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Sentry

@javaDer

代码仓库

关于 Sentry

暂无概览

#mcp-sentry#sentry-server#error-analysis

基本信息

分类

开发工具

传输方式

stdio

发布者

javaDer

提交者

Mac Jack Jack

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "sentry": {
      "command": "uvx",
      "args": [
        "mcp-sentry-custom",
        "--auth-token",
        "YOUR_SENTRY_TOKEN",
        "--project-slug",
        "YOUR_PROJECT_SLUG",
        "--organization-slug",
        "YOUR_ORGANIZATION_SLUG",
        "--sentry-url",
        "YOUR_SENTRY_URL"
      ]
    }
  }
}

工具

2

Retrieve and analyze a Sentry issue by ID or URL. Use this tool when you need to: - Investigate production errors and crashes - Access detailed stacktraces from Sentry - Analyze error patterns and frequencies - Get information about when issues first/last occurred - Review error counts and status

Retrieve and analyze Sentry issues by project slug. Use this tool when you need to: - Investigate production errors and crashes - Access detailed stacktraces from Sentry - Analyze error patterns and frequencies - Get information about when issues first/last occurred - Review error counts and status

概览

What is Sentry?

Sentry is an MCP server that retrieves and analyzes issues from Sentry.io or self-hosted Sentry instances. It provides tools to inspect error reports, stack traces, and other debugging information directly from your Sentry account.

How to use Sentry?

Install the server via Smithery, uv, pip, or Docker. Configure it with your Sentry authentication token, project slug, organization slug, and Sentry URL. Use it with Claude Desktop or Zed by adding the appropriate configuration to claude_desktop_config.json or Zed's settings.json.

Key features of Sentry

  • Retrieve a specific Sentry issue by ID or URL
  • List all issues for a given project and organization
  • Detailed issue information including stack trace and event count
  • Formatted issue details via a prompt for conversation context
  • Supports both Sentry.io and self‑hosted Sentry instances
  • Compatible with multiple MCP clients (Claude Desktop, Zed)

Use cases of Sentry

  • Debug an application error by fetching its full stack trace from Sentry
  • Quickly review recent issues in a project during a development session
  • Integrate Sentry issue details into an AI assistant’s conversation context
  • Automate issue triage by pulling structured data into an MCP‑enabled tool

FAQ from Sentry

What does Sentry require to run?

You need a Sentry authentication token, a project slug, an organization slug, and the URL of your Sentry instance (either Sentry.io or self‑hosted). The server can be run via uvx, pip, or Docker.

How do I install Sentry?

Install via Smithery (npx -y @smithery/cli install @javaDer/mcp-sentry-custom), run directly with uvx, install via pip, or use a Docker container. All methods are documented in the README.

Where does Sentry store my data?

Sentry does not store any data locally; it retrieves issue information directly from your Sentry account (Sentry.io or self‑hosted) each time you use it.

What transport or authentication does Sentry use?

Sentry uses standard MCP transport (stdio). Authentication is handled via the provided --auth-token parameter. No OAuth or additional auth flows are documented.

Are there any known limits or restrictions?

The README does not mention any specific limits. It is a fork of the official sentry server from the modelcontextprotocol/servers repository.

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