sentry-mcp

Name: sentry-mcp
Author: getsentry

@getsentry

代码仓库主页

关于 sentry-mcp

An MCP server for interacting with Sentry via LLMs.

#tag-production #mcp-server

基本信息

分类

开发工具

许可证

NOASSERTION

运行时

node

传输方式

stdio

发布者

getsentry

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": "npx",
      "args": [
        "@sentry/mcp-server@latest",
        "--access-token=sentry-user-token"
      ]
    }
  }
}

工具

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概览

What is sentry-mcp?

Sentry's MCP service is a remote MCP server that acts as middleware to the upstream Sentry API, designed for human-in-the-loop coding agents. It is optimized for developer workflows and debugging use cases, and works with coding assistants like Cursor, Claude Code, and similar development tools.

How to use sentry-mcp?

The simplest way is to use the deployed service at https://mcp.sentry.dev. For Claude Code, install as a plugin: claude plugin marketplace add getsentry/sentry-mcp then claude plugin install sentry-mcp@sentry-mcp. For stdio transport, run npx @sentry/mcp-server@latest --access-token=sentry-user-token with optional --host for self-hosted instances and --insecure-http for plain HTTP. Remote clients can connect via a JSON configuration with a Sentry-Bearer header or through OAuth.

Key features of sentry-mcp

Acts as middleware to the upstream Sentry API.
Designed for developer debugging workflows and coding agents.
Supports Claude Code plugin with automatic subagent delegation.
AI-powered search tools for natural language queries.
Stdio transport for self-hosted Sentry instances.
OAuth and direct token authentication mechanisms.

Use cases of sentry-mcp

Debugging Sentry errors, issues, traces, and performance from within a coding assistant.
Using natural language to search Sentry events and issues via AI-powered tools.
Integrating Sentry data into Claude Code, Cursor, or similar development tools.
Monitoring and triaging errors on self-hosted Sentry deployments.

FAQ from sentry-mcp

What is sentry-mcp and how is it different from the general Sentry API?

Sentry-mcp is a remote MCP server that acts as middleware to the Sentry API, optimized for human-in-the-loop coding agents. Its tool selection and priorities are focused on developer workflows and debugging, not providing general-purpose Sentry functionality.

What are the runtime requirements for AI-powered search tools?

AI-powered search tools (search_events, search_issues, etc.) require an LLM provider (OpenAI, Azure OpenAI, Anthropic, or OpenRouter) and the EMBEDDED_AGENT_PROVIDER environment variable set explicitly. Without a configured provider, these specific tools are unavailable, but all other tools function normally.

How does data flow and authentication work for the remote transport?

The remote transport uses a Cloudflare worker that forwards the upstream Sentry API token via a custom Sentry-Bearer header. The worker does not store, validate, exchange, or refresh the token; the client or upstream provider remains responsible for token lifetime and refresh. OAuth is also supported.

Can I run sentry-mcp with self-hosted Sentry?

Yes. Use the stdio transport with the --host flag pointing to your self-hosted hostname. Add --insecure-http if the deployment only exposes plain HTTP. Some features (like Seer) may not be available; you can disable specific skills with --disable-skills=seer.

What transports and authentication methods are supported?

Sentry-mcp supports a remote transport (via Cloudflare) with OAuth or a direct Sentry token (via a Sentry-Bearer header), and a stdio transport using a Sentry user auth token. Additionally, it can be installed as a Claude Code plugin.

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