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SmartBear/smartbear-mcp

SmartBear/smartbear-mcp

SmartBear's official MCP Server
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

SmartBear MCP server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. This server exposes SmartBear's APIs through natural language interfaces, allowing you to query your testing data, analyze performance metrics, and manage test automation directly from your AI workflow.
Supported Tools
See individual guides for suggested prompts and supported tools and resources:
- BearQ - AI-powered QA test management and execution capabilities
- BugSnag - Comprehensive error monitoring and debugging capabilities
- Reflect - Test management and execution capabilities
- **Swagger**
- Portal - Portal and product management capabilities
- Studio - API and Domain management capabilities, including AI-powered API generation from prompts and automatic standardization
- Contract Testing (PactFlow) - Contract testing capabilities
- Functional Testing - API test discovery capabilities
- QMetry - QMetry Test Management capabilities
- Zephyr - Zephyr Test Management capabilities
- Collaborator - Review and Remote System Configuration management capabilities
- QTM4J - QTM4J Test Management for Jira capabilities
Remote MCP Servers
For BugSnag, Swagger, and Zephyr, SmartBear hosts Remote MCP Servers that you can connect to directly from your MCP client via a URL — no installation, Node.js, or API tokens required. Authentication is handled through an OAuth browser flow.
| Product | Server URL |
|---|---|
| **Swagger** | https://swagger.mcp.smartbear.com/mcp |
| **BugSnag** | https://bugsnag.mcp.smartbear.com/mcp |
| **Zephyr** | https://zephyr.mcp.smartbear.com/mcp |
See the Remote MCP Servers guide for per-client setup instructions. You can connect to multiple remote servers at the same time.
> **Need BearQ, Reflect, QMetry, QTM4J, PactFlow, Collaborator, or Functional Testing?** These products are only available via the local npm package below, which bundles all products into a single MCP server.
Prerequisites
- Node.js 22+ and npm
- Access to SmartBear products (BugSnag, Reflect, Swagger, QMetry, QTM4J or Zephyr)
- Valid API tokens for the products you want to integrate
Local MCP Server Installation (npm)
For all products — or if you prefer running the server locally — the MCP server is distributed as an npm package @smartbear/mcp, making it easy to integrate into your development workflow.
The server is started with the API key or auth token that you use with your SmartBear product(s). They are optional and can be removed from your configuration if you aren't using the product. For BugSnag, if you provide a project API key it will narrow down all searches to a single project in your BugSnag dashboard. Leave this field blank if you wish to interact across multiple projects at a time.
VS Code with Copilot
For the quickest setup, use the "MCP: Add server…" command in the Command Palette to add the @smartbear/mcp npm package.
来源
awesome · https://github.com/SmartBear/smartbear-mcp
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