AgentsPay

Explainer

Mercury MCP Server and Mercury Agent Cards With Mercury Bank API Spend Controls

Mercury now ships a hosted MCP server that connects Claude, ChatGPT, Cursor and a dozen other AI tools to your business bank account, and since August it issues agent cards an AI can check out with on its own. Before you hand either one to an agent, a founder or controller wants one answer: what actually stops it spending? We read Mercury's MCP documentation, its OAuth metadata and every operation in its public API on 15 October 2026 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 Mercury MCP server is Mercury's official, beta Model Context Protocol server at https://mcp.mercury.com/mcp. It gives Claude, ChatGPT and other AI tools 30 read tools and 5 write tools over OAuth, and its two money tools only create payment or transfer requests that a human must approve in Mercury, so the MCP route cannot send money by itself. The wider Mercury API is different: we counted 74 operations, and its direct send endpoint does not run your approval rules, card limits can only be set as one amount per interval, and merchant and category locks cannot be set through the API at all.

What the Mercury MCP server does today

Mercury runs one hosted MCP server, at https://mcp.mercury.com/mcp, and labels it a beta. You add it once and sign in through Mercury's OAuth screen, where you pick the account and the permissions the AI tool gets. Nothing is installed on Mercury's side, because the server supports dynamic client registration: the AI tool registers itself on first connect.

Mercury lists official integrations for ChatGPT, Claude, Cursor, Perplexity, Gemini Enterprise, Grok, Microsoft 365 Copilot, Notion and Replit, and documents manual setup for Claude Code and Codex CLI. In Claude Code it is one line, claude mcp add --transport http -s user mercury https://mcp.mercury.com/mcp, followed by claude mcp login mercury.

Once connected, the tool can read balances, statements, transactions with merchant and card metadata, recipients, cards, users, treasury accounts, invoices, customers, webhooks and even SAFE agreements. Mercury's supported-tools page lists 30 read tools and 5 write tools, last updated 8 October 2026. That breadth is the point of the product: a founder can ask "graph my last six months of software spend" and get an answer from live bank data.

The read side matters for security too. Mercury's own security page warns that read access exposes balances across every account, complete transaction history and recipient routing and account numbers, and that this data could leak if the AI client is compromised or prompt-injected.

Startup founder at a loft workstation reviewing a pending bank payment request on a laptop beside a phone

How we probed Mercury, with a control for every check

We did not rely on the marketing page. On 15 October 2026 we pulled four public sources and checked each against a control that should have produced the opposite result:

  • The MCP host. The server root returned 200 {"status":"ok"}, the MCP endpoint returned 401 with WWW-Authenticate: Bearer error="invalid_token", and a randomly generated path on the same host returned 404. So the host is real and not a catch-all that answers everything.
  • The OAuth metadata. /.well-known/oauth-protected-resource names the resource "Mercury MCP Server" and publishes exactly seven scopes: read, offline_access, transactions:request, transfers:request, categories:create, categories:edit and transactions:update. The authorization server supports PKCE (S256) and a public registration endpoint.
  • The API reference. docs.mercury.com/llms.txt indexes 112 documentation pages. Every API reference page embeds its OpenAPI definition, and we parsed 74 operations from them (one page, Get an attachment, ships malformed JSON and was read by hand). A random reference path returned 404.
  • The limit vocabulary. We searched all 257 input fields on the 31 write operations for amount, limit, budget, spend, max, threshold, approval, merchant, category and interval words. The search fired 18 times, and it fired hard on the card endpoints, which is where Mercury does model limits, so it is not blind.

Mercury MCP cannot send money, and that is a real control

Credit where it is due. Mercury designed the MCP write path more carefully than most payment MCP servers we have probed. The two money tools are requestSendMoney and requestTransferMoney, and both create a request, not a payment. Mercury's documentation says plainly that the AI tool "cannot approve the request or move money on its own," and that if your approval policy would normally let the payment through without review, "the requester must approve it in Mercury." There is no OAuth scope at all for the direct send endpoint, so no MCP connection can reach it.

The other three write tools are different in kind. createCategory, editCategory and updateTransaction apply immediately, with no approval queue. They move no money, but they rewrite how spend is categorized and annotated, which is the data your books and your month-end close are built on. Mercury's security page names this risk directly: a prompt injection could cause "unwanted category or note changes."

The MCP server also does not create recipients, issue or manage cards, or create invoices, and agent card credentials are not available through it. So the honest summary of the MCP route is: strong on money movement, open on metadata, and a human approves every single payment.

The Mercury API direct send skips your approval rules

Most agents that do real work will not stop at MCP. A custom AP agent, a payout job or an internal tool calls the Mercury API directly, and the API has two ways to send money that behave very differently.

POST /account/{accountId}/transactions (createTransaction) submits an ACH, check, domestic wire or real-time payment immediately. Mercury's own Send Money guide says it "does not run your organization's approval rules." Its controls are an IP allowlist on the token, a required idempotency key, and a duplicate guard that rejects the same recipient, account and amount within 24 hours.

