AgentsPay

Explainer

Airwallex MCP Server and Airwallex Developer MCP With Airwallex API Spend Controls for AI Agents

Airwallex now ships AgentOS, a production MCP server, a CLI and a set of agent skills that let Claude, Cursor or Codex work directly on your Airwallex account. Before a finance team connects one, someone has to answer the question every controller asks in the review: what can this agent actually spend, and who decides the limit? We read the OAuth metadata of both Airwallex MCP servers and the card control documentation to find out.

Agent Payments Console

Pick an agent

Payment intent

intent: ▌

Policy evaluation

Human approval required

This spend is over your approval threshold. Approve it to issue a scoped card, or deny it.

Scoped virtual card issued

AgentsPay

single-use

Wallet budget

spent of

Audit trail

In short

The Airwallex MCP server is the production connector of Airwallex AgentOS, hosted at https://mcp.airwallex.com/mcp with OAuth sign-in. Its OAuth metadata publishes 35 scopes, 12 of them write scopes, and no scope for transfers, FX conversions or payouts, so money cannot leave the account through it. It can, however, create cardholders and issue cards with spend limits the agent itself chooses. Airwallex card controls are strong per card, but nothing ties those cards to one budget per agent.

What the Airwallex MCP server and AgentOS do today

Airwallex AgentOS is, in Airwallex's words, "a production-grade toolkit for AI agents to operate on your Airwallex account." It bundles three things. The connectors are the Airwallex CLI, which works against sandbox and production, and the Airwallex AgentOS MCP server at https://mcp.airwallex.com/mcp, which connects chat agents to your production account. The skills are pre-built workflows, in beta. The plugins install both into Claude Code, Claude Cowork, Cursor and Codex in one step.

Setup is short. In Claude Code it is claude mcp add-json airwallex '{ "type": "http", "url": "https://mcp.airwallex.com/mcp" }', followed by an OAuth sign-in to your production account. In Claude.ai and Claude Cowork you pick the official airwallex-agentos connector under Settings and Connectors. Cursor has a one-click install, and any MCP client can point at the same URL.

The five published skills show what Airwallex expects agents to do: contract-to-billing (read a PO or contract, then create invoices and subscriptions), beneficiary-creation (extract supplier bank details from documents and create beneficiaries), card-provisioning (create cardholders and issue virtual or physical corporate cards with spend limits), manage-cashflow (balances, receivables, FX exposure and indicative quotes) and awx-best-practices, an always-on guardrail. For a US finance team that pays suppliers abroad and runs corporate cards on Airwallex, that is a genuinely useful set.

There is a second, separate product. The Airwallex Developer MCP at https://mcp-demo.airwallex.com/developer and the docs-only server at /docs are built for engineers integrating Airwallex. They search documentation and act on the sandbox, never on production, and they also ship as the npm package @airwallex/developer-mcp.

Finance lead at a shared desk reviewing a pending account request on a laptop with a phone in hand

How we probed Airwallex, with a control for every check

We did not rely on the announcement. On 21 October 2026 we read what Airwallex publishes without a login and paired each check with a control that should have produced the opposite result:

  • The production host. GET /mcp returned 405, which is correct for a Streamable HTTP endpoint that only takes POST. A JSON-RPC initialize sent by POST without a token returned 401 with WWW-Authenticate: Bearer resource_metadata="https://mcp.airwallex.com/.well-known/oauth-protected-resource/mcp/". The root and a randomly generated path both returned 404, so the host is not a catch-all.
  • The production OAuth metadata. The protected-resource document lists 35 scopes. The authorization-server document publishes authorize, token and registration endpoints, the authorization code and refresh token grants, PKCE with S256 only, client authentication methods including none, and support for client ID metadata documents. Any MCP client can register itself.
  • The sandbox Developer MCP. The same check on mcp-demo.airwallex.com/developer returned 405 on GET, a scope document with 47 scopes, and 404 on a random path.
  • The documentation. Airwallex's llms.txt indexes about 300 documentation pages. We read the AgentOS, Developer connector, CLI, authorization controls and transaction limits pages in Markdown, as published.

