Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Job search and form filling; dry run by default, real submits need your approval or consent.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"applywise": {
"command": "uvx",
"args": [
"applywise"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add applywise -- uvx applywise프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"applywise": {
"command": "uvx",
"args": [
"applywise"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"applywise": {
"type": "stdio",
"command": "uvx",
"args": [
"applywise"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 tanmayagrawal21 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 15일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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).
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요