Production Monitoring for Cursor Users — DeepTracer
For Cursor & Claude Code users

Ship with Cursor.
Sleep with DeepTracer.

Cursor makes you ship 10x faster. That means bugs reach production 10x faster too. DeepTracer is the safety net that catches what slipped through — investigates it automatically, explains it in plain English, and sends you the fix.

Also available as a Cursor MCP tool — query investigations without leaving the editor
5 lines to add DeepTracer
24/7 agent watching your app
<2ms overhead per request
checkout/route.ts
checkout/route.ts
1 import { stripe } from '@/lib/stripe'
2 import { getSession } from '@/lib/auth'
3  
4 export async function POST(req: Request) {
5   const session = await getSession()
6   const customer = await stripe.customers.create({
7     email: session.user.email,
8   })
Cursor Composer
Applied
@checkout/route.ts add stripe customer creation on checkout
Added Stripe customer creation using the authenticated user's session.user.email. The customer is created on every checkout request and the ID is returned for use in payment intent creation.
deployed d8f3a1c · 2 hours ago
TypeError: Cannot read properties of null — reading 'email'
28 users
Why
OAuth users have a null email until they verify. session.user.email is null for all Google sign-ins — Stripe throws on line 7.
Fix
Guard with if (!session?.user?.email) before the Stripe call. Return a 400 prompting email verification.
Line 7 — same line Cursor wrote 2 hours ago in commit d8f3a1c
What Cursor code misses

Fast shipping has a
specific failure signature.

AI-assisted code has patterns. It assumes everything is defined. It writes the happy path. It forgets your production environment isn't your laptop. DeepTracer knows these patterns — and watches for all of them.

01 Silent crash
The null assumption

Cursor writes code that assumes every field is populated. In production, OAuth users, new signups, and incomplete profiles break that assumption instantly.

Cursor wrote ✦ AI
const customer = await stripe.customers.create({
  email: session.user.email, // assumes non-null
})
Production
TypeError: Cannot read properties of null
reading 'email' · OAuth users · 28 crashes · 100% checkout failure
DeepTracer found

session.user is null for all Google OAuth signups until email verification. Correlates to commit d8f3a1c — same line Cursor wrote 2h ago. Fix: guard with if (!session?.user?.email).

✓ caught in 1.8s · before any user complained
02 Unhandled error
The missing try/catch

Cursor writes clean, readable async code. It rarely adds error handling unless you ask. External APIs — Stripe, Resend, OpenAI — fail in ways the happy path never hits.

Cursor wrote ✦ AI
const { data } = await resend.emails.send({
  to: user.email,
  subject: 'Welcome!'
}) // no try/catch
Production
UnhandledPromiseRejection: Resend API rate limit exceeded
500 on /api/signup · 14% of new signups never got welcome email
DeepTracer found

Resend rate limit hits during traffic spikes over 40 req/min. No try/catch means the entire signup route throws. Wrap in try/catch and add a catch that still creates the user — send welcome email async via queue.

✓ caught in 2.1s · 340 affected signups identified
03 Config error
The env var Cursor can't see

Cursor generates code referencing environment variables it found in your .env.local. It has no idea what's set in Vercel production — or Railway, Render, or Fly.io.

Cursor wrote ✦ AI
const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY
}) // works on your machine
Production
AuthenticationError: No API key provided
OPENAI_API_KEY is undefined · every AI feature broken · 0 users can use it
DeepTracer found

OPENAI_API_KEY returns undefined in your Vercel environment. The key exists in .env.local but was never added to Vercel → Settings → Environment Variables. Fix takes 30 seconds.

✓ caught in 0.9s · fix before first real user
04 $ cost spike
The LLM call on every keystroke

You asked Cursor to add an AI feature. It did — cleanly. But it hooked the API call to onChange instead of onSubmit. Your OpenAI bill is now running at $40/hour.

Cursor wrote ✦ AI
<input
  onChange={e => streamAI(e.target.value)}
/>  // fires on every keystroke
Production
OpenAI spend: $0.80 → $290 in 7 hours
6,240 GPT-4 calls · avg 4.1 per user session · projected $1,200/day
DeepTracer found

streamAI() fires on every keystroke — no debounce, no submit gate. At current rate: $36,000/month. Move to onSubmit + add 400ms debounce. Caught 6.2 hours before your next AWS billing alert.

✓ caught in 2.4s · $35,710 saved per month
The loop

From bug to fix —
without leaving your editor.

Cursor writes the code. DeepTracer watches production. When something breaks, the investigation surfaces right back inside Cursor via MCP — so you can fix it without switching context.

1
Write with Cursor

You prompt. Cursor writes. Ship the feature fast — that's the whole point.

@api/checkout add stripe customer creation on checkout with webhook handling
Applied · 47 lines added to route.ts
2
Deploy to production

Push to main. Vercel deploys. DeepTracer starts watching immediately — no config needed.

commit d8f3a1c
vercel deployed · 23s
👁 deeptracer agent watching
3
DeepTracer catches it

Error fires in production. DeepTracer investigates automatically — root cause, evidence, fix — in under 2 seconds.

TypeError: null.email — checkout/route.ts:7
why OAuth users have null email until verified
fix guard line 7 with null check
commit d8f3a1c — your deploy
📩 Slack alert sent · 3:47 AM
4
Fix it — inside Cursor

Query the investigation via DeepTracer MCP. Ask Cursor to apply the fix. Done — without switching tabs.

Cursor · MCP · DeepTracer MCP
get_investigation checkout TypeError
 
Root cause: session.user.email
is null for OAuth users (line 7)
 
Fix: add null guard before stripe
customer.create() call ✓
🔁
The entire loop — write, deploy, catch, fix — happens without switching context. Cursor writes the code. DeepTracer watches production. MCP brings the investigation back into your editor. No dashboards to check. No tabs to switch. No guessing what broke.
Set up MCP →
Setup

Five lines to add it.
One config to close the loop.