We did not sign in, so we cannot list the exact tools the production server exposes after authentication. Scopes are the stronger evidence anyway: a tool can only do what its token is allowed to do, and the scope list is what anyone can re-check with two requests.

No money-out scope on the production server

This is the part Airwallex got right, and it deserves to be said plainly. Airwallex documents that AgentOS components "do not initiate money-out actions (transfers, FX conversions, or payouts) on your behalf." That kind of promise is usually enforced only by instructions to the model, which a prompt injection can talk around. Here it is also visible in the authorization layer.

Of the 35 production scopes, 23 are reads and 12 are writes. The reads cover balances, contacts, conversions, global accounts, cardholders, cards, card transactions, payment acceptance, payment links, account details, transfers, billing objects, expenses, bills and vendors. The writes are listed in the table below. What matters is what is missing: the production server publishes r:awx_action:transfers_view but no transfer write scope, conversions_view but no conversion write scope, and no scope to create deposits or edit linked accounts. A token issued by this server cannot send a wire, whatever the model is told.

The sandbox server shows what the full set looks like. Its 47 scopes include 20 writes, among them w:awx_action:transfers_edit, w:awx_action:conversions_edit, w:awx_action:pa_edit, w:awx_action:deposits_create, w:awx_action:linked_accounts_edit and w:org_action:billing.checkout_edit. Airwallex withheld exactly the money-moving ones from production. That is a deliberate design choice, and a good one.

The CLI is different. Airwallex calls it the connector with the broadest API coverage, it reaches production with --prod, and the docs say that where the underlying API supports money-out, the components are "explicitly instructed not to execute them." Write actions ask for confirmation in interactive mode, unless the caller passes --confirm. So on the CLI, the money-out guardrail is an instruction and a confirmation prompt, not a missing permission. If an agent runs in a terminal with a broadly scoped login, narrow it with airwallex auth login --prod --scope=....

The agent that spends can issue its own cards

Money cannot leave through a transfer, but it can leave through a card. The production server holds w:awx_action:issuing_cardholders_edit and w:awx_action:issuing_cards_edit, and Airwallex's own card-provisioning skill runs on it to "create cardholders and provision virtual or physical corporate cards with spend limits." So an agent connected through AgentOS can create a cardholder, issue a virtual card and choose the limit on that card in the same session.

Airwallex card limits are among the best we have measured. Every card must carry transaction limits, which can be set per transaction, daily, weekly, monthly, quarterly, yearly or for all time. You can restrict merchant category codes, currencies, an active date range and transaction types such as online, contactless or ATM, and you can route each authorization to your own endpoint with remote authorization. The account also has a default and a maximum per-transaction limit per currency, and a card request above the maximum is rejected. Those account values are commercial settings that only your Airwallex account manager can change.

The question for an agent rollout is who sets the card limit. If the agent issues the card, the agent picks the limit, anywhere up to the account maximum. If it leaves the merchant category list empty, Airwallex allows every category. And each limit belongs to one card, so an agent that issues five cards has five separate ceilings and no total. Airwallex's docs do tell you to require manual approval for write tools, since the server annotates them, but that prompt lives in your MCP client, and only helps if nobody turned on auto-approve.

Engineer holding a plain unbranded card beside a laptop while setting a card limit

Invoices, prices and discounts are writable too

Seven of the twelve production write scopes are on the billing side: customers, discounts, invoices, prices, products, subscriptions and usage metering. That is what the contract-to-billing skill needs, and it is useful: an agent reads a signed order form and sets up the subscription without retyping.

It also means an agent can change what customers pay. A discount scope on a token that reads untrusted documents is a revenue control, not a convenience. Payment links are writable as well, through w:awx_action:payment_links_edit. None of this sends money out of your account, but each one changes money that should come in, and none of it is limited by amount in the scope itself.

The fix is the same one Airwallex recommends: grant only the scopes your use case needs. A cash-reporting agent needs reads. A billing agent needs the billing writes and nothing on issuing. A card agent should be the only one with issuing scopes, and its limits should come from a policy you set rather than from its own judgment.

