@sentry/mcp-server

Exposes Sentry's REST API error events through the Model Context Protocol, allowing LLM agents to query and retrieve error data without direct API calls. Implements MCP resource handlers that translate Sentry API responses into structured, LLM-consumable formats with pagination support for large result sets.

Implements MCP tool handlers for creating, updating, and resolving Sentry issues programmatically. Translates agent tool calls into Sentry API mutations with validation and error handling, enabling autonomous workflows to triage and manage issues without manual intervention.

Exposes Sentry release and deployment data as MCP resources, allowing agents to correlate errors with specific code releases, deployments, and environments. Implements resource handlers that fetch release metadata, associated commits, and deployment history for context-aware error analysis.

Exposes Sentry organization structure, projects, and team membership as MCP resources, enabling agents to discover available monitoring contexts and route errors to appropriate teams. Implements resource handlers that cache and serve hierarchical organization data for efficient agent navigation.

Exposes Sentry alert rules, notification settings, and integration configurations as MCP resources, allowing agents to understand alerting policies and notification channels. Implements resource handlers that fetch alert rule definitions and their associated actions for context in error analysis workflows.

Implements the MCP server-side protocol handler with built-in Sentry API authentication, request routing, and error handling. Uses Node.js MCP SDK to expose Sentry capabilities through standardized MCP messages (resources, tools, prompts) with automatic credential management and API error translation.

Exposes Sentry's error statistics, frequency trends, and aggregated metrics as MCP resources, allowing agents to analyze error patterns over time. Implements resource handlers that fetch error counts, first/last seen timestamps, and user impact metrics for trend-based decision making.

Exposes Sentry's source map and debug symbol data as MCP resources, allowing agents to access symbolicated stack traces and source code context. Implements resource handlers that fetch source maps, retrieve original source locations, and provide code snippets for error analysis.