Sentry MCP Server

Overview

Sentry MCP Server provides a structured interface for retrieving and analyzing issue data from Sentry.io through the Model Context Protocol. This implementation enables AI assistants to access error reports, stacktraces, and debugging information directly from Sentry accounts. The server simplifies the process of examining software issues by providing tools that extract and format relevant error data, making it easier to diagnose and resolve application problems.

Features

• Comprehensive Issue Retrieval: Access detailed error reports using issue IDs or URLs
• Stacktrace Analysis: Examine complete stacktraces to identify error sources
• Multiple Data Points: View issue titles, status, severity levels, and timestamps
• Event Tracking: Monitor occurrence counts and patterns over time
• Formatted Results: Receive structured data ready for analysis
• Flexible Installation Options: Choose between uv/uvx, pip, or Docker deployment
• Multi-Platform Support: Compatible with Claude Desktop and Zed environments

Use cases

• Debugging complex application errors with complete context
• Monitoring application health through error pattern analysis
• Investigating crash reports with detailed stacktrace information
• Analyzing error frequency and impact across time periods
• Incorporating error data into development workflows
• Enabling AI assistants to help troubleshoot software issues
• Creating automated issue triage and prioritization systems
• Supporting development teams with contextual error information

Tools

• get_sentry_issue: Retrieves and analyzes Sentry issues with comprehensive details including title, ID, status, level, timestamps, event count, and full stacktrace
• sentry-issue: Provides formatted issue details as conversation context

Integration complexity

3/5 - Moderate complexity requiring Sentry authentication token and basic configuration choices.

Setup Guide

Using uvx (Recommended)

Add to your claude_desktop_config.json:

"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

Using Docker

Add to your claude_desktop_config.json:

"mcpServers": {
  "sentry": {
    "command": "docker",
    "args": [
      "run",
      "-i",
      "--rm",
      "mcp/sentry",
      "--auth-token",
      "YOUR_SENTRY_TOKEN"
    ]
  }
}

Using pip

1. Install the package:

pip install mcp-server-sentry

2. Add to your claude_desktop_config.json:

"mcpServers": {
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

License

MIT License