sentry-issues-mcp
@Leee62
About sentry-issues-mcp
Enable your LLM to retrieve and analyze Sentry issues by ID or URL, helping you quickly understand and address errors in your projects. Easily fetch individual issues or lists of issues to empower intelligent diagnostics and recommendations. Simplify Sentry issue management with
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"sentry-issue-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"sentry-issues-mcp@latest"
],
"env": {
"SENTRY_HOST": "<your_sentry_host>",
"SENTRY_ORG": "<your_sentry_org>",
"SENTRY_PROJ": "<your_sentry_proj>",
"SENTRY_USER_TOKEN": "<your_sentry_user_token>"
}
}
}
}Tools
2get issue event by inputting sentry issue event url or sentry issue event id
get issue events by inputting sentry organization id or slug and sentry project name or slug
Overview
What is sentry-issues-mcp?
sentry-issues-mcp is a lightweight MCP (Model Context Protocol) server that provides two tools to retrieve individual Sentry issues or a list of issues. It is designed for developers and operations teams who want LLMs to analyze Sentry error data directly, without leaving the chat interface.
How to use sentry-issues-mcp?
Configure it in your MCP client using the provided JSON snippet, setting the environment variables SENTRY_HOST, SENTRY_ORG, SENTRY_PROJ, and SENTRY_USER_TOKEN. Run the server via npx -y sentry-issues-mcp@latest. Then invoke the get-issue tool (requires a URL or ID, plus optional organization) or get-issues tool (requires a project ID or slug, plus optional organization) through any LLM that supports tool calling.
Key features of sentry-issues-mcp
- Simple to set up and use
- Two straightforward tools: get-issue and get-issues
- Supports retrieving issues by URL or ID
- Requires only environment variable configuration
- Designed for LLM‑driven error analysis
Use cases of sentry-issues-mcp
- Ask an LLM to analyze a specific Sentry issue and suggest root causes and fixes.
- Ask an LLM to retrieve the most dangerous issues from the last 24 hours and explain each.
- Integrate error investigation into AI‑powered workflows without switching to the Sent
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