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Wise MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wise through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wise": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wise, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Wise
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Wise MCP Server

Connect your Wise Business account to your AI agent and manage international payments and multi-currency operations conversationally.

LangChain's ecosystem of 500+ components combines seamlessly with Wise through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Multi-Currency Balances — Check real-time balances across all your currency accounts (USD, EUR, GBP, and 50+ currencies) instantly.
  • Transfer Tracking — Monitor the status of outgoing transfers, view estimated delivery dates, and check exchange rates applied.
  • Recipient Management — List, search, and manage your payment recipients across countries and currencies.
  • Exchange Rates — Get live exchange rates and compare costs before initiating transfers.

The Wise MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Wise to LangChain via MCP

Follow these steps to integrate the Wise MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Wise via MCP

Why Use LangChain with the Wise MCP Server

LangChain provides unique advantages when paired with Wise through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Wise MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Wise queries for multi-turn workflows

Wise + LangChain Use Cases

Practical scenarios where LangChain combined with the Wise MCP Server delivers measurable value.

01

RAG with live data: combine Wise tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Wise, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Wise tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Wise tool call, measure latency, and optimize your agent's performance

Wise MCP Tools for LangChain (10)

These 10 tools become available when you connect Wise to LangChain via MCP:

01

create_quote

Create a transfer quote

02

get_balance

Get specific balance details

03

get_currencies

List supported currencies

04

get_exchange_rate

Get live exchange rate

05

get_transfer

Get transfer details

06

list_balances

List multi-currency balances

07

list_profiles

List Wise business profiles

08

list_recipients

List payment recipients

09

list_statements

List account statements

10

list_transfers

List all transfers

Example Prompts for Wise in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Wise immediately.

01

"What are my current balances across all currencies?"

02

"Get me a quote to send €10,000 from my EUR balance to a USD account."

03

"Track the status of my recent transfer to our London office."

Troubleshooting Wise MCP Server with LangChain

Common issues when connecting Wise to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wise + LangChain FAQ

Common questions about integrating Wise MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Wise to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.