What Airwallex says about prompt injection and shared agents

Airwallex's safety section is unusually direct, and two warnings in it are worth quoting to anyone in your security review. On shared channels, connecting AgentOS MCP "authorizes the agent platform to act on your account within those scopes," so do not add that agent to multi-user channels such as Slack, because "anyone who can prompt the agent may perform Airwallex actions with your privileges that they cannot perform in the web or mobile apps."

On injection, Airwallex tells you to treat untrusted documents and web pages as a risk and to review every tool call, "including reads that could exfiltrate account data." That matters because the flagship skills read exactly that kind of input: supplier documents for beneficiaries, contracts for billing.

The advice is sound. Its weakness is that every control in it is a habit: review each call, keep auto-approve off, scope narrowly, confirm in the web app afterwards. Habits hold for a pilot run by one careful person. They do not hold when several agents run on schedules overnight, which is where a written policy outside the agent has to take over.

What a finance lead adds before an agent touches Airwallex

None of this argues for keeping AI away from Airwallex. It argues for deciding where the limits live before the first card is issued. Before an agent writes to Airwallex, we would put these in place:

  1. Use the AgentOS MCP rather than a broad CLI login for any agent that does not need to move money. The missing money-out scopes are a real protection, so keep them.
  2. Split agents by job and scope. Reporting gets reads only. Billing gets billing writes. Only one card agent holds the issuing scopes.
  3. Never let an agent choose its own card limit. The card agent asks a policy service for the limit, merchant categories and expiry, and issues exactly that.
  4. Keep a budget per agent across all its cards, not only per card, so a fifth card does not reset the ceiling.
  5. Require a named human above a threshold, with approval routing for agent payments that records who approved what.
  6. Prefer merchant-locked, single-use cards for one-off purchases. Airwallex supports single-use cards, and our guide to virtual cards for AI agents covers when to use them.
  7. Keep agents out of shared Slack channels, as Airwallex itself advises.

We measured the same question across the finance stack. The Tipalti MCP server is read-only while its OAuth server already lists payment write scopes. The Mercury MCP server can only request payments, and Mercury's agent cards are created by people in the app. Airwallex sits between the two: no money-out scope at all, but full card issuing.

How AgentsPay works alongside Airwallex

AgentsPay does not replace Airwallex. Airwallex stays your multi-currency account, FX engine, card issuer and payout rail. AgentsPay sits between your agents and Airwallex and decides, request by request, whether one goes through.

Each agent gets its own identity, a monthly budget, a per-transaction ceiling and an approval threshold with a named approver. When an agent needs a card, it asks AgentsPay first, with the merchant, amount and reason. AgentsPay returns the limit, the allowed categories and the expiry the card must carry, or routes the request to the approver. Every decision lands in an audit trail you can hand to an auditor. Because the same policy covers cards, bank transfers and agent payment protocols, an Airwallex card and a payment on another rail count against one budget.

If you are pricing the Airwallex side, our Airwallex pricing breakdown covers the US plans, FX and transfer fees. The agent side is on our AgentsPay plans and pricing page, and the controls themselves are described under spend controls for AI agents.

Whatever standard moves the money, AgentsPay is the rail-neutral control plane that keeps it governed. See how it works and the control surfaces that enforce policy, approvals, and audit on every transaction.

Original research

Airwallex MCP scopes by server, read 21 October 2026

From the oauth-protected-resource documents of the production AgentOS MCP and the sandbox Developer MCP.

Scope group Production AgentOS MCP Sandbox Developer MCP What it allows
All scopes 35 47 Total published scopes
Write scopes 12 20 Create or change resources
Transfers Read only Read and write Sending money to beneficiaries
FX conversions Read only Read and write Converting currency balances
Deposits and linked accounts None Write Funding the account
Cardholders and cards Read and write Read and write Creating cardholders and issuing cards with limits
Payment links Read and write Read and write Collecting money from customers
Billing (customers, discounts, invoices, prices, products, subscriptions, usage) 7 write scopes 8 write scopes Changing what customers are charged
Dynamic client registration Yes Yes Any MCP client can register

Controls

The checks we ran so the numbers can be trusted

Each probe was paired with a control that should have produced the opposite result.

