How do I set up Tesults MCP?
Set the `TESULTS_API_TOKEN` environment variable with your Tesults API token.

@tesults
基本信息
Ask your AI agent why your tests are failing. Instant analysis on failures and regressions.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"tesults": {
"command": "npx",
"args": [
"tesults-mcp"
],
"env": {
"TESULTS_API_TOKEN": "<YOUR_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,在临时沙箱中运行此服务器并实时获取工具列表。
Tesults MCP connects AI agents to your test automation results, enabling plain-language analysis of test failures and regressions. Designed for developers and QA engineers, it works with popular testing frameworks like Playwright, Jest, Pytest, Cypress, and JUnit.
Set the TESULTS_API_TOKEN environment variable with your Tesults API token, then invoke the server to let your AI agent query test results for failures, regressions, and run comparisons.
Set the `TESULTS_API_TOKEN` environment variable with your Tesults API token.
It works with Playwright, Jest, Pytest, Cypress, JUnit, and more.
You can ask for plain-language explanations of failures, identification of regressions, what issues are resolved or continuing to fail, and comparisons between runs.
It only requires the Tesults API token; no other authentication or transport setup is mentioned in the documentation.

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