Integrate the Sentry Model Context Protocol (MCP) server with Atomicwork to give your AI Coworkers, automated workflows, and coding agents secure access to your Sentry environment. Once connected, your AI Workforce can interact with Sentry to inspect issues, analyze traces, triage errors, and manage projects directly from your workspace. This integration helps your team automate incident diagnostics and speed up resolution times.
Verify access requirements
Before you begin the setup, ensure that you meet the following access requirements:
Atomicwork admin access: You need organization administrator permissions in Atomicwork to access the MCP Store.
Sentry admin access: You need administrator access in Sentry to authorize the secure OAuth connection.
Connect the Sentry MCP server
The integration uses a secure OAuth flow to establish a connection. During setup, the Sentry consent page appears first, followed by the username and password sign-in.
Follow these steps to establish the connection:
Navigate to Settings, select MCP Store, and click on the Sentry tile.
Click Connect.
Review and accept the requested permissions on the Sentry consent screen.
Log in with your Sentry administrator credentials (username and password) to authorize the connection.
Once the setup is complete, a full list of all available Sentry tools will be displayed on your screen. The exact tools available depend on your software platform and can be updated according to your organization's preferences.
Understand consent screen permissions
The Sentry consent screen groups permissions into six checked categories. These permissions enable your AI Coworkers to execute specific actions:
Permission group | Description | Tool count |
Inspect Issues & Events | Search for errors, analyze traces, and explore event details | 19 tools |
Seer | Sentry's AI debugger that helps you analyze, root cause, and fix issues | 9 tools |
Documentation | Search and read Sentry SDK documentation | 5 tools |
Triage Issues | Resolve, assign, and update issues | 13 tools |
Manage Projects & Teams | Create and modify projects, teams, and DSNs | 9 tools |
Preprod Snapshots | Inspect visual regression snapshot tests from CI — view changed images and diff masks | 7 tools |
Configure tool access for AI Coworkers
After completing the setup, you can control which tools your AI Coworkers can use. To maintain a secure workspace, we recommend following the principle of least privilege and granting only the minimum necessary capabilities.
Navigate to AI Workforce, select AI Coworkers, and then click Tools.
Select the specific AI Coworker you want to configure. For more details on configuring your AI Coworkers, see Setting up an AI Coworker.
Grant granular or complete access to the available Sentry tools based on your requirements.
In addition to standard AI Coworkers, the AI workflow builder and the coding agent automatically have access to the Sentry MCP server while building workflows and writing code scripts respectively.
Explore available tool capabilities
The Sentry MCP server provides a wide range of capabilities. These tools are summarized into the following broad categories:
Issue and event inspection: Search errors, analyze traces, and explore event details.
Seer AI debugging: Analyze, root-cause, and fix issues using Sentry's AI debugger.
Documentation: Search and read Sentry SDK documentation.
Triage actions: Resolve, assign, and update issues.
Project and team administration: Create and modify projects, teams, DSNs, and member roles.
Releases and deploys: Create and track releases, deploys, and release files.
Alerts and monitors: Create, update, and retrieve alerts and monitors.
Replays: Retrieve and analyze session replays and recording segments.
Dashboards and discover queries: Create and manage organization dashboards and discover queries.
Integrations, webhooks, and SCIM: Manage external integrations, webhook configurations, and SCIM groups.
Preprod snapshots: Inspect visual regression snapshot tests from CI.
Explore next steps
Now that you have connected Sentry, you can explore other developer-focused MCP servers like the GitHub MCP server or the Jira MCP server. If you are comparing observability integrations, see our guide on how to connect the New Relic MCP server.