MCP server for retrieving issues from sentry.io
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# mcp-sentry: A Sentry MCP server ## Overview A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account. ### Tools 1. `get_sentry_issue` - Retrieve and analyze a Sentry issue by ID or URL - Input: - `issue_id_or_url` (string): Sentry issue ID or URL to analyze - Returns: Issue details including: - Title - Issue ID - Status - Level - First seen timestamp - Last seen timestamp - Event count - Full stacktrace 2. `get_list_issues` - Retrieve and analyze Sentry issues by project slug - Input: - `project_slug` (string): Sentry project slug to analyze - `organization_slug` (string): Sentry organization slug to analyze - Returns: List of issues with details including: - Title - Issue ID - Status - Level - First seen timestamp - Last seen timestamp - Event count - Basic issue information ### Prompts 1. `sentry-issue` - Retrieve issue details from Sentry - Input: - `issue_id_or_url` (string): Sentry issue ID or URL - Returns: Formatted issue details as conversation context ## Installation ### Using uv (recommended) When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-sentry*. ### Using PIP Alternatively you can install `mcp-sentry` via pip: ``` pip install mcp-sentry ``` or use uv ``` uv pip install -e . ``` After installation, you can run it as a script using: ``` python -m mcp_sentry ``` ## Configuration ### Usage with Claude Desktop Add this to your `claude_desktop_config.json`: <details> <summary>Using uvx</summary> ```json "mcpServers": { "sentry": { "command": "uvx", "args": ["mcp-sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLU…
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