How do I get my Wise API token?

You need a **Wise Business account** with 2-Step Verification enabled. Log in at **wise.com**, click your profile icon in the top right corner, then go to **Settings → API tokens → Add new token**. Name your token, complete the 2-Step Verification, and copy it immediately — it is only shown once. Paste it into the configuration below. Note: this feature is only available on the web — not the mobile app.

Can I check how much a transfer will cost before sending money?

Yes. Ask your AI agent to get a quote for any currency pair and amount. It returns the live exchange rate, Wise's fee, the estimated delivery time, and the exact amount the recipient will receive — so you can make informed decisions before committing to a transfer.

What if I need to track a transfer that seems delayed?

Just ask your AI agent 'What's the status of my last transfer?' It returns the current processing stage, estimated delivery date, exchange rate used, and any holds or compliance reviews in progress — all without opening Wise in a browser or switching contexts.

Is this suitable for companies operating in multiple currencies?

Absolutely. Wise supports 50+ currencies, and your AI agent can check balances in all of them simultaneously. Perfect for global e-commerce businesses, international agencies, remote-first companies paying contractors worldwide, and treasury teams managing FX exposure across multiple regions.

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

Name: Wise
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Wise through Vinkius, pass the Edge URL in the `mcps` parameter and every Wise tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wise Specialist",
    goal="Help users interact with Wise effectively",
    backstory=(
        "You are an expert at leveraging Wise tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Wise "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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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.

When paired with CrewAI, Wise becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Wise tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Wise

Why Use CrewAI with the Wise MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Wise through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Wise + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Wise for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Wise, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Wise tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Wise against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Wise MCP Tools for CrewAI (10)

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

create_quote

Create a transfer quote

get_balance

Get specific balance details

get_currencies

List supported currencies

get_exchange_rate

Get live exchange rate

get_transfer

Get transfer details

list_balances

List multi-currency balances

list_profiles

List Wise business profiles

list_recipients

List payment recipients

list_statements

List account statements

list_transfers

List all transfers

Example Prompts for Wise in CrewAI

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

"What are my current balances across all currencies?"

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

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

Troubleshooting Wise MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Wise + CrewAI FAQ

Common questions about integrating Wise MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.