Build a Sentry error dashboard with Claude

This is an end-to-end example: connect a data source over MCP, generate a dashboard from live numbers, and close the review loop on one link. Total time, start to shared link, is under fifteen minutes. The same shape works for any of the other examples — only the connection step changes.

Here's the finished dashboard, published to a canvas — click any tile or number to leave a comment, exactly as your team would:

The three moving parts

1. The Sentry MCP server gives Claude read access to your Sentry organization — issues, events, projects, releases, error counts — through a controlled set of tools. You approve what it can touch.
2. Claude pulls the numbers and writes a single self-contained HTML dashboard. You iterate on it in the artifact panel until it's right.
3. Drafty turns that HTML into a stable link your team reviews. Comments pin to the exact element; Claude ships the fix to the same URL.

The generation step is fast now. The part this example is really about is the third one — getting the dashboard in front of people without losing their feedback to a screenshot circled in Preview.

Step 1 — Connect the Sentry MCP server

Sentry runs an official remote MCP server at https://mcp.sentry.dev/mcp. You connect once; it authenticates over OAuth, so no token is pasted into a config file.

In Claude Code:

Then run /mcp inside Claude Code and follow the OAuth prompt to authorize your Sentry organization. When you authorize, grant read access only — this dashboard never needs to write to Sentry.

In Claude Desktop: open Settings → Connectors → Add custom connector, paste https://mcp.sentry.dev/mcp, and authorize with OAuth the same way.

Step 2 — Pull the numbers

Ask Claude in plain language. It uses the MCP server's read tools (search_issues, search_events) to fetch real data:

Claude calls Sentry, returns the figures, and you sanity-check them against the Sentry dashboard before going further. This is the moment to catch a wrong assumption — the wrong project, an environment filter, a time window that doesn't match — while it's cheap.

Step 3 — Build the dashboard

Once the numbers look right, ask for the artifact:

Claude renders it live in the artifact panel. Iterate in place — you're not regenerating from scratch:

• "Make the error-rate chart the hero and put crash-free sessions right under it."
• "Color the top-issues rows by trend — red for regressed, amber for new."
• "Add a sparkline next to each top issue showing its events over the week."

Step 4 — Publish to Drafty for review

A Claude artifact link is a preview, not a stable URL — iterate the artifact and the link you already sent now shows the old version. Ask Claude to publish it to a Drafty canvas instead, so the link you share always stays current:

Claude pushes the dashboard and hands back a drafty.im/canvas/… link that renders on any device. Send it — your team opens it in a browser, no login and no Claude account needed.

Step 5 — The review loop

This is the part that's not obvious until you've done it once.

A reviewer clicks the specific tile, chart, or issue row they want changed and leaves a pinned comment — "this error rate looks low, are we filtering out the staging environment?" The comment is anchored to that element, not floating in a Slack thread. Claude reads the comments through the CLI, reruns the relevant Sentry query if needed, and pushes a revised dashboard to the same URL. The reviewer refreshes and sees the change; the thread stays attached to the element.

The mechanic matters because of what it removes. A Slack message about a chart produces "the number on the left looks wrong." A pinned comment on the actual tile produces "this — exclude the staging environment from the error count." One of those produces a correct revision; the other produces a guess.

Keeping it fresh

An MCP-generated dashboard is a snapshot — it holds the numbers Claude pulled when it built it; it doesn't re-query Sentry when someone opens the link. For a weekly review or a board-ready snapshot, that's fine.

To make it a live canvas that always shows today's figures, copy this prompt — Claude sets up the refresh for you and schedules it to run on its own:

The link stays stable while the content updates underneath it — see keeping a canvas updated automatically.

What to watch for

• Read-only, always. An error dashboard needs read access and nothing more. Scope the OAuth grant or auth token accordingly.
• Check the figures before you share. The MCP returns exactly what you ask for — if your error-rate query mixes environments or counts handled exceptions you meant to exclude, the dashboard will confidently show the wrong number. Reconcile against the Sentry dashboard once.
• The link is the deliverable, not the artifact. Share the Drafty URL, not the Claude artifact preview — that's the one you can update in place.