Context7
Up-to-date docs for AI agents
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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 …”。
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。
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。
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
注册名称已通过 GitHub 账户 tanmayagrawal21 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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)。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
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 needwriting.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.
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.
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
uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp doctor
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].
| Area | What you get |
|---|---|
| Discovery | Parallel search over Greenhouse, Lever, Ashby, SmartRecruiters, Workday and JobSpy boards, paginated |
| Policy gates | Skip by sponsorship, citizenship, clearance, experience, graduation window, salary floor, employer patterns |
| Runs | run_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 |
| Applying | Platform API where possible, browser driver otherwise, generic LLM-assisted adapter for other sites |
| Local LLM routing | Complexity-scored tiers (small/medium/large/narrative), fallbacks, optional cloud, your MCP client as last resort |
| Profile builder | Collects 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 |
| Authorization | Per-country facts ([authorization] for your home_country, [authorization. ] for others); no default country, and unknown countries stay unresolved |
| Writing | Cover letters and answers with style rules, banned phrases and gap-avoidance checks |
| Provenance | Every generated text is recorded and can be verified or edited by you |
| Dedupe | Store of applications plus optional confirmation-email ingest so you never apply twice |
| Control layer | Quotas, mode switch, attestation and recipient guards, prose lint, prompt-injection screen |
| Transports | stdio (default) and streamable HTTP with bearer token |
| Operations | init, doctor, Dockerfile, CI on Linux/macOS/Windows |
Every posting in a run_applications / run_report result has exactly one status, with a why where useful (ADR-0049):
| Status | Meaning |
|---|---|
submitted | Live submit sent; a confirmation may follow |
confirmed | Reconciliation confirmed the submission |
dry_run_ok | Dry 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_human | You must act; why says what (unresolved fields, review gate, awaiting approval, verification code) |
quota_blocked | A daily, per-platform or per-run quota refused the live submit; nothing was sent |
skipped | Not attempted; why says why (policy, duplicate, prose not approved yet, max_applications reached) |
unsupported_site | No enabled adapter handles the host |
unknown | Outcome unclear (for example a roadblock after the click); verify by hand |
failed | An 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.
dry_run = true unless you change it; init always writes it.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).apply_enabled kill switch. Add your own rules in controls.toml.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).[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.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).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.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.[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.
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).
只显示了开头部分;其余内容请在仓库中阅读