POST /account/{accountId}/request-send-money (requestSendMoney) always queues the payment for approval in the dashboard, regardless of policy, and by default the approver is someone other than the token creator. It needs no IP allowlist, because dashboard approval is the control, and it is the only route for international wires.

Two practical consequences for an agent. First, the choice of endpoint is the policy: whoever writes the integration decides whether approvals apply. Second, there is nothing between the two. You get every payment approved by a human, or no approval at all. There is no field for "send automatically under 500 dollars, ask above that," no per-transaction ceiling and no cumulative budget on either endpoint. Approval requests also have no webhook today, so an agent waiting on one has to poll.

Mercury agent cards ringfence the card, not the agent

On 12 August 2026 Mercury launched Mercury Spend with agent cards, a virtual debit or credit card a human creates in the web or mobile app and hands to an AI agent. The agent fetches the full number, expiry and CVC from GET https://vault-api.mercury.com/api/v1/cards/{cardId}/reveal or with mercury cards reveal in the Mercury CLI, then checks out on its own. Reveal works for agent cards only and is not available through MCP.

The guardrails are sensible. Per Mercury's changelog, an API caller cannot create a card with isAgentCard set to true, and cannot change an agent card's spend limit or unfreeze it. The stated goal is to let you give an agent API access "while ringfencing your total exposure to only the agent cards handed over." For a single agent with a single card, that is a good design.

The API schema shows where it stops. A card's limit is one object, spendLimit, with an amountCents and an interval of daily, weekly, monthly or yearly. It is a total per rolling window. There is no per-transaction maximum and no approval step on the card. The card object does return merchantLock, categoryLocks and budgets, but none of them appears in the create or update request, so merchant and category locks can only be set by a person in the app, never by your provisioning code. And the limit belongs to the card, not the agent. An agent that holds two cards, or pays through a Mercury card and an API payment and a Stripe charge, has no single number anywhere that says how much it has spent this month.

Commentary on the launch also pointed out that Mercury's agent card terms leave transactions the customer's responsibility even when an agent acts outside its intended scope. That is normal for a card program, and it is the reason the policy belongs on your side.

Engineer holding a plain unbranded card next to a terminal window while setting a card spending limit

Mercury API tokens are well managed, and still all or nothing

Mercury's token hygiene is better than most banks offer. There are three tiers, Read Only, Read and Write, and Custom. Any token with write scopes must be pinned to an IP allowlist. Tokens that carry more permission than they used in a 45-day window are downgraded automatically, unused tokens are deleted after 45 days, and admins get a seven-day email warning before either happens.

What a token cannot express is an amount. Scopes say which endpoints a token may call, never how much it may move, and Custom token scopes cannot be edited after creation. An agent holding a Read and Write token can send any amount the account balance allows, through the endpoint that does not check approval rules, from any allowlisted server. Mercury itself restricts what the payments API may be used for: paying your own invoices and automating your bills are allowed, while building a marketplace, escrow or money transmission service on it is not.

What a finance lead adds before an agent touches Mercury

The controls a controller asks for in the architecture review all sit outside the bank, so the agent cannot rewrite them and they work the same on every rail:

  • A per-agent budget, daily and monthly, counted across every card, every API payment and every other provider the agent can pay through.
  • An approval threshold instead of all-or-nothing: small payments clear automatically, anything above the line waits for a named approver in Slack or email.
  • Counterparty and category rules set in code, so a new agent starts with an allowlist instead of waiting for someone to click merchant locks in an app.
  • A per-transaction ceiling, so one bad tool call cannot use the whole month's limit in a single charge.
  • An agent identity and audit trail separate from the human whose token or card it borrows, so you can answer "which agent spent this, and who approved it" without guessing.

How AgentsPay works alongside Mercury

Keep Mercury as your bank, your cards and your payment rails. AgentsPay sits in front of the moment money leaves. Each agent gets its own AgentsPay identity with hard per-agent spend limits, an approval threshold that routes larger payments to a human, scoped virtual cards for AI agents when you want a card per task, and an audit trail of every agent payment.

In practice the agent asks AgentsPay before it calls createTransaction, reveals an agent card or pays anywhere else. Under the threshold it proceeds and the payment is logged against its budget. Above it, a person approves once and the agent continues. Mercury's own controls stay on as a second line, which is exactly where they belong.

If your stack also includes BILL for payables, the same pattern applies, and we documented BILL's control surface on the Bill.com MCP server comparison. For the wider set of finance tools that now expose MCP servers, see QuickBooks, NetSuite and Xero MCP servers and Stripe, PayPal and Square MCP servers. Mercury's plan prices and fees are broken down in Mercury pricing plans in 2026.

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

Mercury API and MCP by control, read 15 October 2026

From the OpenAPI definitions on every reference page listed at docs.mercury.com/llms.txt and the MCP server's published OAuth metadata.

