Fintoc MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fintoc 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 Fintoc. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fintoc?"
)
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 Fintoc MCP Server
Connect your Fintoc account to any AI agent and automate your open banking and payment operations through the Model Context Protocol (MCP). Fintoc is the leading API for financial integration in Latin America (Chile and Mexico), allowing you to securely access real-time bank data and programmatically initiate transfers.
LlamaIndex agents combine Fintoc tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Bank Connectivity — List and manage your active bank links to maintain persistent access to financial data.
- Account Inspections — Fetch detailed information for all linked bank accounts, including available balances and holder details.
- Movement History — Retrieve transaction history (movements) for any account with powerful filtering options by date.
- Payment Initiation — Create and monitor payment intents to automate bank transfers directly through the agent.
- Subscription Tracking — List and manage active subscriptions to keep track of recurring payments.
- Institution Discovery — Discover supported banks and financial institutions across different countries (Chile and Mexico).
- Real-time Monitoring — Fetch specific movement details or payment intent statuses to keep your financial operations in sync.
The Fintoc MCP Server exposes 12 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 Fintoc to LlamaIndex via MCP
Follow these steps to integrate the Fintoc 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 12 tools from Fintoc
Why Use LlamaIndex with the Fintoc MCP Server
LlamaIndex provides unique advantages when paired with Fintoc through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fintoc tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fintoc tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fintoc, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fintoc tools were called, what data was returned, and how it influenced the final answer
Fintoc + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fintoc MCP Server delivers measurable value.
Hybrid search: combine Fintoc real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fintoc 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 Fintoc for fresh data
Analytical workflows: chain Fintoc queries with LlamaIndex's data connectors to build multi-source analytical reports
Fintoc MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fintoc to LlamaIndex via MCP:
create_payment_intent
Create a payment intent
get_account
Get account details
get_link
Get link details
get_movement
Get movement details
get_payment_intent
Get payment intent details
get_subscription
Get subscription details
list_accounts
List accounts for a link
list_institutions
List supported institutions
list_links
List all links
list_movements
List movements for an account
list_payment_intents
List payment intents
list_subscriptions
List subscriptions
Example Prompts for Fintoc in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Fintoc immediately.
"List all my bank accounts linked to Fintoc."
"Show me the last 5 transactions for account 'acc_9876'."
"Which banks are supported in Chile (cl)?"
Troubleshooting Fintoc MCP Server with LlamaIndex
Common issues when connecting Fintoc to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFintoc + LlamaIndex FAQ
Common questions about integrating Fintoc 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 Fintoc 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 Fintoc to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.