Stripe MCP
Give AI agents governed access to payments, billing, and revenue data through Stripe MCP
Connecting AI agents to Stripe through the Model Context Protocol lets them work directly with live payment and billing objects — looking up customers, creating invoices and payment links, inspecting subscriptions, and investigating disputes — under scoped, auditable permissions. Instead of hardcoded scripts, agents reason over current revenue state and take defined actions. We wire this in with restricted keys and human approval on anything that moves money.
Query customers, charges, subscriptions, invoices, and balance transactions to answer revenue and account questions in context.
Generate invoices, payment links, coupons, and draft subscriptions for onboarding, collections, or sales-assisted deals.
Pull dispute evidence, transaction history, and refund status to triage chargebacks and flag risky patterns.
Look up, tag, and update customer metadata and payment methods to keep billing and CRM data aligned.
An agent watches for failed payments and past-due invoices, drafts payment links, and sequences outreach, escalating to a human before any credit or write-off.
Operators ask plain-language questions about MRR, churn risk, or a specific account, and the agent queries Stripe live to answer with current numbers and cited objects.
When a chargeback lands, the agent assembles transaction evidence, classifies the reason, and prepares a response packet for review, cutting manual investigation time.
We provision Stripe restricted keys scoped to only the needed resources, keep money-moving actions behind human approval, and log every call so the agent can read freely but never act unchecked.
Yes. We point the MCP connection at Stripe test mode so agents rehearse full workflows against realistic data before any production key or live customer is involved.
Every MCP action maps to a Stripe API call tied to a specific restricted key, so you get a complete, attributable log of what each agent read or created for compliance and review.
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