Access Your Crash Data Directly from Your Coding Agent

Sauce Error Reporting MCP is now in open beta. The new MCP server brings Error Reporting directly into your AI-powered development workflow, giving coding agents read-only access to your crash and error data. From Claude Code or another MCP-capable AI client, you can use natural-language prompts to explore projects, find errors, investigate crash groups, and inspect individual errors without navigating the Error Reporting interface. Your crash data and your code now sit in the same conversation. 

The problem: Crash triage is a context-switching tax

The squeeze keeps getting tighter. AI coding tools have developers producing far more code than their teams can verify. Whatever slips through the AI code verification gap tends to surface as production crashes, and more root-cause work now lands on the same devs who shipped the code. 

You notice a spike in errors and leave the IDE. Over in the Error Reporting console, you narrow by platform and release before you drill into a crash group. Then comes the shuffle: reading a callstack, copying frames back into the editor, and rebuilding the surrounding code from memory.

Every round trip costs attention. Even worse, the reconstruction is lossy, and the exact frame, attributes, and release you were looking at get re-typed or half-remembered on the way back to the code. And if an AI coding agent is helping you fix the bug, it starts with none of that context unless you paste it in yourself.

What Error Reporting MCP lets your agent do

Error Reporting MCP gives your agent several unique capabilities. Together, they let your agent:

• List your projects across your org without leaving the session. 
• Discover indexed attributes, including your project’s custom ones, so queries use real field names instead of guesses.
• Search, query, and group errors to see what’s hitting a release, without building the view manually.
• Fetch a single error in full (stacktrace, attributes, and attachments) in one call. 

Error Reporting MCP is also read-only by design. The server reads your error data and never modifies or deletes it. For interactive use, you sign in through your browser with your usual Sauce Labs credentials via single sign-on (SSO). You don’t need a separate account, and your agent works with the same access you have. For CI jobs and headless agents, a read-only API token scoped to a single project handles authentication instead. Read-only access also keeps humans in control, a principle that runs through the entire Sauce Labs AURA platform: Your agent investigates, but you decide what ships. 

Example prompts to try

Start broad, then drill down. A typical investigation in Claude Code might move through prompts like these: 

• “What Error Reporting projects do I have access to?”
• “Show me the top 10 crash groups in <project> over the last seven days, ranked by affected users.”
• “Show me the callstack and attributes for error <object id> in <project>.”
• “Pull the breadcrumbs attachment for error <object id> and tell me what the user did in the seconds before the crash.”

Your agent already has your codebase open, so the natural follow-up is the question you actually care about: where the crash originates and what a fix might look like. 

How Error Reporting MCP speeds up crash triage

The real payoff is having crash data where you already work. Instead of rebuilding context every time you switch tools, triage and investigation happen in one place, next to your code.

• Seamless triage: Start where you already work, with no context switching into a separate dashboard.
• Smart discovery: Ask which attributes a project can be filtered on and skip the guesswork of querying an unfamiliar project.
• Full crash context: Get the whole crash, including its callstack, attributes, and attachments, in a single response so nothing gets lost between tools.
• Rapid resolution: Move from error to root cause faster, with the crash and the code in the same conversation.

See the tool reference for the full list of tools and example prompts detailing everything your agent can do.

Frequently asked questions about Error Reporting MCP

Is Error Reporting MCP read-only?

Yes. The server reads error data from your Error Reporting projects and can’t modify or delete anything. If you connect with an API token, enable only the object:get and query:post capabilities so the token stays read-only too.

Which AI clients work with Error Reporting MCP?

Error Reporting MCP is a remote MCP server hosted at https://mcp.saucelabs.com, so MCP-capable clients that support HTTP transport can connect to it. Setup documentation currently covers Claude Code.

How does Error Reporting MCP authenticate?

You can sign in with SSO through your browser for interactive use, or supply a project-scoped Error Reporting API token for CI jobs and headless agents. Either way, you’ll need your universe name, which is the Error Reporting tenant your projects belong to. 

Do I need Sauce Labs Error Reporting to use the MCP server?

Yes. Error Reporting MCP reads from an existing Error Reporting universe, so you’ll need Error Reporting access first. Explore the product if you’re not using it yet.

Is Error Reporting MCP part of Sauce Labs AURA

Yes. Error Reporting covers the production monitoring stage of AURA, where production errors feed back into test coverage through an autonomous learning loop, so every release informs the next one. Error Reporting MCP brings that production data into the AI coding tools where developers already work.

Try Error Reporting MCP in open beta

Error Reporting MCP is in open beta, and we’re actively gathering feedback to help shape it. Connect it to Claude Code with the setup guide, then tell us what’s working and what’s missing through the feedback tool built into the MCP or through your customer success manager. Details are in the release notes. 

New to Sauce Error Reporting? Explore the product or book a demo to see how AURA closes the AI code verification gap across the full release lifecycle.