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by codyde • Analytics & Monitoring
An MCP server that lets AI assistants interact with the Sentry API to retrieve and analyze errors, manage projects, and monitor application performance.
Fetch and summarize Sentry issues and events to triage errors automatically.
Create or configure Sentry projects and retrieve client keys for onboarding instrumentation.
List and filter organization replays or project events to correlate user sessions with errors.
This MCP server exposes tools for accessing Sentry: listing projects, resolving issues by short ID, fetching and analyzing events, listing project issues and events, creating projects, and listing organization replays. It requires a Sentry authentication token and can be run locally with Node.js/ts-node; the README includes example configuration for integration with Claude and IDEs. The server includes error handling for missing tokens, API failures, invalid parameters, and network errors to aid robust agent usage. It is useful for automating incident investigation and integrating Sentry data into agent workflows.
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