Know what needs you first
One calm dashboard across all your Django sites. Real issues ranked by user impact, not raw log noise.
Portfolio workflowFor Django freelancers and agencies maintaining 3–10 websites
You started building to ship great software, not to babysit servers. FetchNode watches your portfolio in one quiet queue and feeds real production context to your AI coding agent.
One website free · No credit card · Inspectable setup
Explore a sample projectFailed requests rise after the release. Eight users are linked to the example issue.
Inspect the sample incident“Investigate the checkout errors after v1.8.4. Inspect the traceback, propose a fix and run the relevant tests.”
You review the changes and deployment.The scheduled job stopped completing. Customer impact still needs investigation.
Explore job monitoring“Inspect the job’s code and available errors. Propose a fix and checks before I deploy it.”
You review the changes and deployment.This example page received 840 clicks, down from 1,120. Review the queries before drawing conclusions.
How search context fits in“Review the queries and content for /guides/. Propose improvements and explain which evidence supports them.”
You review the changes and deployment.The reality of maintaining client websites
Silent 500 errors and stalled background jobs shouldn't wait for an upset client email. FetchNode keeps watch across your entire portfolio.
One calm dashboard across all your Django sites. Real issues ranked by user impact, not raw log noise.
Portfolio workflowTracebacks, affected users, slow ORM queries and background jobs connected in one timeline.
Django monitoringGive Cursor or Claude Code production error context via MCP so it can draft tested fixes in seconds.
Agent workflowStop copying logs into AI prompts
Cursor and Claude Code are brilliant in your codebase, but blind to production errors. FetchNode's MCP server bridges the gap.
Choose an error or stalled job from your prioritized queue.
Tracebacks, affected users and query bottlenecks retrieved via MCP.
Review the tested fix in your repository before deploying.
An example investigation
“Investigate why checkout failed after release v1.8.4. Propose a tested fix.”
billing/views.py:42Validated patch and unit test ready for review.
You stay in control of changes and deployment.
Run the setup command in your Django repository to configure Cursor, Claude Code or Windsurf via Model Context Protocol (MCP):
python manage.py fetchnode_mcp --setupRead the setup guide Fast setup
5-minute setup in your existing Django codebase.
Run the guided installer. Inspect every setting before deploying.
Confirm events arrive safely with privacy-safe defaults.
Let Cursor or Claude Code retrieve production context on demand.
Privacy-safe by default. No request bodies, headers, IP addresses, query strings or SQL text captured without explicit configuration.
Inspect data defaultsStraightforward pricing
Connect your first website today. Scale your plan as your client portfolio grows.
Your next project is waiting.
Start with one Django website free. Catch issues before clients do, and keep your freedom to build.
Start monitoring freeOne website free · No credit card · Inspectable setup
No. FetchNode supplies production context through MCP. Your coding agent investigates and proposes fixes in your repository; you review and deploy.
Yes. Start free with one website, verify real production signals, and add more sites whenever you're ready.
FetchNode unifies errors, uptime, jobs and customer impact in one calm portfolio view. Keep specialist tools for deep distributed tracing if needed.
Request bodies, headers, IP addresses, query strings and SQL text stay off by default. Browser analytics waits for user consent.
Choose whether to allow analytics
FetchNode uses optional analytics storage for pageviews and product journeys. Operational error monitoring remains separate. Read the privacy policy.