Debugg Ai MCP
未认领Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.
安装
docker run -i --rm --init -e DEBUGGAI_API_KEY=your_api_key quinnosha/debugg-ai-mcp更多Search & Web服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
13 个工具中显示 13 个
文档中列出的工具 (13)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
auth.username
/ auth.password — pins the precondition login when you also use auth.precondition: "login".
check_app_in_browser
Runs an AI browser agent against your app. The agent navigates, interacts, and reports back with screenshots. Localhost URLs are auto-tunneled via ngrok.
create_project
project {action:"create"}
environment
tool, action: "clearSessions" — invalidate the stored sessions so subsequent runs log in. Narrow with username / credentialId; unscoped clears require confirmation because every account on the environment then re-authenticates.
executions
probe_page
Lightweight no-LLM batch page probe. Pass 1-20 URLs; each navigates, settles on content (the DOM going quiet, bounded — never on network silence, which a live app never reaches), and returns rendered state — screenshot + page metadata + structured console errors + network summary. No agent loop, no
project
search_environments
environment {action:"get"} / {action:"list"}
search_executions
executions {action:"get"\
search_projects
project {action:"get"} / project {action:"list"}
test_case
test_suite
trigger_crawl
Fires a server-side browser-agent crawl to populate the project's knowledge graph. Localhost URLs tunnel automatically. Returns {executionId, status, targetUrl, durationMs, outcome?, crawlSummary?, knowledgeGraph?, browserSession?} with knowledgeGraph.imported === true on successful ingestion. The b