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

ApplyWise

作者:tanmayagrawal21版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.tanmayagrawal21/applywise

安装

概览

作者提供的说明(英文原文)

Job search and form filling; dry run by default, real submits need your approval or consent.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 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
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "applywise": {
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add applywise -- uvx applywise

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": {
    "applywise": {
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

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": {
    "applywise": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 tanmayagrawal21 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

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 5653 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5653 个服务器的 72% 更新
  • 基础检查结果等于或优于此分类中其他 5653 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

ApplyWise 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?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于15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。你的电脑上还需要有 Python (uv)。

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★ 5,213MIT2个月前更新
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。

job-apply-mcp (ApplyWise)

An MCP server that finds jobs and fills applications for you, and stops before anything irreversible. It is modular (pluggable platforms, LLM providers, browser drivers), parallel, token-frugal (compact, paginated output) and local-first (routine form fields go to Ollama, LM Studio or MLX on your machine; only hard prose escalates). Works with any MCP client on macOS, Linux and Windows.

[!WARNING]

Alpha. Field results from the first live dogfooding run (one user, one night, ~330 discovered postings):

search, ranking, dedupe and planning work end to end, and the browser driver now fills and verifies

complete Greenhouse and Lever forms, but no application has yet been submitted unattended. Most

Greenhouse boards are reCAPTCHA-protected, so the tool fills the form and hands the final click to you

(handoff), which is the intended behaviour. Free-text questions need writing.reviewer = "router" (local strict

review) to go out without you. Expect rough edges; every irreversible step is gated, logged and

never retried when the outcome is uncertain.

Install as a Claude Code plugin

The repository is also a Claude Code plugin marketplace. The applywise plugin starts the MCP server for you (pinned to a reviewed version) and adds a skill that tells Claude how to use the tools safely:

claude plugin marketplace add tanmayagrawal21/job-apply-mcp

claude plugin install applywise@applywise

Then run init and doctor from the quickstart below in your own terminal, and check /mcp for plugin:applywise:applywise. The same safety model applies: dry run by default, a human approves every real submit, and visible CAPTCHAs always come back to you; logins, codes and account creation stay with you unless you open a consent window yourself (safety model, items 7 and 8). To update, run claude plugin update applywise@applywise. How releases and the version pin work: docs/release.md.

5-minute quickstart

You need uv (or pipx). No clone required.

# 1. Create config.toml, profile.toml, controls.toml (asks a few questions; --yes to skip them)

uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp init

2. Put your real details in the profile it printed the path of, then check everything

uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp doctor

3. Add the printed snippet to your MCP client (guides for ten clients: docs/clients/)

claude mcp add --transport stdio job-apply -- uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp

Then ask your assistant: "search jobs at greenhouse:examplecorp for data roles, plan the best one, and do a dry run." Everything is a dry run until you set dry_run = false.

Install alternatives: pipx install git+https://github.com/tanmayagrawal21/job-apply-mcp (then the command is just job-apply-mcp), or pip install into a virtualenv. After the first PyPI release, uvx applywise (the PyPI distribution is applywise; the job-apply-mcp command stays as an alias). Optional extras: [browser] (Playwright), [agent], [jobspy], [mlx], [hf], [litellm], [keyring].

Features

AreaWhat you get
DiscoveryParallel search over Greenhouse, Lever, Ashby, SmartRecruiters, Workday and JobSpy boards, paginated
Policy gatesSkip by sponsorship, citizenship, clearance, experience, graduation window, salary floor, employer patterns
Runsrun_applications / job-apply-mcp run: links you pass, job links you emailed yourself (read-only mail) and discovery in one run, a run report and feedback applied to the next run
ApplyingPlatform API where possible, browser driver otherwise, generic LLM-assisted adapter for other sites
Local LLM routingComplexity-scored tiers (small/medium/large/narrative), fallbacks, optional cloud, your MCP client as last resort
Profile builderCollects the questions your profile could not answer, ranks them, and asks you (profile_questions, answer_profile_question, job-apply-mcp profile ask); the model never supplies an answer
AuthorizationPer-country facts ([authorization] for your home_country, [authorization. ] for others); no default country, and unknown countries stay unresolved
WritingCover letters and answers with style rules, banned phrases and gap-avoidance checks
ProvenanceEvery generated text is recorded and can be verified or edited by you
DedupeStore of applications plus optional confirmation-email ingest so you never apply twice
Control layerQuotas, mode switch, attestation and recipient guards, prose lint, prompt-injection screen
Transportsstdio (default) and streamable HTTP with bearer token
Operationsinit, doctor, Dockerfile, CI on Linux/macOS/Windows
Run statuses

Every posting in a run_applications / run_report result has exactly one status, with a why where useful (ADR-0049):

StatusMeaning
submittedLive submit sent; a confirmation may follow
confirmedReconciliation confirmed the submission
dry_run_okDry run complete: a live run would submit it (see live_preview for quotas; the row's captcha mode says whether a captcha would stop it: docs/tools.md)
needs_humanYou must act; why says what (unresolved fields, review gate, awaiting approval, verification code)
quota_blockedA daily, per-platform or per-run quota refused the live submit; nothing was sent
skippedNot attempted; why says why (policy, duplicate, prose not approved yet, max_applications reached)
unsupported_siteNo enabled adapter handles the host
unknownOutcome unclear (for example a roadblock after the click); verify by hand
failedAn error

max_applications (a whole number >= 1) caps the eligible postings a run handles (ready to submit, or needing you), the same in dry and live mode; skipped and unsupported postings do not count. A dry run also returns live_preview with what the current live quotas would allow. Live submits also count against the daily (25 per rolling 24 h), per-platform (10) and per-run (10) limits; a user config can lower or raise them.

