What are the runtime requirements?
The server requires Python and can be run via `uvx` or pip. A Sentry authentication token, project slug, and organization slug are needed for configuration.
@MCP-100
基本情報
A Model Context Protocol server for retrieving and analyzing issues from Sentry.io
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-sentry": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@qianniuspace/mcp-sentry",
"--client",
"claude"
]
}
}
}`issue_id_or_url` (string): Sentry issue ID or URL to analyze
Issue details including:
`project_slug` (string): Sentry project slug to analyze
List of issues with details including:
mcp-sentry is a Model Context Protocol server for retrieving and analyzing issues from Sentry.io. It provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account, aimed at developers using Sentry for error monitoring.
Install via Smithery, uv (uvx), or pip. Configure with your Sentry auth token, project slug, and organization slug in your MCP client (e.g., Claude Desktop or Zed). Invoke the server using the commands specified in the configuration, and use the tools get_sentry_issue and get_list_issues or the prompt sentry-issue to retrieve Sentry issue data.
The server requires Python and can be run via `uvx` or pip. A Sentry authentication token, project slug, and organization slug are needed for configuration.
Data is retrieved from your Sentry.io account; the server acts as a bridge and does not store data locally.
The server uses the standard MCP stdio transport, invoked via command-line arguments.
Authentication is done by passing your Sentry auth token as a command-line argument (`--auth-token`).
The README does not mention any specific limitations.

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