Add the SDK to start monitoring. Then add DeepTracer as a Cursor MCP tool — and investigations appear right inside your editor when you need them.

SDK · Step 1 5 lines of code
Add DeepTracer to your app

One file. Five lines. Works with Next.js, Node.js, Express — any JavaScript app. Add it once, never think about it again.

$ npm install @deeptracer/nextjs
src/instrumentation.ts
1 import { DeepTracer } from '@deeptracer/nextjs'
2
3 export function register() {
4 DeepTracer.init({
5 apiKey: process.env.DEEPTRACER_KEY
6 })
7 }
1
Install the package and create src/instrumentation.ts
2
Add DEEPTRACER_KEY to your .env.local and Vercel env vars
3
Deploy. Your agent starts watching immediately.
MCP · Step 2 closes the loop
Add DeepTracer to Cursor

Add DeepTracer as an MCP server in Cursor's settings. Then query any investigation without leaving your editor — ask Cursor to fix the bug with the investigation as context.

Cursor MCP config ~/.cursor/mcp.json
{
  "mcpServers": {
    "deeptracer": {
      "command": "npx",
      "args": ["-y", "@deeptracer/mcp"],
      "env": {
        "DEEPTRACER_KEY": "dt_your_key_here"
      }
    }
  }
}
1
Open Cursor → Settings → MCP → Edit config file
2
Paste the config above with your DEEPTRACER_KEY
3
Restart Cursor. DeepTracer tools appear in your Composer context — type get_investigation to query any error.
Already on Vercel? Skip the SDK entirely — connect via Vercel Log Drain in three clicks (zero code changes). The SDK adds richer telemetry like LLM cost tracking and custom events; the drain gives you full error and request monitoring out of the box. Use both for maximum coverage.

Less than one
LLM cost spike

That $290 spike in the Patterns section above — one day of Guardian Mode catches it before checkout. $19/month.

Reactive Mode
Free
$0
forever · no card required
  • 1 project
  • 25K events / month
  • 3 AI investigations / month
  • 10 AI chat messages / month
  • Cursor MCP — query investigations
  • 1-day log retention
  • 24/7 ambient monitoring
  • Slack / email alerts
  • Unlimited investigations
Start free — add one project

Agent wakes when you ask it to

Guardian Mode
Pro
$19
per workspace / month
  • Unlimited projects
  • 2M events / project / month
  • Unlimited AI investigations
  • Unlimited AI chat
  • Cursor MCP — full access
  • 24/7 ambient monitoring
  • Slack + email alerts at 3am
  • 7-day retention (30d for errors)
  • 5 team seats
Start Guardian Mode →

Agent never sleeps · catches issues first

The LLM cost math
The onChange pattern from above — $290 in 7 hours, projected $36K/month. Guardian Mode catches the spike within minutes and sends a Slack alert. One prevented incident = 18+ months of Pro paid for.
18×
ROI on one catch
DeepTracer
$19/mo
LLM monitoring + AI agent + MCP
vs
Sentry
$26/mo
No LLM monitoring, no AI
vs
Helicone
$79/mo
LLM only, no app errors
vs
Datadog
$$$
Per-host pricing, DevOps complexity

Questions from
Cursor users

How does the MCP integration actually work?
Once you add DeepTracer to ~/.cursor/mcp.json, it appears as a tool in Cursor Composer. You can type get_investigation checkout TypeError and Cursor will query your live production data and return the root cause, evidence, and suggested fix — right in the chat. No browser tab, no copy-pasting. The investigation data comes from your actual app, not a simulation.
Do I need both the SDK and the MCP server?
No. The SDK collects data from your app (errors, LLM usage, traces). The MCP server lets you query that data from inside Cursor. They use the same API key and work independently — the SDK sends data in, the MCP server reads it out. If you're on Vercel, the Log Drain alone gives you full error monitoring without any SDK. Add the SDK when you want LLM cost tracking or custom events.
What's the difference between Free and Pro MCP access?
Both plans include MCP access. On Free, you get 3 AI investigations per month — those are the rich root-cause reports that the MCP server returns. On Pro (Guardian Mode), investigations are unlimited. Free is great for trying the workflow. Pro is what you want when you ship daily and need the agent running 24/7, sending you Slack alerts at 3am before you even open Cursor.
Will it slow down or break my app?
No. The SDK is designed to be invisible in production. Events are buffered and sent asynchronously — never on the critical path of your requests. If the DeepTracer endpoint is unreachable, the SDK fails silently and logs a warning. It cannot crash your app or add noticeable latency. The instrumentation.ts hook runs once at server start, not per-request.
Does DeepTracer see my source code?
No. DeepTracer only receives what your app explicitly sends: error messages, stack traces, log lines, LLM token counts, and HTTP metadata. Your source code stays on your machine and in your repo. Stack traces may include file paths and line numbers (like src/app/checkout/route.ts:7) but never the actual code content. The MCP server reads only your own project's data — nothing crosses project boundaries.
How is this different from just reading Vercel logs?
Vercel logs show you raw lines — timestamps, status codes, function output. You still have to read them, correlate them, and figure out the cause yourself. DeepTracer groups errors by fingerprint, runs an AI investigation on each one, and gives you a plain-English root cause + suggested fix. And through the MCP server, you can ask Cursor Composer to pull any investigation by name. It's the difference between logs and answers.
agent active · watching your next deploy

Ship with Cursor.
Sleep with DeepTracer.

Add five lines. Connect the MCP server. Your agent is watching before your next deploy lands.

Free forever · no credit card · works with any Next.js or Node.js app