pem` certificates properly?

Head to Cora Bank's portal and setup an API App yielding you exactly the Client Credentials and a certificate pairing (Public CERT `.pem`/`.crt` and Private `.key`). Go to a UNIX shell / MacOS Terminal: `base64 -i my_key.key` to get the key text, and `base64 -i my_cert.pem` to get the cert text. The unformatted, unbroken blocks are the credentials you paste directly to us.

Does Cora produce a separate Pix link from its Boleto command?

In Cora's domain, executing `cora_create_invoice` natively packages everything. A single entity 'Invoice' acts as both your printable boleto format AND a highly specific Dynamic QR Pix, ensuring multiple avenues for your clients.

Will an outgoing Pix from my chat be instant?

Absolutely. Emitting an explicit request down the `cora_send_pix` route connects instantaneously down Cora's active routing engine (Sistema de Pagamentos Instantâneos - SPI/Bacen) draining specific liquidity.

Can I cancel unpaid user invoices rapidly from MCP?

Of course! Call upon the unneeded identifier within your chat interface, prompting the logic `cora_cancel_invoice`, pulling the document from global banking registration.

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

Name: Cora Bank
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Cora Bank. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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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 Cora Bank MCP Server

The Cora Bank MCP Server attaches your corporate entity directly to your AI programming or conversational agent via officially supported backend APIs.

LlamaIndex agents combine Cora Bank 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.

What you can do

Invoicing Power — Utilize native cora_create_invoice to print a highly detailed digital invoice that simultaneously displays a standard Brazilian Boleto barcode and a Pix QR code for max conversion mapping.
Payment Outs — Fire cora_send_pix securely via text interactions without opening separate mobile applications to clear out daily vendor tabs.
Status Overviews — Keep track of unread metrics through statements queries, canceling generated invoices smoothly.

The Cora Bank 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 Cora Bank to LlamaIndex via MCP

Follow these steps to integrate the Cora Bank MCP Server with LlamaIndex.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 8 tools from Cora Bank

Why Use LlamaIndex with the Cora Bank MCP Server

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

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

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

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

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

Cora Bank + LlamaIndex Use Cases

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

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

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

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

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

Cora Bank MCP Tools for LlamaIndex (8)

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

cora_cancel_invoice

Cancela uma cobrança (Invoice) pendente do Banco Cora

cora_create_invoice

Criar uma Cobrança Oficial (Boleto bancário + QR Code Pix) (Cora Bank)

cora_get_balance

Traz todos os recursos atuais parados ou pendentes no Cora Bank. Consulta de recursos retidos totais (Balanço / Saldo)

cora_get_invoice

Consultar os dados ou status detalhado de uma Fatura/Cobrança

cora_get_statement

Extração de histórico contábil, recebimentos e extrato de cashflow

cora_list_invoices

Lista em massa faturas/boletos e verifica seus resultados

cora_list_payments

Consultar um array contendo os retiros efetuados da sua base ou conta

cora_send_pix

Efetuar envio de TED ou Pix pagando Fornecedor ou Cliente

Example Prompts for Cora Bank in LlamaIndex

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

"Draw up a Cora Invoice for client Gabriel (CPF 908129841). Bill them exactly R$ 150 BRL for the 'Graphic Design Package' with due date at the end of next month."

"Fetch the final Cora Account statement focusing from 2024-04-01 until 2024-04-06 to ensure we captured all vendor payouts."

"Cancel the Cora pending invoice reference 'INV_17009401' completely. We negotiated an upfront cash structure."

Troubleshooting Cora Bank MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cora Bank + LlamaIndex FAQ

Common questions about integrating Cora Bank MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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