Probe Result Control Control result
GET mcp.airwallex.com/mcp 405, POST only Random path on mcp.airwallex.com 404, so the host is not a catch-all
POST initialize without a token 401, Bearer resource_metadata Server root 404
Production protected-resource metadata 35 scopes, 12 write Sandbox Developer MCP metadata 47 scopes, 20 write, incl. transfers_edit
Authorization-server metadata Registration endpoint, PKCE S256 openid-configuration paths 404
Money-out scopes on production None found Read scopes for the same resources transfers_view and conversions_view present

Comparison

What Airwallex governs and what it leaves to you

Airwallex controls from its own documentation, next to the controls a finance team needs for an AI agent.

Control Airwallex AgentsPay
Block transfers and FX by an agent Yes on the AgentOS MCP, by missing scopes Yes, by policy on every rail
Per-card limit by interval Yes, seven intervals from per transaction to all time Yes, set by policy, not by the agent
Merchant category and currency limits Yes, per card, all allowed if left empty Yes, required per agent
Who chooses a new card limit Whoever issues the card, agent included The policy, before the card is issued
Budget per agent across all its cards No Yes
Human approval before a write Client-side prompt from tool annotations Yes, above a threshold, with a named approver
Approval on CLI writes Yes unless --confirm is passed Not needed, policy decides first
One budget across Airwallex and other rails No Yes

Frequently asked

Questions people ask about Airwallex MCP Server

Does Airwallex have an MCP server?

Yes, two. The Airwallex AgentOS MCP at https://mcp.airwallex.com/mcp connects AI agents to your production account through OAuth. The Airwallex Developer MCP at https://mcp-demo.airwallex.com/developer is for engineers, searching docs and acting on the sandbox only, with a docs-only endpoint at /docs and an npm package, @airwallex/developer-mcp.

Can the Airwallex MCP server send payments?

No. Airwallex says AgentOS does not initiate transfers, FX conversions or payouts, and the production server's OAuth metadata backs that up: it publishes read scopes for transfers and conversions but no write scope for either. It can still issue corporate cards, create payment links and change billing objects such as invoices and discounts.

What is Airwallex AgentOS?

Airwallex AgentOS is a toolkit that lets AI agents operate on a production Airwallex account. It bundles two connectors (the Airwallex CLI and the AgentOS MCP server), pre-built skills for billing, beneficiaries, card provisioning and cash flow, and plugins that install them into Claude Code, Claude Cowork, Cursor and Codex. The skills are in beta.

How do I connect Airwallex to Claude?

In Claude.ai or Claude Cowork, open Settings, then Connectors, choose the official airwallex-agentos connector and complete the OAuth sign-in to your production account. In Claude Code, run claude mcp add-json airwallex with the URL https://mcp.airwallex.com/mcp, or install the airwallex-agentos plugin from the official Claude plugin marketplace.

What is the Airwallex Developer MCP?

The Airwallex Developer MCP is a server for engineers building an Airwallex integration. It lets a coding agent search Airwallex documentation and call sandbox APIs to test and simulate flows. It has no production access. Its OAuth metadata publishes 47 scopes, including transfer and conversion writes, which is safe because they only touch sandbox data.

Can an AI agent issue Airwallex cards?

Yes. The production AgentOS MCP holds the cardholder and card write scopes, and Airwallex's card-provisioning skill creates cardholders and issues virtual or physical corporate cards with spend limits. The agent that issues a card chooses its limit, up to your account's maximum, so set those limits from a policy rather than leaving them to the agent.

What spending limits can Airwallex cards have?

Every Airwallex card must carry transaction limits, set per transaction, daily, weekly, monthly, quarterly, yearly or for all time. You can also limit merchant category codes, currencies, an active date range and transaction types, and send authorizations to your own endpoint. Your account has a default and maximum per-transaction limit that only your account manager can change.

Does the Airwallex CLI require confirmation for writes?