Safety model

  1. Dry-run by default. dry_run = true unless you change it; init always writes it.
  2. Approval tokens. plan_application returns a token bound to a hash of the exact answers. A real submit needs that token, so what you reviewed is what is sent (apply.auto_approve turns this off; do not).
  3. Control layer. Independent checks run before every side effect: daily and per-run quotas, single-submit guard, recipient deny-list, prose lint, page-text injection screen, apply_enabled kill switch. Add your own rules in controls.toml.
  4. Hard stops. Visible CAPTCHA challenges and attestation checkboxes matching policy.stop_phrases (for example "no AI used") always return needs_human. They are not configurable away. Verification codes are entered only when the USER types them, confirms a granted prefill (ADR-0026/0027), or consented to unattended runs from a terminal (item 8). Account creation is off by default; it needs accounts.auto_create = true in your own user config file AND an open credentials consent window (ADR-0046).
  5. No invented facts. Answers come from your profile or are marked; unresolved required fields stop the run. Autonomy level (ADR-0052). [answers] autonomy in your own user config decides what the agent may assume when you are not available: strict (default: every unresolved field waits for you), safe_default (decline contact/marketing permission, the configured "how did you hear" default, "decline to self-identify"), or infer (also skill/experience questions about a tool or technology, answered from your resume: Yes only when it clearly says so, otherwise No; willingness, availability, location and terms questions are never inferred). Authorization/visa/identity, background and other screening, accommodation, recording, attestations, legal agreements and employment terms, salary without a policy, start date and location facts are never assumed. Every assumed answer is labelled (assumed, plan, evidence, run report); after promote_after (3) assumptions of one question you are asked once and your answer is reused. A project file or env var can only make the level stricter. init asks which level to use; control_status shows it.
  6. Privacy. Profile and secrets stay on your machine, are never committed, and API keys are read only from the environment. See SECURITY.md.
  7. Credentials never reach the model. ATS logins live in the OS keychain (job-apply-mcp vault add --username U, password prompted without echo). The browser fills them straight into the page; MCP exposes only vault_status (hosts, never secrets). At most 2 sign-in attempts per host per run; a lockout or wrong password stops that host (ADR-0046).
  8. Consent window (optional, ADR-0048). job-apply-mcp consent --for 24h (or --per-run, --max N, --scopes ...) is typed once, in a terminal, per period you choose. Inside the window submissions are approved automatically (logged with the consent id), a page whose only bot check is an invisible widget is submitted with one click, and an emailed code is read from the newest message of the expected sender and entered once. Unattended codes stay off until verification.trusted_authserv_ids lists your own mail server's Authentication-Results id (user config only), so a spoofed sender cannot supply a code. You review the results afterwards (list_applications). consent --revoke ends it; consent_status (MCP) is read-only and no tool can create one.
  9. Owner-only questions (ADR-0050). Contact, messaging and marketing permissions (SMS, WhatsApp, calls, email, job alerts, talent community) are never answered Yes; only your own optin: answer applies, and only to a single, plain permission question. Otherwise they stay with you, or are declined (labelled assumed) at answers.autonomy = "safe_default" or "infer" (item 5). Authorization and sponsorship come only from structured per-country facts.
  10. You make the final click (optional, ADR-0058). Set [browser] final_click = "human" with headless = false. The agent fills and verifies each form, brings the tab to the front, and never clicks Submit. You click. A watcher reads the page every 3 s, for up to human_click_timeout_s (900 s by default), and records the submission once the site shows its success page. run_applications then hands you one filled tab at a time. The setting only tightens: any config layer can set human, and only your own user config can switch it back to agent.

Known limitation: Ashby with reCAPTCHA Enterprise. Ashby forms protected by reCAPTCHA Enterprise silently reject or challenge automated submit clicks, even when the widget is invisible. Use final_click = "human" for these postings.

Transports

job-apply-mcp                                                  # stdio (what clients launch)

job-apply-mcp --transport http --host 127.0.0.1 --port 8765 # http://127.0.0.1:8765/mcp JOB_APPLY_MCP_TOKEN=... job-apply-mcp --transport http --host 0.0.0.0 # non-local: token required

HTTP binds loopback by default; any other address refuses to start without JOB_APPLY_MCP_TOKEN (Authorization: Bearer ...). Use a TLS reverse proxy for network access. A Dockerfile is included (no browser by default; --build-arg BROWSER=1 adds Playwright and Chromium).

Do

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