Surface Count Human approval Spend limit available
All published API operations 74 Only on the request endpoints Card spendLimit only
API write operations 31 25 POST, 5 DELETE, 1 PATCH 257 input fields, 0 per-transaction caps
Direct send, createTransaction 1 No, does not run approval rules No, IP allowlist and 24-hour duplicate guard
Request send and request transfer 2 Always, in the Mercury dashboard No
Card create and update 2 No One amount per daily, weekly, monthly or yearly window
Merchant and category locks Read only in API Set by a person in the app Not settable through the API
Mercury MCP read tools 30 Not needed Not applicable
Mercury MCP write tools 5 2 money tools queue for approval, 3 metadata tools apply instantly No

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.mercury.com/mcp 401, Bearer invalid_token Random path on mcp.mercury.com 404, so the host is not a catch-all
oauth-protected-resource metadata 7 scopes, none for direct send oauth-authorization-server metadata Same 7 scopes, PKCE S256, open registration
docs.mercury.com/llms.txt reference index 112 pages, 74 operations parsed Random reference path 404
Limit and approval words in 257 write fields 18 hits, all read by hand Card create and update, built around limits Fired on spendLimit, amountCents and interval

Comparison

What Mercury governs and what it leaves to you

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

Control Mercury AgentsPay
Human approval before money moves Yes on MCP and request endpoints, no on direct send Yes, above a threshold you set
Approval threshold by amount No, every request or none Yes, per agent
Card spend limit Yes, one amount per interval, agent cannot raise it Yes, per agent and per card
Per-transaction ceiling No Yes
Merchant and category rules in code No, app only Yes
Cumulative budget across cards, API and other providers No Yes
Agent identity separate from the human user No, agent uses a person's token or card Yes

Frequently asked

Questions people ask about Mercury MCP Server

Does Mercury have an MCP server?

Yes. Mercury runs an official, beta MCP server at https://mcp.mercury.com/mcp. You connect it through OAuth from ChatGPT, Claude, Cursor, Perplexity, Gemini Enterprise, Grok, Microsoft 365 Copilot, Notion, Replit, Claude Code or Codex CLI. It exposes 30 read tools over accounts, transactions, cards, recipients, treasury and invoices, plus 5 write tools.

Can Mercury MCP send payments?

Not by itself. The requestSendMoney and requestTransferMoney tools create requests that sit under Needs approval in Mercury, and Mercury states the AI tool cannot approve them or move money on its own. A person has to approve each one in the Mercury app. The recipient must already exist, because the MCP server cannot create recipients.

How do I connect Mercury to Claude?

In the Claude app, add Mercury from the connectors directory and sign in. In Claude Code run claude mcp add --transport http -s user mercury https://mcp.mercury.com/mcp, then claude mcp login mercury, approve the account and permissions in the browser, and check with claude mcp list. Write actions need the matching permission on Mercury's consent screen.

What are Mercury agent cards?

Agent cards are virtual Mercury debit or credit cards, launched 12 August 2026, that a human creates in the Mercury app and hands to an AI agent. The agent retrieves the number, expiry and CVC through the Vault API or the Mercury CLI and pays online. It cannot create agent cards, change their limits or unfreeze them.

Can an AI agent change its own Mercury card limit?

Not on an agent card. Mercury blocks API calls that update an agent card's spend limit or unfreeze it. On an ordinary Mercury card the update card endpoint does accept a new spendLimit, so a token with card permissions can raise it. Keep agents on agent cards and keep card-management permissions away from the agent's token.

Does the Mercury API require approval for payments?

Only if you choose the request endpoint. requestSendMoney always queues the payment for approval in the dashboard. createTransaction sends immediately and, according to Mercury's Send Money guide, does not run your organization's approval rules; it is protected by an IP allowlist, an idempotency key and a 24-hour duplicate guard instead.

Can I set merchant locks on Mercury cards through the API?

No. The card object the API returns includes merchantLock, categoryLocks and budgets, but the create and update card requests accept only a nickname and a spendLimit with an amount and a daily, weekly, monthly or yearly interval. Merchant and category locks have to be set by a person in the Mercury app.

Is the Mercury API free?

Mercury does not list a separate API fee, and the base Mercury plan is 0 dollars a month with free USD ACH, wires, real-time payments and checks. Mercury's pricing FAQ does say mass payments through the API can incur fees. Plus costs 35 dollars a month or 29.90 billed annually, and Pro 350 or 299 billed annually.

Is Mercury MCP safe to connect to a business bank account?

Safer than most, because money movement always waits for approval in Mercury. The open risks are read exposure, since balances, transactions and recipient account numbers flow into the AI tool, and the three metadata tools that change categories and notes instantly. Use a trusted client, avoid shared AI sessions and review every request before approving.

What happens if an AI agent is prompt injected while connected to Mercury?

Through MCP it could leak financial data, rewrite categories and notes, and create unwanted payment requests, which Mercury's own security page lists. It could not complete a payment without a human approval. An agent using a Read and Write API token with createTransaction is a different case, because that endpoint skips approval rules.

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

Put a policy check in front of every payment. The agent asks a spend control layer such as AgentsPay with the amount, payee and rail, and calls Mercury only after approval. AgentsPay holds a per-agent monthly budget, a per-transaction ceiling and an approval threshold that apply across Mercury cards, API payments and every other provider the agent uses.

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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