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Test analytics for AI agents: test history, flaky tests, failure clusters, coverage.
Gaffer 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 73/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Gaffer 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
npx -y @gaffer-sh/mcp@0.9.0运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-08-11T13:01:23.835673Z",
"publishedAt": "2026-08-11T13:01:23.835673Z",
"statusChangedAt": "2026-08-11T13:01:23.835673Z"
}
},
"server": {
"name": "sh.gaffer/mcp",
"title": "Gaffer",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.9.0",
"packages": [
{
"version": "0.9.0",
"transport": {
"type": "stdio"
},
"identifier": "@gaffer-sh/mcp",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"environmentVariables": [
{
"name": "GAFFER_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "API key from Account Settings > API Keys. gaf_ user key or gfr_ project token."
},
{
"name": "GAFFER_API_URL",
"format": "string",
"description": "Override the Gaffer API base URL. Defaults to https://app.gaffer.sh"
}
]
}
],
"repository": {
"url": "https://github.com/gaffer-sh/mcp",
"source": "github"
},
"websiteUrl": "https://gaffer.sh/docs/mcp/",
"description": "Test analytics for AI agents: test history, flaky tests, failure clusters, coverage."
}
}