Before Week 29, Claude Code artifacts were frozen at the moment of creation — useful snapshots, but not live documents. If you built a dashboard showing open pull requests or active incidents, you had to rebuild it each session to get fresh data.
Week 29 (v2.1.207–v2.1.212) changes that fundamentally. Artifacts can now call your MCP connectors on every page view, pulling current data without any session involvement. This guide walks through how to use this capability to build dashboards that stay current automatically.
What You’ll Need
Before starting, you’ll need:
- Claude Code at version v2.1.207 or later (Week 29 releases)
- A connected MCP connector configured in your Claude Code session — for example, a GitHub connector, a Jira connector, or a custom data source
- A Pro, Max, Team, or Enterprise plan — artifacts require a signed-in session and are not available on the free tier
If you haven’t connected MCP tools yet, refer to the Claude Code MCP setup documentation before proceeding. The steps here assume you have at least one working connector.
How Live Artifact Connectors Work
The key shift is that a published artifact is no longer static. When a viewer loads the page, the artifact’s code makes calls to MCP connectors using the viewer’s own connected accounts — not the original author’s credentials. This means:
- Each team member sees data they’re authorized to see
- Viewers approve connector access before the first call (a one-time prompt per artifact)
- Data reflects the current state at view time, not session time
The artifact lives at a URL on claude.ai and updates automatically on each page load. You share the URL, and recipients see the live view.
Step 1 — Verify Your MCP Connector Is Active
Start a Claude Code session and confirm your connector is working. For a GitHub connector, you can test with a simple prompt to verify the connection is live. Refer to your connector’s documentation for the appropriate verification command or query.
Accuracy note: Claude Code connector setup commands vary by connector type and version. Always refer to the official Claude Code MCP documentation rather than relying on any specific CLI flags documented here, as these change between releases.
Step 2 — Build the Artifact With a Live-Data Prompt
This is where the Week 29 feature clicks in. When writing your prompt to build an artifact, name the connector explicitly and describe what you want the artifact to display dynamically:
Build a dashboard artifact of open pull requests that pulls the live list
through my GitHub connector when the page loads.
This exact prompt structure comes from the official Week 29 documentation. The key elements:
- “artifact” — tells Claude Code you want a published, shareable artifact (not just terminal output)
- “pulls the live list through my GitHub connector when the page loads” — explicitly signals this should be a live-data connector call, not a snapshot
Claude Code will build the artifact with appropriate connector hooks. When it’s ready, it appears at a claude.ai URL and you can see it in your browser.
Step 3 — Review and Approve the Connector Access
When you (or a viewer) first opens the artifact, you’ll see an approval prompt before any connector data is fetched. This is intentional — the system won’t make MCP calls silently. Review what the artifact is requesting access to and approve if it looks correct.
This approval is per-viewer, not per-artifact. Each person who opens the artifact goes through the same approval flow with their own credentials.
Step 4 — Share the Artifact
From the artifact’s page header, use the Share button to configure sharing:
- Private — only you can see it
- Organization — anyone in your Team or Enterprise plan with the link
- Public — anyone with the URL (for open-source project dashboards, public status pages, etc.)
When you share, viewers will get the live-data experience automatically. No session rebuilding required.
Example Use Cases Confirmed in the Documentation
Based on the Week 29 release notes and artifacts documentation, the following use cases are explicitly described or illustrated:
- Pull request dashboards — live lists of open PRs filtered by criteria
- Incident investigation timelines — artifacts that update as an incident progresses
- Code review walkthroughs — annotated diff views that link to live PR state
- Session data dashboards — any data your MCP connectors can query, displayed as an interactive page
For use cases beyond these, the underlying capability is general: if your connector can query it, an artifact can display it live. What specific data shapes and visualizations you can build depends on your connected tools and the data they expose.
What to Watch Out For
Connector must be available to viewers. If you share the artifact with people who don’t have the same MCP connector configured, they’ll hit an approval prompt for a connector they don’t have access to. Make sure your viewers have the relevant connector set up before sharing.
Data freshness is view-triggered, not push. The artifact doesn’t update in real time while a page is open — it fetches fresh data on each page load. If you need true real-time streaming, you’ll need a different approach (a live websocket-connected data source, for example).
Viewer credentials govern access. This is a feature, not a bug — each viewer sees only what their own account is authorized to see. But it does mean that if you’re expecting to show a viewer data they don’t have access to via the connector, a live artifact won’t help.
Summary
Claude Code’s MCP live artifact connectors turn what were once session-specific snapshots into persistent, always-current documents that your whole team can access. The critical element is naming your connector explicitly in the build prompt and ensuring viewers have the same connector configured.
For teams running continuous workflows — PR reviews, incident response, deployment tracking — this is a meaningful quality-of-life improvement that reduces the amount of manual session rebuilding you need to do to share current state with collaborators.
Sources
- Claude Code Week 29 What’s New — MCP Artifact Connectors
- Share Session Output as Artifacts — Claude Code Documentation
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