Yes, in interactive mode. The Airwallex CLI asks for confirmation before write actions unless you pass the --confirm flag, which scripts and pipelines usually do. The CLI reaches production with --prod and has the broadest API coverage of the AgentOS connectors, so limit its login with --scope when an agent uses it.

What OAuth scopes does the Airwallex MCP use?

The production server publishes 35 scopes in two families, r: for reads and w: for writes, such as r:awx_action:balances_view and w:awx_action:issuing_cards_edit. Twelve are writes, covering contacts, cardholders, cards, payment links, feedback and seven billing objects. Grant only what each agent needs when you authorize it.

Is it safe to add the Airwallex agent to Slack?

Airwallex advises against it. Connecting AgentOS MCP lets the agent platform act within your scopes, so anyone who can prompt a shared agent could perform Airwallex actions with your privileges that they could not perform in the web or mobile app. Keep each connection personal and scoped narrowly.

How much does Airwallex cost?

In the US, the Explore plan costs 0 dollars a month with up to 10 free Spend users, Grow costs 12 dollars per Spend user a month plus a platform fee based on team size, and Accelerate is custom. FX costs 0.5 percent over interbank for major currencies. Our Airwallex pricing guide covers the full fee schedule.

How do I cap what an AI agent can spend through Airwallex?

Keep money-out on the AgentOS MCP, where no transfer scope exists, and control cards from outside the agent. Before an agent issues a card, it asks a spend control layer such as AgentsPay for the limit, merchant categories and expiry. AgentsPay holds a per-agent monthly budget across all its cards and routes larger requests to a named approver.

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AI Agent Governance

AI agent governance

Every agentic AI governance framework published so far governs the same four things: identity, tools, data and prompts. Not one of them carries a budget. Here is what the real frameworks say, which guardrails actually bind at runtime, and what to do about the last mile none of them reach.

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A2A Protocol

A2A Protocol

Most explanations of the A2A protocol stop at the sentence that agents can now talk to each other. That was true in April 2025 and it is no longer the interesting part. A2A shipped version 1.0 in April 2026 under Linux Foundation governance, it runs in production inside Azure AI Foundry and Amazon Bedrock AgentCore, and the questions engineers actually get stuck on are narrower: what an Agent Card commits you to, when to reach for MCP instead, and what happens the first time one of your agents has to pay another one for the work. That last question has a specific answer, and it is not in the core spec.

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Mastercard Agent Pay

Mastercard Agent Pay

Nearly every article about Mastercard Agent Pay is a retelling of one press release from April 2025, the one where Mastercard said AI agents would be able to shop with Agentic Tokens and named Microsoft as the first platform. That was sixteen months ago, and four more things have shipped since. Reading only the launch coverage leaves you with roughly a quarter of the picture, and the missing three quarters are the parts that decide whether you can actually put this into production.

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Visa Intelligent Commerce

Visa Intelligent Commerce

Almost everything written about Visa Intelligent Commerce is a retelling of the April 2025 announcement, when Visa said AI agents would be able to pay with a Visa credential. Three more things have shipped since, including an open agent-identity protocol built with Cloudflare that most coverage does not mention at all. This page is the current version, checked against Visa’s own developer documentation and newsroom in August 2026.

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Stripe agentic commerce

Stripe agentic commerce

Most writing about Stripe and agentic commerce is still a retelling of the September 2025 launch week, when Stripe and OpenAI shipped Instant Checkout and published the Agentic Commerce Protocol together. Stripe has built a good deal more since then, and some of it points in a direction the launch coverage never anticipated. This page is the current version, checked against Stripe’s own documentation in August 2026.

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ChatGPT Instant Checkout

ChatGPT Instant Checkout

Almost every guide to ChatGPT Instant Checkout still reads like it was written the week it launched, walking merchants through how to apply and what the fee will be. OpenAI changed course in March 2026. Here is the accurate version: what Instant Checkout was, what the numbers actually looked like, what replaced it, and which parts of the stack are still very much alive.

