Best MCP Servers for Going Live: Stripe, Linear & Sentry

Someone just paid you. Your app is live, a real user hit a real checkout, and then — thirty seconds later — a 500 error landed in your logs. Congratulations. You've graduated from vibe coder to operator.

The MCP stack that got you here — GitHub for code, Playwright for testing, Figma for design — was built for building. It doesn't know what to do with a Stripe webhook, a Sentry stack trace, or a bug report that needs to become a tracked task. That's what this article is for.

This is part three of a series. Part one covers the MCP setup tools every beginner needs. Part two covers database MCPs — Postgres, SQLite, Supabase. This one covers what comes after: the three MCPs that keep a live app alive when strangers are using it and money is moving.

Why Production Needs a Different MCP Stack

Phase 1 Was Building. Phase 2 Is Keeping It Alive.

When you were building, mistakes were free. A broken migration, a failed deploy, a busted API call — none of it mattered because no one was watching. The moment you deployed your first real app, that changed. Errors now cost you users. Payment failures cost you revenue. Ignored bugs compound.

The tools that help you build don't help you monitor, respond, or prioritize. They have no concept of a charge ID, an unhandled exception rate, or a sprint cycle.

The Three Jobs Your AI Can't Do Without These MCPs

Without these servers, Claude Code is flying blind the moment something breaks in production. It can't see your Stripe dashboard, can't read your Sentry error feed, can't touch your Linear board. You're forced to copy-paste data between tabs and explain context that should already be available.

With this stack connected:

• Claude can look up a payment, check its status, and draft a customer reply
• Claude can pull the stack trace from your latest Sentry error and write a fix
• Claude can create a properly labeled Linear issue from that fix and assign it to the right cycle

That's not automation for its own sake — that's the difference between reacting in minutes versus hours when something goes wrong at 11pm.

Stripe MCP — So Claude Can Handle Payments Without You

What It Does

The Stripe MCP server gives Claude read and write access to your Stripe account through the Model Context Protocol. Instead of opening the Stripe dashboard, filtering by customer, and copying a charge ID into your chat window, you just ask.

Supported operations include charge lookups, subscription status checks, refund initiation, and payment link creation. It connects via stdio locally — meaning it runs as a process on your machine and communicates with Claude Code through standard input/output, the same way most local MCP servers work.

How to Install It

Add it to your Claude Code MCP config:

{
  "mcpServers": {
    "stripe": {
      "command": "npx",
      "args": ["-y", "@stripe/mcp", "--tools=all"],
      "env": {
        "STRIPE_SECRET_KEY": "sk_live_..."
      }
    }
  }
}

Your Stripe secret key goes in the env block — never hardcoded in the args array or committed to your project files. Read how to keep secrets safe when using AI code tools before you do this if you haven't already. Webhook secrets for Stripe should be treated the same way.

What You Can Actually Ask Claude With It Connected

Once it's running, questions like these become answerable in seconds:

• "Look up the last charge for customer cus_abc123 and tell me if it succeeded."
• "A user says they were charged twice last Tuesday. Can you check their payment history?"
• "Create a payment link for $49 and send me the URL."
• "Initiate a refund for charge ch_xyz789."

Claude won't execute anything destructive without confirmation — but having the context instantly available means you can respond to payment issues without ever leaving your editor.

Sentry MCP — So Claude Can Read Your Crash Reports

What It Does

Sentry launched a remote MCP server that connects via HTTP rather than running locally. That means no local process to manage — you authenticate once via OAuth and it's available in any Claude session.

It surfaces recent errors, full stack traces, error frequency trends, and release comparison data. If your app threw 47 unhandled exceptions in the last hour and three of them are the same root cause, Sentry MCP can tell Claude that without you needing to open a single browser tab.

How to Install It

Because it's a remote server, the config is simpler than a local stdio server:

{
  "mcpServers": {
    "sentry": {
      "type": "http",
      "url": "https://mcp.sentry.dev/mcp"
    }
  }
}

Authentication is handled via OAuth — on first use it opens your browser to log in to your Sentry organization. No manual token creation needed. Your credentials are cached locally for future sessions.

Sentry has a free tier that includes 5,000 error events per month and is limited to one user. The MCP server is available on free accounts.

Sign up at sentry.io.

What You Can Actually Ask Claude With It Connected

• "What's the most frequent unhandled error in the last 24 hours? Show me the stack trace."
• "Did the error rate spike after yesterday's deploy?"
• "Which release introduced the TypeError: Cannot read property 'user' of undefined error?"
• "How many users were affected by the 500 errors this week?"

This is the MCP that pays for itself the first time you're debugging a production incident at midnight. Instead of squinting at Sentry's UI trying to remember which filter to apply, you describe the problem and Claude finds it.

Linear MCP — So Claude Can Manage Your Task Board

What It Does

Linear is where bugs become tracked work. Without an MCP connection, every time Claude helps you diagnose a problem, you have to manually translate that into a Linear issue — copy the title, paste the description, pick a priority, assign a cycle. With the Linear MCP, Claude does all of that in the same conversation.

The official Linear MCP server supports creating issues, listing issues by cycle or assignee, updating issue status, and assigning work to team members.

How to Install It

Linear ships a remote MCP server — there is no local npm package to install. Add it to Claude Code directly from the terminal:

claude mcp add --transport http linear-server https://mcp.linear.app/mcp

Or add it manually to your MCP config:

{
  "mcpServers": {
    "linear": {
      "type": "http",
      "url": "https://mcp.linear.app/mcp"
    }
  }
}

Authentication uses OAuth. Run /mcp inside a Claude Code session on first setup and it will walk you through the login flow — no API key required.

Linear's free plan supports the MCP server. The free tier allows unlimited members but caps you at 250 non-archived issues and 2 teams.

What You Can Actually Ask Claude With It Connected

• "Create a Linear issue for the Sentry error we just looked at. Priority high, assign to the current cycle."
• "What issues are in the current sprint that aren't started yet?"
• "Mark issue LIN-204 as done."
• "Show me everything assigned to me that's been in 'In Progress' for more than a week."

The real power here is chaining it with Sentry MCP in a single session: Claude finds the error, proposes a fix, and creates the issue — all without switching contexts.

Do You Need All Three?

Not on day one of being live. Here's a practical cut:

• Just launched, first few users: Start with Stripe MCP. Payment issues are the thing that will cost you trust fastest and need the fastest response.
• Getting real traffic, seeing errors: Add Sentry MCP. You need visibility into what's actually breaking before you can fix anything.
• Working with other people, or managing a backlog: Add Linear MCP. Solo operators with a small app can track issues in a simple doc — Linear becomes essential when the issue list gets long enough to lose things.

All three together is the right answer eventually. But you don't have to configure everything before your first user shows up.

What's Next: The Full MCP Stack Across All Three Phases

If you're reading this and haven't set up the earlier layers yet, start at the beginning. Part one of this series walks you through the MCP servers that help you build — GitHub, Playwright, and the tools that matter before you ship. Part two covers the database MCPs: connecting Claude to Postgres, SQLite, and Supabase so it can actually read and write your data.

The full three-phase stack looks like this:

• Phase 1 (Build): GitHub MCP, Playwright MCP, Figma MCP
• Phase 2 (Data): Postgres MCP, Supabase MCP, SQLite MCP
• Phase 3 (Live): Stripe MCP, Sentry MCP, Linear MCP

If you've already got your app deployed and your secrets managed properly, you have everything you need to wire up this stack in an afternoon. Start with Stripe. It's the one where the stakes are most obvious.