Finmo 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 Finmo 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 Finmo. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Finmo?"
)
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 Finmo MCP Server
Connect your Finmo account to any AI agent and automate your global treasury and payment operations through the Model Context Protocol (MCP). Finmo provides a unified platform for managing multi-currency liquidity, local collection methods, and cross-border disbursements, now accessible directly through natural conversation.
LlamaIndex agents combine Finmo 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
- Global Pay-ins — List available local collection methods across different countries and initiate pay-ins effortlessly.
- Simplified Payouts — Manage your disbursements globally by listing and initiating payouts to verified beneficiaries.
- Wallet Management — Get a real-time overview of your organization's wallets and balances across various currencies.
- Customer & Beneficiary Control — Maintain your database of customers and payout beneficiaries to ensure secure and accurate transactions.
- Real-time FX Rates — Fetch live foreign exchange quotes to make informed decisions on currency conversions and international transfers.
- Virtual Accounts — List and manage virtual accounts for streamlined reconciliation and local payment acceptance.
- Transaction Monitoring — Track the status of refunds and historical payments to keep your financial records in sync.
The Finmo 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 Finmo to LlamaIndex via MCP
Follow these steps to integrate the Finmo 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 Finmo
Why Use LlamaIndex with the Finmo MCP Server
LlamaIndex provides unique advantages when paired with Finmo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Finmo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Finmo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Finmo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Finmo tools were called, what data was returned, and how it influenced the final answer
Finmo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Finmo MCP Server delivers measurable value.
Hybrid search: combine Finmo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Finmo 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 Finmo for fresh data
Analytical workflows: chain Finmo queries with LlamaIndex's data connectors to build multi-source analytical reports
Finmo MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Finmo to LlamaIndex via MCP:
create_customer
Create a new customer
create_payin
Create a new pay-in
create_payout
Create a new payout
get_fx_rate
Get real-time FX rate
list_beneficiaries
List payout beneficiaries
list_customers
List customers
list_payin_methods
List pay-in methods
list_payins
List pay-ins
list_payouts
List payouts
list_refunds
List refunds
list_virtual_accounts
List virtual accounts
list_wallets
List organization wallets
Example Prompts for Finmo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Finmo immediately.
"What are the available pay-in methods for Singapore (SG) in SGD?"
"Show me the current balance of all my organization wallets."
"Get a live exchange rate to sell 1000 USD for EUR."
Troubleshooting Finmo MCP Server with LlamaIndex
Common issues when connecting Finmo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFinmo + LlamaIndex FAQ
Common questions about integrating Finmo 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 Finmo 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 Finmo to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
