MCP server for retrieving issues from sentry.io
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-mcp-100-mcp-sentry","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# mcp-sentry: A Sentry MCP server [](https://smithery.ai/server/@qianniuspace/mcp-sentry) ## 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 ### Installing via Smithery To install mcp-sentry for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@qianniuspace/mcp-sentry): ```bash npx -y @smithery/cli install @qianniuspace/mcp-sentry --client claude ``` ### 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 installatio…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.