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One MCP connection. Full Sentry context. No more tab-switching — just ask.
Stop hunting through Sentry's issue list manually. Ask your AI agent for error trends, performance regressions, impacted users, and release health across every project — in one question.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Triage faster. Your AI agent can assign issues, update statuses, create alert rules, and bulk-resolve noise — without you clicking through Sentry's UI.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set AI-powered watches on error rates, performance regressions, and release health. Get context-aware alerts that tell you what broke, which release caused it, and how many users are affected — before your customers notice.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Triage faster. Your AI agent can assign issues, update statuses, create alert rules, and bulk-resolve noise — without you clicking through Sentry's UI.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Teams receive hundreds of Sentry notifications per day. Distinguishing a genuine P0 regression from recurring background noise requires opening multiple issues, comparing event timelines, and cross-referencing release data — a manual process that takes 30+ minutes and still misses things.
Ask your AI agent to classify and prioritize Sentry issues by impact: affected users, error frequency trend, first-seen timing relative to releases. Get a triaged shortlist, not a wall of alerts.
A spike appears on Monday morning. Was it the Friday deploy? The infrastructure change? The third-party SDK update? Engineers spend hours pulling release timelines, comparing error counts pre/post deploy, and reading stack traces to find the culprit.
Improvado MCP correlates Sentry error timelines with release data automatically. Ask your AI agent to diff two releases, surface new issues introduced, and quantify the regression — in seconds.
Large engineering orgs run 10–30 Sentry projects. Getting a cross-project health summary means opening each project dashboard separately, taking screenshots, and stitching together a picture in a slide deck. By the time leadership sees it, it's already outdated.
Query all Sentry projects through one prompt. Your AI agent aggregates error rates, performance budgets, and release health across every project and formats an executive-ready summary in under a minute.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Sentry MCP is a Model Context Protocol server that connects your Sentry error tracking data to AI agents like Claude, ChatGPT, and Gemini. It lets you query errors, performance issues, release health, and alerts in natural language — without logging into the Sentry dashboard or writing scripts.
Issues, events, stack traces, performance transactions, release health, error rate trends, affected user counts, alert rules, and project metadata. Essentially everything accessible via Sentry's REST API is queryable through the AI agent.
Both. Read operations cover querying errors, trends, and performance data. Write operations include assigning issues, updating statuses (resolved, ignored, archived), bulk-resolving issues, and creating or modifying alert rules. Permission scope is controlled by your Sentry API token.
Yes. Improvado's MCP server handles multi-project and multi-organization queries. You can ask a single question that spans all your Sentry projects simultaneously — no need to switch between dashboards or run separate queries per project.
Yes. Improvado stores all API tokens in an encrypted vault certified to SOC 2 Type II. Your AI agent never has direct access to credentials — requests go through Improvado's secure proxy. Prompt injection protection is built in.
Under 60 seconds for Claude Desktop or Cursor users. Add the MCP server URL to your config, authenticate with a Sentry API token, and you're querying. Improvado users already connected to Sentry can start immediately via app.improvado.io/agent.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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