Konfío MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Konfío as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Konfío. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Konfío?"
)
print(response)
asyncio.run(main())
* 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 Konfío MCP Server
Connect your Konfío business account to any AI agent and manage Mexico's leading SMB financial suite through natural conversation. Whether you need to pay a loan, check credit limits, or emit electronic invoices (CFDIs), the AI handles the heavy lifting.
LlamaIndex agents combine Konfío tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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
- Loan Management — Track active business loans, get amortization schedules, and make direct loan payments from your connected accounts
- Credit Cards — Review corporate credit card spending, check available limits, and fetch monthly statements for reconciliation
- Electronic Invoicing (CFDI 4.0) — List emitted and received SAT invoices, and generate new legally compliant invoices with automatic stamp generation
- B2B Transfers — Create SPEI transfers to suppliers and employees directly from your Konfío account
- Credit Line Monitoring — Check your business credit score status and apply for new working capital credit lines
The Konfío MCP Server exposes 14 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 Konfío to LlamaIndex via MCP
Follow these steps to integrate the Konfío 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 14 tools from Konfío
Why Use LlamaIndex with the Konfío MCP Server
LlamaIndex provides unique advantages when paired with Konfío through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Konfío tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Konfío tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Konfío, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Konfío tools were called, what data was returned, and how it influenced the final answer
Konfío + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Konfío MCP Server delivers measurable value.
Hybrid search: combine Konfío real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Konfío 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 Konfío for fresh data
Analytical workflows: chain Konfío queries with LlamaIndex's data connectors to build multi-source analytical reports
Konfío MCP Tools for LlamaIndex (14)
These 14 tools become available when you connect Konfío to LlamaIndex via MCP:
check_credit_status
Check business credit rating and eligibility status
create_invoice
0 invoice for a client. Requires client RFC, tax regime, items, and CFDI usage code. Create and emit a new electronic invoice (CFDI)
create_transfer
Create a supplier B2B transfer (SPEI)
get_business_profile
Get Konfío business profile
get_cc_statement
Get a credit card monthly statement
get_credit_card
Get business credit card details
get_loan_details
Get details of a specific business loan
get_payment_schedule
Get the amortization schedule for a loan
list_cc_transactions
List credit card transactions
list_invoices
You can filter by issued (emitted) or received invoices. List electronic invoices (CFDIs)
list_loans
List active and past business loans
list_transfers
List B2B outgoing wire transfers
make_loan_payment
Make a payment towards a business loan
request_credit_line
Submit a new credit line request
Example Prompts for Konfío in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Konfío immediately.
"Show me my latest business credit card transactions."
"List the last 5 invoices we emitted to clients."
"Make a loan payment of $12,000 for loan LOAN-442."
Troubleshooting Konfío MCP Server with LlamaIndex
Common issues when connecting Konfío to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKonfío + LlamaIndex FAQ
Common questions about integrating Konfío MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Konfío with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Konfío to LlamaIndex
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.