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Find jobs, tailor your resume to each role and apply on Workday, Greenhouse, Lever, Ashby and more.
Tsenta: AI job application agent 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 100/100。 本目录收录的仓库是 tsenta/tsenta-mcp。下面的命令是来源记录的原文，并不能证明每个客户端都能一键完成安装。MCP 服务器向客户端暴露可调用的工具；agent 技能是一组可复用的指令。此条目是MCP 服务器。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。在将 Tsenta: AI job application agent 加入生产 agent 工作流前，请核对仓库推送日期和仓库状态——下方事实快照是最近一次抓取的时点值。
mcp add com.tsenta/tsenta https://api.autojobs.me/api/v1/mcp下面的命令是来源记录的原文，并不能证明每个客户端都能一键完成安装。
运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-11-05T11:37:25.664386Z",
"publishedAt": "2026-11-05T11:37:25.664386Z",
"statusChangedAt": "2026-11-05T11:37:25.664386Z"
}
},
"server": {
"name": "com.tsenta/tsenta",
"icons": [
{
"src": "https://tsenta.com/icon.png",
"sizes": [
"500x500"
],
"mimeType": "image/png"
}
],
"title": "Tsenta: AI job application agent",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://api.autojobs.me/api/v1/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"repository": {
"id": "1446645168",
"url": "https://github.com/tsenta/tsenta-mcp",
"source": "github"
},
"websiteUrl": "https://tsenta.com/mcp",
"description": "Find jobs, tailor your resume to each role and apply on Workday, Greenhouse, Lever, Ashby and more."
}
}