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Google AP2

Google AP2

Most guides to Google AP2 still describe an Intent Mandate and a Cart Mandate, because most of them are rewrites of the September 2025 launch post. The specification moved. Here is what the Agent Payments Protocol actually defines today, and the one question it deliberately does not answer.

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Human in the loop AI

Human in the Loop AI

Every guide to human in the loop AI describes the same shape: the agent pauses, a person decides, the agent continues. The shape is right. What almost none of them ask is a harder question, which is where the pause is enforced, because a pause written into the agent's own code is a pause the agent is trusted to honor.

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AI agent cost

AI Agent Cost

Every cost guide for AI agents answers the same two questions: what does it cost to build, and what does it cost to run. Both are answerable, and both are on somebody's invoice. The third question is the one that ends up in a variance report, because the agent also spends your money, and nobody sends you a bill for that.

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Agentic checkout

Agentic Checkout

Nearly every guide to agentic checkout is written for the merchant who wants to receive these orders. Far fewer are written for the company whose agents are placing them, which is odd, because agentic checkout quietly removes the one screen where spending used to get a second look.

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API monetization

API Monetization

Most guides to API monetization argue about which pricing model wins. The harder question in 2026 is who is calling. An API priced for a signed-up developer with a key behaves very differently when the caller is an agent that showed up once, wants one record, and has no account.

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x402 protocol

x402 Protocol

x402 took the one HTTP status code the web never used and turned it into a payment rail machines can drive. The protocol is elegant and genuinely small. The part it deliberately leaves to you is the budget.

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AI procurement agents

AI Procurement Agents

Every major procurement suite shipped agents during 2026. Almost none of them answer the question your controller will ask first, which is what happens when the agent is wrong about a purchase and the money has already moved.

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Agentic payments

Agentic Payments

Agentic payments move money with no human at the checkout. The rails to do it all shipped during 2026. The part most teams have not solved is deciding, before the money moves, whether the agent was allowed to spend it.

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AI agent monetization

AI Agent Monetization

Every AI agent company is rewriting its price list. The models that survive are metered. The ones that quietly fail are the ones where nobody measured what a single task costs to serve.

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Agent payment platforms

AI Agent Payment Platforms

Five different kinds of product now call themselves an AI agent payment platform, and they solve five different problems. Picking the wrong category is the expensive mistake, not picking the wrong vendor inside a category.

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Universal Commerce Protocol

the Universal Commerce Protocol (UCP)

Google and Shopify shipped UCP as an open standard so an AI agent can check out at any merchant that supports it. Here is what the specification actually defines, where it is live for US buyers, and the one thing it deliberately leaves to you.

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MCP Payments

MCP Payments

MCP payments are how an AI agent discovers a payment tool and calls it to move money. The catch: the Model Context Protocol carries the tool call, not the spending decision, so nothing in the stack asks whether the purchase should have happened.

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Visa Intelligent Commerce vs Mastercard Agent Pay

Visa Intelligent Commerce vs Mastercard Agent Pay

Visa Intelligent Commerce and Mastercard Agent Pay are the two big card networks racing to let AI agents pay. They take different routes to the same idea, and neither one decides whether a given purchase should have happened.

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Agentic Commerce Protocol

the Agentic Commerce Protocol

ACP is the open standard behind agentic checkout in ChatGPT. It tells a merchant how to sell to an AI agent. It says nothing about whether your agent should have made the purchase.

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AP2 vs ACP vs x402

AP2 vs ACP vs x402

AP2, ACP, and x402 are the three standards shaping how AI agents pay. They solve different layers of the problem, and most real systems will touch more than one.

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Machine payments protocol

Machine payments protocol

As software starts paying software, machine payments protocols define how value moves without a human at the keyboard. The harder question is how to keep that spending governed.

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Know Your Agent (KYA)

Know Your Agent

KYA, or Know Your Agent, extends the idea of customer due diligence to autonomous software. When an agent spends, you need to know which agent, on whose authority, and under what limits.

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Keep agent spending governed

Add policy, hard limits, human approval, and an immutable audit trail across any protocol or rail. Start in the sandbox today.

Never moves money without policy