概览
主要功能
- 错误管理
- 部署跟踪
- 性能洞察
- 用户监控
- 团队协作
- 度量标准和分析
价格
- 模型
- Free
- 分类
- 服务配缩器
- 评分
- 暂无评价
使用场景
错误调查
调查、解决和跟踪应用程序错误和崩溃与全栈跟踪日志和上下文
性能分析
分析页面加载时间、用户指标和性能趋势
优点 & 缺点
优点
- 通过自然语言对话与Raygun数据相兼容
- 提供错误管理和调查能力
- 提供性能洞察和用户监控
缺点
- 需要 Raygun 帐户和 PAT
- 在 AI 助手集成中有限的功能
评测
登录以留下评测。
暂无评测。来当第一个吧!
问答
What are the main limitations of this tool?
It only works if you have a valid Raygun subscription and PAT; without those it cannot function. Additionally, its capabilities are limited to the features exposed by Raygun’s API and require an AI assistant integration to perform conversations.
Asked by Vincenzo Greco · Oct 11, 2025
What kinds of data can I query through natural‑language conversations?
You can list and search applications, retrieve detailed application info, generate new API keys, investigate errors with stack traces, track deployments, analyze performance trends, monitor user sessions, and collaborate on error resolution with team analytics and metrics.
Asked by Paloma Ruiz · Oct 7, 2025
Which AI assistants can I connect the Raygun MCP server to?
The server supports popular assistants such as Claude, Cline, Codex, Gemini, VS Code AI Assistant, and JetBrains AI Assistant. Each has its own configuration snippet where you add the Raygun transport and the Authorization header with your PAT.
Asked by Yaw Owusu · Oct 3, 2025
What do I need to use the Raygun MCP server?
You must have a Raygun account with an active subscription and a Personal Access Token (PAT). The server is hosted at https://api.raygun.com/v3/mcp and requires you to insert your PAT in the configuration for your chosen AI assistant.
Asked by Ludovic Girard · Aug 22, 2025
提问
服务配缩器 的替代品

开源MCP服务器,利用_playwright让LLM控制真实的浏览器以及可访问性快照

Python agent 框架由 Pydantic 团队开发,用于构建类型安全的 GenAI 应用。

自适应的记忆层,帮助AI智能体从上下文中学习

AI 邮箱助手,帮助您更快地达到 inbox zero。

开源式24小时设备屏幕和音频录制,适合构建依赖实况人工智能(AI)应用

用于构建和编排带有工具、内存和多智能体工作流的AI智能体的TypeScript库。

把无银行的 onchain API 带入 MCP

带少分享系兿司上字詰級下合存号来皅




