Canada Payments (Stripe — cards / Apple Pay)
Server Details
Canada payments for AI agents — cards / Apple Pay via Stripe. Never holds funds.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.3/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: create, query status, and refund. No overlap or ambiguity between the three operations.
All tool names follow a consistent verb_noun pattern (create_payment_link, query_payment_status, refund_payment) with snake_case, making them predictable and easy to understand.
Three tools is an appropriate number for a focused payment server, covering the essential lifecycle of a payment without unnecessary complexity.
The server covers the core payment operations (create, status check, refund) well, but lacks a cancellation tool for unpaid payment links, which is a minor gap.
Available Tools
6 toolscancel_subscriptionADestructiveIdempotentInspect
Cancel a subscription. By default the subscription stays active until the end of the current paid period (fair to the buyer); pass immediate=true to cancel right now.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | session_id (cs_...) or subscription_id (sub_...) | |
| immediate | No | true = cancel immediately. Default false = cancel at period end. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructive and idempotent. Description adds timing nuance (default vs immediate), providing context beyond annotations. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with action, no wasted words. Efficient and clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema and description does not mention return format. For a cancellation tool, success/failure indication would be helpful. Otherwise adequate for simple use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. Description adds value by explaining the effect of 'immediate' and clarifying that 'id' accepts two ID types, though schema already lists them.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Cancel a subscription' and explains the default behavior (end of period) versus immediate cancellation. Differentiates from siblings like refund_payment or query_subscription.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Describes the default fair-to-buyer behavior and the immediate option. No explicit 'when not to use' but context with siblings implies usage scope.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_payment_linkAInspect
Create a payment link in CAD for Canada via Stripe (Checkout Sessions). Buyer pays with cards, Apple Pay / Google Pay — whatever is enabled on the Stripe account. Returns a hosted checkout URL the buyer opens to pay — payment completes automatically, no confirm step. Bring your own credentials via HTTP header (x-stripe-secret-key; free test credentials from dashboard.stripe.com never move real money). Money always flows buyer→Stripe→merchant; this service never touches funds. Optional: issue_invoice=true auto-creates a VAT-ready invoice (PDF + hosted page, emailed to the buyer) after payment; collect_tax_id=true collects the buyer's business tax ID (e.g. EU VAT number) at checkout and puts it on the invoice.
| Name | Required | Description | Default |
|---|---|---|---|
| amount_cad | Yes | Amount in CAD (decimals allowed), e.g. 5.0. Minimum 0.5. | |
| description | Yes | What this payment is for (shown to the buyer, ≤200 chars) | |
| success_url | No | Optional https URL to send the buyer to after payment. | |
| issue_invoice | No | true = Stripe automatically creates and emails a post-payment invoice (PDF + hosted invoice page). Ideal for B2B / VAT bookkeeping. Note: Stripe charges a small Invoicing fee per invoice issued. | |
| collect_tax_id | No | true = ask the buyer for their business tax ID (e.g. EU VAT number) on the checkout page; it appears on the invoice. Combine with issue_invoice for a VAT-compliant receipt. | |
| customer_email | No | Optional buyer email. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses important behavioral traits beyond annotations: payment completes automatically, returns a hosted checkout URL, no confirm step, credentials via HTTP header, and money flows buyer→Stripe→merchant (service never touches funds). Annotations provide minimal info, so description adds significant value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single dense paragraph with no wasted words. It is well-structured: main function, payment flow, credentials, optional features. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters, no output schema, and no error handling details, the description covers the return value (hosted checkout URL), overall flow, and optional features. It lacks mention of error conditions or rate limits, but is fairly complete for the complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with parameter descriptions already present. The description adds broader context (e.g., purpose of issue_invoice and collect_tax_id) but does not significantly enhance individual parameter semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a payment link in CAD for Canada via Stripe Checkout Sessions. It specifies the verb 'Create' and resource 'payment link', and distinguishes itself from siblings like create_subscription_link which handles subscriptions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context on when to use this tool (for one-time payments). It implicitly differentiates from siblings like create_subscription_link but does not explicitly list alternatives or state when not to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_subscription_linkAInspect
Create a recurring subscription checkout link (monthly/yearly/weekly billing) via Stripe. The buyer opens the URL, enters their card once, and is then charged automatically every period until canceled. Amount is per billing period in the local currency major unit. Respects the same owner policy guardrails as payments (the per-period amount is checked before anything is created).
