Sentry
Type: server
Category: research-and-data
Author: modelcontextprotocol
Language: Python
Tags: sentry,error-tracking,issue-analysis
Description: Retrieving and analyzing issues from Sentry.io
Tools:
[{"name":"get_sentry_issue","description":"Retrieve and analyze a Sentry issue by ID or URL. Use this tool when you need to:\n                - Investigate production errors and crashes\n                - Access detailed stacktraces from Sentry\n                - Analyze error patterns and frequencies\n                - Get information about when issues first/last occurred\n                - Review error counts and status","inputSchema":{"type":"object","properties":{"issue_id_or_url":{"description":"Sentry issue ID or URL to analyze","type":"string"}},"required":["issue_id_or_url"]}}]
Server command: docker exec -i mcp-uv bash -c "uvx mcp-server-sentry --auth-token={AUTH_TOKEN}"
Server configuration:
{
"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
}