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Squidler.io MCP Server

@squidlerio

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

squidlerio

提交者

Mattias Ask

关于 Squidler.io MCP Server

Model Context Protocol (MCP) server that connects AI assistants like Claude to Squidler's accessibility and quality checking platform

#testing#development#web-app

Squidler.io MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "squidler": {
      "transport": "http",
      "url": "https://mcp.squidler.io",
      "headers": {
        "Authorization": "Bearer YOUR_SQUIDLER_API_TOKEN"
      }
    }
  }
}

Squidler.io MCP Server 工具

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。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Squidler.io?

Squidler.io validates web apps as a human would, using natural language use cases without brittle DOM-dependent tests. It enables AI coding agents to analyze their own work from a user perspective and close the autonomous Build → Verify → Fix loop.

How to use Squidler.io?

Add the MCP server to your client configuration with transport http, URL https://mcp.squidler.io, and an Authorization: Bearer YOUR_SQUIDLER_API_TOKEN header. Get your API token from squidler.io/integrations/api-keys. The server includes built-in agent guidance that teaches a Test-After-Feature workflow, so the agent automatically knows how to use Squidler.

Key features of Squidler.io

  • Natural language test case creation via guided conversation
  • Site-bound and standalone (repo-stored) test case workflows
  • Persona UX reviews with actionable findings
  • Problem tracking and resolution for site issues
  • Label-based test catalog organization and filtering
  • Long-poll test execution status and event retrieval

Use cases of Squidler.io

  • AI coding agent builds a feature, then describes the use case in natural language for Squidler to test it.
  • Agent reviews test run outcomes and events to fix bugs or update obsolete tests.
  • Build a growing catalog of tests organized by feature to prevent regressions.
  • Run standalone test cases against a local dev server using a Chrome proxy.
  • Manage test case lifecycle from creation to promotion to site-bound storage.

常见问题

1

How do I get an API token for Squidler.io?

Generate your API token from [squidler.io/integrations/api-keys](https://squidler.io/integrations/api-keys).

2

What transport does the MCP server use?

The server uses HTTP transport with the URL `https://mcp.squidler.io` and requires an Authorization header with a Bearer token.

3

What is the built-in Test-After-Feature Workflow?

The server teaches agents to run existing tests, investigate failures, label the feature, cover the new feature with test cases, and confirm all tests pass before moving on.

4

What is the difference between site-bound and standalone test cases?

Site-bound test cases are stored on Squidler and created with site context. Standalone test cases are produced as markdown files for the agent to manage in its repo, useful for local dev iteration.

5

How do I run a test case against a local development server?

Use the `test_case_run_standalone` tool with a custom `baseUrl` (e.g., `http://localhost:<port>`) and pair it with the `@squidlerio/squidler-mcp` npx proxy to route runs through a local Chrome.

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