Workorai

Name: Workorai
Author: work0r-ai

作者：work0r-ai版本 0.4.3i★ –i在云端运行

注册名称io.github.work0r-ai/workorai

安装

概览

作者提供的说明（英文原文）

WorkorAI talent marketplace MCP: candidate job search and employer hiring with explainable matching

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://workorai.com/mcp

在终端中运行这条命令

claude mcp add --transport http workorai https://workorai.com/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "workorai": {
      "url": "https://workorai.com/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "workorai": {
      "type": "http",
      "url": "https://workorai.com/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://workorai.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 work0r-ai 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7266 个服务器的 0%
发布到注册中心的时间比此分类中其他 7266 个服务器的 19% 更新
基础检查结果等于或优于此分类中其他 7266 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Workorai 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.4.3）于4个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

WorkorAI Agent Kit

WorkorAI Agent Kit packages the workorai Agent Skill and a zero-dependency installer for WorkorAI MCP talent marketplace workflows.

It supports both sides of the marketplace through one skill:

Candidates ask prompts like найди мне работу, find me a job, or help me get hired; the skill guides them through onboarding, MCP key setup, and the candidate match tools.
Employers ask prompts like найди кандидатов, hire developers, post a job, or review applicants; the skill walks through the 19-tool employer MCP surface (job lifecycle, candidate discovery, invitations, applicants review).

Both roles share one skill name (workorai) and one credential helper, with role-aware storage slots so a dual-role user can keep both keys.

Install

Install the skill and write MCP config for supported local agents:

npx @workorai/agent-kit install

Install for one client:

npx @workorai/agent-kit install --agent codex

npx @workorai/agent-kit install --agent claude npx @workorai/agent-kit install --agent opencode npx @workorai/agent-kit install --agent cursor npx @workorai/agent-kit install --agent openclaw npx @workorai/agent-kit install --agent qwen npx @workorai/agent-kit install --agent antigravity npx @workorai/agent-kit install --agent deepcode

Use a local development MCP endpoint:

npx @workorai/agent-kit install --endpoint http://127.0.0.1:3001/mcp

For isolated installer tests, set WORKORAI_AGENT_HOME to a temporary directory:

WORKORAI_AGENT_HOME=/tmp/workorai-agent-home npx @workorai/agent-kit install

After install, restart the agent client and ask:

find me a job

What Is Included

skills/workorai/SKILL.md - canonical Agent Skill (thin role router).
skills/workorai/agents/openai.yaml - Codex/OpenAI-style UI metadata.
skills/workorai/references/
candidate-catalog.md - candidate tool mini-schemas
candidate-recipes.md - candidate calling-order recipes (incl. the Agent Pick result presentation)
candidate-troubleshooting.md - candidate-side error scenarios
employer-catalog.md - 19 employer tool mini-schemas
employer-recipes.md - hire / review / lifecycle recipes
employer-troubleshooting.md - employer-side error scenarios
auth-flow.md - candidate and employer onboarding + saved-key flow
troubleshooting.md - cross-role MCP transport / saved-key issues
skills/workorai/scripts/credential-store.mjs - role-aware consent-based local MCP key storage.
bin/workorai-agent.mjs - installer, MCP config writer, diagnostics, and credential command wrapper.

Supported Targets

Agent target	Skill location	MCP config
`codex`	`~/.codex/skills/workorai`	`~/.codex/config.toml`
`claude`	`~/.claude/skills/workorai`	`~/.claude.json`
`opencode`	`~/.config/opencode/skills/workorai`	`~/.config/opencode/config.json`
`cursor`	`~/.cursor/skills/workorai`	Use WorkorAI MCP config supported by your Cursor setup
`openclaw`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`
`qwen`	`~/.qwen/skills/workorai`	Configure MCP according to your Qwen Code setup
`antigravity`	`~/.gemini/antigravity/skills/workorai`	Configure MCP according to your Antigravity setup
`deepcode`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`
`generic`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`

The default install command installs a canonical copy at ~/.agents/skills/workorai and links or copies compatible client locations.

