Sentry MCP Server

@Zzzccs123

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

Zzzccs123

提交者

zhengcansheng12759

关于 Sentry MCP Server

mcp sentry for typescript sdk

#sentry #mcp

Sentry MCP Server 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-mcp": {
      "command": "node",
      "args": [
        "mcp-server/sentry/dist/index.js"
      ]
    }
  }
}

Sentry MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Sentry Mcp?

Sentry Mcp is a Model Context Protocol (MCP) server implemented in TypeScript that connects AI models to the Sentry error tracking service. It allows AI models to query and analyze error reports and events on Sentry.

How to use Sentry Mcp?

Install dependencies with npm install, build the project with npm run build, and run the server via standard I/O using node dist/index.js. Set the required environment variable SENTRY_AUTH_TOKEN (and optionally SENTRY_ORGANIZATION_SLUG, SENTRY_PROJECT_SLUG, SENTRY_BASE_URL) in a .env file or at runtime. Debug with the MCP Inspector using npx @modelcontextprotocol/inspector node dist/index.js.

Key features of Sentry Mcp

get_sentry_issue tool retrieves and analyzes Sentry issues by ID or URL.
sentry-issue prompt template formats issue details as conversation context.
Returns issue title, ID, status, level, first/last seen timestamps, event count, and complete stack trace.
Configuration via environment variables with fallback to runtime values.

Use cases of Sentry Mcp

Automatically retrieve and explain a specific Sentry error during a debugging conversation.
Provide structured issue details as context for an AI assistant to suggest fixes.
Integrate Sentry error analysis into AI‑powered developer workflows.

常见问题

What runtime dependencies does Sentry Mcp require?

Node.js and npm are required to install and run the server.

How is Sentry Mcp authenticated with Sentry?

It uses a Sentry authentication token set via the `SENTRY_AUTH_TOKEN` environment variable.

Where does the data retrieved by Sentry Mcp come from?

All data comes from the Sentry API; the server queries your Sentry project and organization.

What transport does Sentry Mcp use?

The server communicates via standard I/O (stdio) and can be debugged with the MCP Inspector over a subprocess.

Are there any known limits mentioned in the documentation?

No limits or rate‑limit details are provided in the README.

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