stripe · MCP Server

Connect Stripe to AI with Improvado MCP

Improvado's MCP server connects Stripe to Claude, Cursor, and other AI agents. Query your Stripe data in natural language — no manual exports or API scripts required.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Instant Answers from Stripe

Stop rebuilding revenue summaries from Stripe exports every week. Ask your AI agent to surface MRR trends, churn events, failed payments, subscription upgrades, and revenue breakdowns by cohort — without writing a single query.

Example prompts

"What's my MRR for the last 3 months by plan tier? Show the trend and month-over-month change."

2 hrs → 1 min

"Which customers downgraded or canceled this month? List them with their LTV and cancellation reason if available."

45 min → 45 sec

"Show me all failed payment attempts in the last 7 days, the failure reason, and whether the customer retried."

30 min → 30 sec

Works with Claude ChatGPT Cursor +5

Write

Write: Automate Stripe Actions

Issue refunds, apply coupons, update subscriptions, and create invoices — all through natural language. Handle routine Stripe operations in seconds instead of navigating dashboards.

Example prompts

"Issue a full refund for customer john@acme.com for their most recent charge and add a note explaining the reason."

10 min → 30 sec

"Apply a 20% discount coupon to all customers on the Starter plan who have been subscribed for more than 12 months."

1 hr → 2 min

"Create an invoice for $4,500 for enterprise@bigcorp.com with the line item 'Q2 Professional Services' and send it."

15 min → 1 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Stripe Issues Before They Escalate

Track revenue anomalies, payment failures, and churn signals automatically. Get AI-summarized alerts before a failed payment campaign becomes a revenue hole.

Example prompts

"Alert me if the daily failed payment rate exceeds 5% or increases more than 2x compared to yesterday."

Manual → auto

"Every Monday: send a weekly revenue digest — MRR, new customers, churned customers, net revenue change."

2 hrs → auto

"Flag any customer whose subscription hasn't been renewed in 30 days and whose card hasn't been charged."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Revenue Reporting Requires Manual Stripe Exports Every Time

The problem

Finance and revenue teams rebuild Stripe reports from scratch every week — exporting CSVs, cleaning data, calculating MRR, churn, and expansion revenue in spreadsheets. The process takes two to four hours each time. Different people run slightly different calculations, leading to mismatched numbers in executive presentations.

How MCP solves it

Ask your AI agent for any revenue metric on demand. It queries Stripe's API directly, calculates MRR, churn, and expansion using consistent logic, and returns a formatted summary with trend data — in under two minutes, every time.

Try asking

Give me an executive revenue summary for Q1: MRR, churn rate, net revenue retention, and the top 5 new enterprise customers by contract value.

Answer in seconds

All data sources, one query

Challenge 2

Failed Payments Go Unnoticed Until Churn Happens

The problem

Stripe sends failed payment emails, but nobody owns the remediation workflow. By the time finance notices a spike in failed payments, some customers have already churned or disputed charges. There's no proactive monitoring that correlates failed payments with customer health signals and triggers a recovery campaign before it's too late.

How MCP solves it

Improvado MCP monitors Stripe payment failures in real time and correlates them with subscription age and plan tier. Your AI agent identifies high-LTV customers with actionable failures and can trigger recovery sequences — or alert the success team before the window closes.

Try asking

Identify all customers with failed payments in the last 48 hours who are on an annual plan. List them by contract value and the specific failure reason.

Full detail preserved

No data loss on export

Challenge 3

Subscription Changes Are Invisible Until End-of-Month

The problem

Subscription upgrades, downgrades, and plan changes happen continuously in Stripe, but most teams only see the aggregate in their monthly close. By then, a pattern of downgrades from a particular customer segment could have been happening for three weeks — long after the window to intervene and retain those accounts.

How MCP solves it

Ask your AI agent for a real-time subscription change feed. It surfaces upgrades, downgrades, and plan changes as they happen, segmented by cohort, plan, or customer tier — giving you the visibility to act before churn completes.

Try asking

Show me every subscription downgrade in the last 14 days. Group by plan they moved from, plan they moved to, and customer segment. Are there any patterns worth investigating?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What is Stripe MCP?

Stripe MCP is a Model Context Protocol server that connects your Stripe account to AI agents like Claude, ChatGPT, and Gemini. It lets you query revenue data, subscription events, payment history, and customer details in natural language — and take write actions like issuing refunds or applying coupons — without logging into the Stripe dashboard — all through Improvado's hosted MCP server.

Which Stripe data can I access through the MCP server?

Charges, payments, refunds, subscriptions, customers, invoices, products, plans, coupons, disputes, and payout history. You can query individual records or aggregate metrics like MRR, churn rate, average revenue per user, and net revenue retention.

Can the AI agent modify Stripe data, or only read it?

Both. Read operations include querying payments, subscriptions, and revenue analytics. Write operations include issuing refunds, creating invoices, applying coupons, updating subscription plans, and pausing or canceling subscriptions. Write permissions are controlled by the Stripe API key scope you provide.

Does this work with Stripe Connect and multiple accounts?

Yes. Improvado MCP supports Stripe Connect for platforms managing multiple connected accounts. You can query data across connected accounts in aggregate or drill into a specific account — controlled by your connected account credentials.

Is my Stripe data secure through the MCP server?

Yes. Improvado stores Stripe API keys in an encrypted vault certified to SOC 2 Type II. The AI agent never has direct access to your keys — all requests go through Improvado's secure proxy. You control which Stripe API permissions to grant during setup.

How quickly can I set this up?

Under 60 seconds. Add your Stripe restricted API key (read-only or read/write depending on your use case), configure the MCP server URL in your AI agent, and you're querying. Improvado users with Stripe already connected can start immediately.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms