Airwallex MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Balance, Get Fx Rates, List Accounts, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Airwallex as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Airwallex app connector for LlamaIndex is a standout in the Money Moves category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Airwallex. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Airwallex?"
)
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 Airwallex MCP Server
Connect your Airwallex account to any AI agent and take full control of your global treasury, cross-border payments, and FX management through natural conversation.
LlamaIndex agents combine Airwallex tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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 Account Orchestration — List all your business accounts worldwide programmatically, retrieving detailed real-time balances and high-fidelity currency metadata
- Payment & Intent Tracking — Monitor recent payment intents and their high-fidelity status transitions to maintain a perfectly coordinated overview of your receivables
- Beneficiary Lifecycle Management — Access and manage your directory of global beneficiaries programmatically to streamline international transfers and compliance
- FX Intelligence & Quotes — Programmatically retrieve real-time foreign exchange quotes and market rates to optimize your currency conversions and cross-border movements
- Infrastructure Monitoring — Track internal transfers and account-level metadata directly through your agent for instant operational financial reporting
The Airwallex MCP Server exposes 6 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.
All 6 Airwallex tools available for LlamaIndex
When LlamaIndex connects to Airwallex through Vinkius, your AI agent gets direct access to every tool listed below — spanning airwallex, global-treasury-api, cross-border-payments, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get account balance
Get current FX quotes
List all accounts
List beneficiaries
List recent payments
List all transfers
Connect Airwallex to LlamaIndex via MCP
Follow these steps to wire Airwallex into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Airwallex MCP Server
LlamaIndex provides unique advantages when paired with Airwallex through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Airwallex tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Airwallex tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Airwallex, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Airwallex tools were called, what data was returned, and how it influenced the final answer
Airwallex + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Airwallex MCP Server delivers measurable value.
Hybrid search: combine Airwallex real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Airwallex 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 Airwallex for fresh data
Analytical workflows: chain Airwallex queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Airwallex in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Airwallex immediately.
"List all my Airwallex global accounts and their base currencies."
"Show the current FX rate for converting 10,000 USD to EUR."
"Show my recent payment intents and their statuses."
Troubleshooting Airwallex MCP Server with LlamaIndex
Common issues when connecting Airwallex to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAirwallex + LlamaIndex FAQ
Common questions about integrating Airwallex MCP Server with LlamaIndex.