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).
@squidlerio
基本信息
Model Context Protocol (MCP) server that connects AI assistants like Claude to Squidler's accessibility and quality checking platform
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"
}
}
}
}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。
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.
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.
Generate your API token from [squidler.io/integrations/api-keys](https://squidler.io/integrations/api-keys).
The server uses HTTP transport with the URL `https://mcp.squidler.io` and requires an Authorization header with a Bearer token.
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.
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.
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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