Commands

npx @workorai/agent-kit --help

npx @workorai/agent-kit install --dry-run npx @workorai/agent-kit configure --agent all npx @workorai/agent-kit print-config --agent codex npx @workorai/agent-kit doctor --agent all npx @workorai/agent-kit credential get

Credentials

The skill reads WorkorAI MCP keys role-aware. Default --role is candidate; pass --role=employer for the employer slot.

Candidate read order:

WORKORAI_MCP_API_KEY
OS secret store (account candidate)
Shared local fallback at ~/.config/workorai/mcp-token

Employer read order:

WORKORAI_EMPLOYER_MCP_API_KEY
OS secret store (account employer)
Shared local fallback at ~/.config/workorai/mcp-token-employer

Save with OS storage by default:

npx @workorai/agent-kit credential save                  # candidate (default)

npx @workorai/agent-kit credential save --role=employer

Use best-effort storage for headless agent sessions:

npx @workorai/agent-kit credential save --best-effort --role=candidate

npx @workorai/agent-kit credential save --best-effort --role=employer

Use the shared file fallback only after explicit user consent:

npx @workorai/agent-kit credential save --shared-file --role=<role>

Never put real WorkorAI MCP keys in repositories, screenshots, issue text, or MCP config. Redact keys as wai_[REDACTED].

Skill Hub Compatibility

This repository is structured for direct ingestion by major skill surfaces:

GitHub: readable standalone repository with license, security policy, CI, and contribution docs.
npm: @workorai/agent-kit CLI package for one-command install.
Codex/OpenAI-style skills: canonical folder at skills/workorai plus agents/openai.yaml.
Claude Code: standard SKILL.md folder installable into .claude/skills/ or ~/.claude/skills/.
OpenCode: standard SKILL.md folder installable into .opencode/skills/, ~/.config/opencode/skills/, or Claude-compatible locations.
Cursor: standard SKILL.md folder installable into .cursor/skills/ or ~/.cursor/skills/.
Qwen Code: standard SKILL.md folder installable into .qwen/skills/ or ~/.qwen/skills/.
Antigravity / Gemini Antigravity: standard SKILL.md folder installable into ~/.gemini/antigravity/skills/.
Deep Code / DeepSeek: standard SKILL.md folder installable into .deepcode/skills/ or the shared ~/.agents/skills/.
skills.re and similar registries: root skills/ folder with at least one skill directory.
Cursor/Windsurf-compatible hubs: canonical SKILL.md folder plus generic MCP config notes in registry/.

Submission notes live in registry/submission-checklist.md.

Candidate Onboarding

When personalized MCP access is not available, the skill guides the user through:

Register and sign in: https://workorai.com/candidate/login
Complete profile: https://workorai.com/candidate/profile
Complete the profile interview and wait for evaluation.
Generate or copy the MCP key: https://workorai.com/candidate/home?tab=mcp
Paste the key into the agent session for immediate candidate.search_jobs use.

Employer Onboarding

When the user asks to hire, post jobs, or review candidates, the skill guides them through:

Sign in: https://workorai.com/employer/login
Open the Employer Dashboard and locate the Employer MCP card: https://workorai.com/employer/dashboard
Generate or copy the MCP key from the card.
Paste the key into the agent session for immediate employer.* tool use.
Save with --role=employer for future hiring searches.

The 19 employer tools cover the full hire-to-review lifecycle. See skills/workorai/references/employer-catalog.md for the mini-schemas and skills/workorai/references/employer-recipes.md for the four calling-order recipes (hire from a specific job, free-form hire, funnel review, pending-invites cleanup) plus the job lifecycle (create → publish → close → archive).

Development

npm run validate

npm run smoke npm pack --dry-run

npm run smoke installs into a temporary directory only and does not touch user agent config.

Release

Update CHANGELOG.md.
Run validation, smoke, and npm pack --dry-run.
Tag the GitHub release.
Publish npm:

npm publish --access public

Submit the repository URL to relevant skill hubs using registry/submission-checklist.md.

License

MIT. See LICENSE.