AutoSpectra MCP Server

@samuelvinay91

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

samuelvinay91

关于 AutoSpectra MCP Server

A powerful browser automation and testing server using the Model Context Protocol (MCP). Enables AI agents to control browsers, generate tests, and perform accessibility testing with cloud integration.

AutoSpectra MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

AutoSpectra MCP Server 工具

工具列表暂未提供

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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 AutoSpectra MCP Server?

AutoSpectra MCP Server is a comprehensive MCP (Model Context Protocol) server that provides browser automation, API testing, debugging tools, and mock services for any AI agent. It integrates with AI platforms such as Claude, ChatGPT, Gemini, and Perplexity.

How to use AutoSpectra MCP Server?

Clone the repository, run npm install and npm build, create a .env file with required variables (e.g., ANTHROPIC_API_KEY), then start the server with npm start or npm run dev. Use the use_mcp_tool function in your MCP-compatible system with the server name "autospectra" and tool names like navigate, click, api_request, or debug_test.

Key features of AutoSpectra MCP Server

Browser automation (navigate, click, type, screenshot)
API testing tools (HTTP/GraphQL requests, schema validation, mock APIs)
Testing framework (end-to-end, accessibility, visual validation)
Interactive debugging with step-by-step execution
Self-healing selectors that adapt to UI changes
Visible browser mode for debugging or headless efficiency
Claude Computer Use integration

Use cases of AutoSpectra MCP Server

Automate web browsing tasks (login flows, data extraction)
Test REST and GraphQL APIs with schema validation
Debug test scripts interactively by setting breakpoints
Run end-to-end, accessibility, or visual validation tests
Create mock APIs for development or testing

常见问题

What is AutoSpectra MCP Server and how does it compare to alternatives?

AutoSpectra is an all-in-one MCP server offering browser automation, API testing, debugging, and mock services. It is designed to work with any MCP-compatible AI agent, including Claude, ChatGPT, Gemini, and Perplexity.

What are the runtime requirements?

The server requires Node.js, npm, and Playwright. A `.env` file with variables like `ANTHROPIC_API_KEY` is needed for some integrations.

Where does data and output live?

Output files (e.g., screenshots) are saved to the directory specified by the `OUTPUT_DIR` environment variable, which defaults to `./output`.

How do I start the server in different modes?

Use `npm start` for normal mode or `npm run dev` for development mode. Docker support is also available (`npm run docker:build` and `npm run docker:run`).

What transport and authentication does it use?

The server uses the MCP protocol for communication. Authentication is required via the `ANTHROPIC_API_KEY` for certain features; other configurations are set via environment variables.

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