What runtime dependencies does Sentry Mcp require?
Node.js and npm are required to install and run the server.
@Zzzccs123
基本信息
mcp sentry for typescript sdk
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"
]
}
}
}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。
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.
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.
get_sentry_issue tool retrieves and analyzes Sentry issues by ID or URL.sentry-issue prompt template formats issue details as conversation context.Node.js and npm are required to install and run the server.
It uses a Sentry authentication token set via the `SENTRY_AUTH_TOKEN` environment variable.
All data comes from the Sentry API; the server queries your Sentry project and organization.
The server communicates via standard I/O (stdio) and can be debugged with the MCP Inspector over a subprocess.
No limits or rate‑limit details are provided in the README.
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