原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Worklittle Jobs

作者:worklittle版本 1.1.0i★ –i在云端运行
注册名称io.github.worklittle/jobs

安装

概览

作者提供的说明(英文原文)

Find jobs near you. Search over 4 million openings by role, place, pay, visa and more.

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。

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

你需要

你用的是哪个应用?

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.worklittle.com/

在终端中运行这条命令

claude mcp add --transport http jobs https://mcp.worklittle.com/

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": {
    "jobs": {
      "url": "https://mcp.worklittle.com/"
    }
  }
}

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": {
    "jobs": {
      "type": "http",
      "url": "https://mcp.worklittle.com/"
    }
  }
}

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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.worklittle.com/

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

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • search_jobs

    Jobs — Opens the Worklittle jobs MAP for a place and an optional role. This is a map query, not a list of jobs: the map recenters on the place and shows jobs there, so send the place and the role as SEPARATE fields. Never write 'product manager in San Francisco' as one query. PLA

  • search_companies

    Jobs — Search the Worklittle market company index by name or slug (ranked typeahead). Returns id, name, slug, logo_url, and enrichment fields for employers with open jobs. Use when the user names an employer and you need a real slug/id for search_jobs company= filters, job alerts

  • get_job_details

    Jobs — Fetch detailed information about a specific job, including full responsibilities, qualifications, and company details. Pass job_id from search_jobs when you have one. If the user asks for full details of a role without an id (e.g. the first software engineer job in Austin)

  • get_market_overview

    Jobs — Returns aggregate job-market statistics from Worklittle. Call with no args for the full indexed market (counts, workplace mix, top hiring companies). When the user names a role and/or city (e.g. product managers in San Francisco), pass query and location. The filtered slic

  • track_applied_job

    Jobs — Add a job to the user's Applied or Saved list, or change its status, so they can find it later.

  • get_my_profile

    Jobs — Get the user's Worklittle profile (name, location, contact details and job preferences). If they have not linked their account it returns connected false; use get_my_resume or apply_for_job to sign them in.

  • list_recent_chats

    Jobs — List the user's recent Worklittle chats (title and status) for the app sidebar.

  • mint_mcp_ui_embed_session

    Jobs — Create a sign-in link so the Worklittle app can open the user's chats on worklittle.com.

  • logout_connected_account

    Jobs — Sign the user out of Worklittle in this app.

  • upload_my_resume

    Jobs — Save the resume the user attached in the chat (PDF, Word, text or image) as the main resume on their Worklittle profile so it can be used to apply. It replaces the current main resume; other saved resumes (an account keeps up to 5) stay. Pass the attached file as resume_fi

  • get_my_resume

    Jobs — Get the user's main resume: its status (ready, processing or missing) and, when ready, the resume text and profile details read from it. Use it to tailor advice or an application to the user's real experience.

  • delete_my_resume

    Jobs — Delete the user's main resume from their profile. Other saved resumes stay.

  • update_my_profile

    Jobs — Update the user's Worklittle profile, such as name, location, phone, links or the kind of job they want. Only send the fields to change.

  • apply_for_job

    Jobs — Apply to a job for the user: Worklittle fills out and submits the application in a browser. Pass job_id from search_jobs. For a Worklittle-hosted posting also include name, email and resume. It submits by default; pass auto_submit false when the user wants to review first,

  • check_application_status

    Jobs — Check an application Worklittle is filling out: its status, which form fields are filled, and a live view link. Only the status completed means it was submitted.

  • submit_application

    Jobs — Send an application that stopped for review (apply_for_job with auto_submit false, status awaiting_submit). Call it only after the user has seen the answers from check_application_status and said to send it.

  • stop_application

    Jobs — Stop an application that Worklittle is filling out for the user. This cancels the application in progress and it cannot be resumed; the user would have to start it again. Needs the session_id from apply_for_job or list_active_applications.

  • steer_application

    Jobs — Change what an application in progress fills in, without stopping it. Use when the user says something about an application Worklittle is filling right now ("say my notice period is one month", "my friend Ana Ruiz referred me", "I need visa sponsorship for the US", "make t

  • save_about_me

    Jobs — Save standing facts about the user that Worklittle's Apply with AI uses on every future application: work authorization and visa sponsorship by country, relocation, notice period, desired salary, languages, qualifications, who referred them, or other standing answers they

  • list_active_applications

    Jobs — List the user's applications that Worklittle is filling out right now (queued, running, or waiting on the user), with job_id and session_id. Use it to find which one to stop or check.

  • list_applications

    Jobs — List applications: pending ones (matched by auto-apply, waiting for approval, running, or waiting on the user) and finished ones (completed = submitted, failed, stopped). Check it before applying so the same job is never applied to twice. Filter with status (pending, appli

  • get_apply_settings

    Jobs — Get the user's apply settings: auto_apply (Worklittle applies to matching jobs on its own), auto_submit (submit without a review stop) and tailor_resume (tailor the resume to each job).

  • update_apply_settings

    Jobs — Turn auto_apply, auto_submit or tailor_resume on or off. Only send the settings to change. Turning auto_apply on needs Instant or a card on file.

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9日

  • ! 注意

    作者与仓库一致

    发布者(worklittle)不是仓库所有者(worklittle);可能是其他人代为上架的

  • … 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

  • ✓ 通过

    端点有响应

    在 122 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 23 个工具描述,未发现针对 AI 的隐藏指令

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 5760 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5760 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 5760 个服务器的 40%

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

Worklittle Jobs 安全吗?

它在 3 项适用的基础检查中通过了 2 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(1.1.0)于35天前进入注册中心。

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:↓ 每周下载量i★ 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

Up-to-date docs for AI agents

作者:upstash广泛使用↓ 97.3万/周★ 6.4万3天前更新

电脑或云端

Codebase Memory

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

作者:DeusData广泛使用↓ 1.8万/周★ 4.8万23天前更新

在你的电脑上运行

Exa

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

作者:exa-labs广泛使用★ 52132个月前更新

在云端运行✓ exa.ai

作者的 README

仓库中没有找到 README

问 PopNx