Create a hosted Checkout Session. Returns a url the customer completes payment on. Use mode=
AI agents use create_checkout_session to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool creates a checkout session that leads customers through a payment process, directly committing financial transactions. It falls squarely in the Financial category. Misuse could result in unauthorized charges or fraudulent payment sessions, making the severity critical.
From the tool's definition 'Create a hosted Checkout Session. Returns a url the customer completes payment on.' - this tool initiates a payment flow
Documented attack patterns abuse exactly the kind of access create_checkout_session gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for create_checkout_session:
{
"version": "1",
"default": "deny",
"tools": {
"create_checkout_session": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to create_checkout_session is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Create a hosted Checkout Session. Returns a url the customer completes payment on. Use mode=. It is categorised as a Financial tool in the Mcp Afip MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for create_checkout_session: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Afip. Nothing to install.
create_checkout_session is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the create_checkout_session rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_checkout_session. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_checkout_session is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
1300 Mcp Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.