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Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
Sequa.AI 是 ChatHome Skills 收录的 MCP 条目，来源为 Docker MCP Registry，质量分 100/100。 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 Sequa.AI 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。
docker run -i --rm mcp/sequa运行此命令前，请先核对上游源码。
{
"raw": "name: sequa\nimage: mcp/sequa\ntype: server\nmeta:\n category: devops\n tags:\n - search\n - ai\n - devops\nabout:\n title: Sequa.AI\n description: Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.\n icon: https://avatars.githubusercontent.com/u/187640573?v=4\nsource:\n project: https://github.com/sequa-ai/sequa-mcp\n branch: main\n commit: 7ae4b43b37aa6c2f7820ef49333ec67d2e20d06f\nconfig:\n description: Configure the connection to Sequa.AI\n secrets:\n - name: sequa.api_key\n env: API_KEY\n example: your_sequa_api_key\n env:\n - name: MCP_SERVER_URL\n example: https://mcp.sequa.ai/v1/setup-example\n value: \"{{sequa.mcp_server_url}}\"\n parameters:\n type: object\n properties:\n mcp_server_url:\n type: string\n",
"path": "servers/sequa/server.yaml"
}