| Name | Required | Description | Default |
|---|---|---|---|
| interval | No | Billing period. Default "month". | |
| amount_cad | Yes | Amount charged per billing period (local currency major unit) | |
| description | Yes | What the subscription is for (shown to the buyer, <=200 chars) | |
| success_url | No | Optional https URL to send the buyer to after subscribing. | |
| customer_email | No | Optional buyer email (pre-filled at checkout; receipt goes there). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations (readOnlyHint=false) indicate mutation, which the description aligns with by describing creation. It adds behavioral context: buyer opens URL, enters card, auto-charged, and amount checked before creation. Missing explicit description of the return value (expected to be a URL).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (4 sentences) and front-loaded with the purpose. Every sentence adds value, covering the process, billing, and guardrails without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description covers core functionality well (user experience, guardrails, recurring nature). It could be improved by explicitly stating the return format (e.g., URL). Overall, it is largely complete for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with each parameter described. The description does not add significant new meaning beyond the schema; e.g., 'amount_cad' is described similarly in both. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: creating a recurring subscription checkout link via Stripe. It specifies the billing intervals (monthly/yearly/weekly) and distinguishes it from sibling tools like create_payment_link (one-time) and cancel_subscription.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use the tool (to create a recurring subscription) and provides context on the buyer experience (opens URL, enters card once, auto-charged). It mentions guardrails (amount checked) but does not explicitly compare with alternatives or state when not to use it, though sibling names imply differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
query_payment_statusARead-onlyInspect
Check whether a Canada payment (created by create_payment_link) has been paid. Queries Stripe directly — pull-based, no webhook needed. paid=true when status is PAID. If the payment was created with issue_invoice=true, the result also includes invoice_url and invoice_pdf once paid.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | The session_id returned by create_payment_link |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, making safety clear. The description adds behavioral context by noting it's pull-based and directly queries Stripe, as well as explaining conditional output (invoice details only if issue_invoice=true). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is three sentences, each providing essential information. It front-loads the purpose and then adds important details about behavior and conditional outputs. No unnecessary text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read operation with one parameter, the description covers all necessary information: what it does, how it works (pull-based), what output to expect (paid boolean, conditional invoice details). Despite no output schema, the description fully compensates.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with session_id described. The description adds value by explicitly stating the session_id is 'returned by create_payment_link', helping the agent understand the parameter's origin and format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool checks Canada payment status for payments created by create_payment_link. It specifies the key output (paid boolean) and additional fields when applicable, distinguishing it from sibling tools like cancel_subscription or refund_payment.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description explains it's a pull-based check that queries Stripe directly, indicating it's for immediate status checks without needing a webhook. While it doesn't explicitly state when not to use it, the context from sibling tools provides alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
query_subscriptionARead-onlyInspect
Check a subscription created by create_subscription_link. Accepts the session_id (cs_...) or subscription_id (sub_...). active=true when the subscription is ACTIVE or TRIALING; NOT_SUBSCRIBED_YET means the buyer has not completed checkout.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | session_id (cs_...) returned by create_subscription_link, or subscription_id (sub_...) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark readOnlyHint=true, description adds behavioral details on what active=true and NOT_SUBSCRIBED_YET mean, and clarifies id format. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no redundancy, front-loaded with key purpose and parameter info. Every word contributes.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description explains response states adequately. Lacks mention of error cases or other statuses, but sufficient given simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and already includes the format hints. Description adds explanation of response values but does not add new parameter semantics beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states verb (check/query) and resource (subscription), and distinguishes from siblings like create_subscription_link or cancel_subscription by specifying it checks a subscription created by the link.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use (to check a subscription from create_subscription_link) and explains states, but does not provide explicit exclusions or alternative tool names. Sibling context helps fill the gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refund_paymentADestructiveInspect
Refund a paid payment (created by create_payment_link). Full refund by default; pass amount for a partial refund where supported. Refunds respect the same owner policy guardrails (x-agentpay-max-amount) as payments — the amount is checked before anything is sent to the gateway.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | Optional partial-refund amount in the local currency major unit. Omit for a full refund. | |
| session_id | Yes | The session_id of the paid payment (same id used by query_payment_status) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds behavioral context beyond annotations: refund respects amount guardrails, checks amount before gateway, and partial refund where supported. No contradictions with annotations (destructiveHint: true is consistent).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with action and source. Second sentence adds key details. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool is simple with no output schema; description covers refund scope and guardrails. Could mention return value or error scenarios, but adequate for its complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but description adds meaning: explains session_id usage, clarifies amount is optional and in local currency major unit, and notes partial refund may not be universally supported.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool refunds a paid payment created by create_payment_link, distinguishes between full and partial refunds, and mentions owner policy guardrails. It clearly distinguishes from sibling tools create_payment_link and query_payment_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description specifies default full refund and optional partial refund with amount parameter. It mentions when partial refund is supported and guardrails. Could be more explicit about when not to use (e.g., for unpaid payments), but context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!