Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Instaffo Server

БесплатноНе проверен

Enables AI assistants to interact with your personal Instaffo candidate account, allowing reading of profile, job suggestions, and conversations, as well as per

GitHubEmbed

Описание

Enables AI assistants to interact with your personal Instaffo candidate account, allowing reading of profile, job suggestions, and conversations, as well as performing reversible write actions like bookmarking jobs and updating skills, all authenticated via your browser session and running fully locally.

README

An MCP server that gives an AI assistant access to your own Instaffo candidate account, authenticated with your own browser session. Personal job-search tooling. Runs fully local.

Instaffo is a two-sided recruiting marketplace (candidates are matched with companies). This server exposes the candidate side: read your profile and job suggestions, read conversations, and perform reversible write actions, from an MCP client.

How it works

Instaffo has no public candidate API, so the server authenticates with a real logged-in session. Its candidate web app talks to a clean JSON API under app.instaffo.com/candidate/api/v1/*, authenticated purely by the session cookie (no bearer token). So the server is a thin cookie-authenticated httpx client, not a scraper. A browser (via patchright) is used only once, to mint the session at login.

MCP client ── stdio ──> instaffo-mcp-server ──cookie──> app.instaffo.com JSON API
                              │
                     storage-state.json  (cookies, written 0600, git-ignored)
                              ▲
                     instaffo-mcp --login  (one-time browser sign-in)

Setup

uv sync
uv run patchright install chromium     # one-time, for login only
uv run instaffo-mcp --login            # opens a browser; sign in once
uv run instaffo-mcp --auth-status      # confirm the session is stored

Register it with your MCP client (stdio):

{
  "command": "uv",
  "args": ["run", "--directory", "/path/to/instaffo-mcp-server", "instaffo-mcp"]
}

Tools

Reads (no side effects):

Tool What it returns
instaffo_whoami your identity (name, email, job title)
instaffo_get_profile your profile: seniority, location, skills, CV summary
instaffo_list_job_suggestions your current matches, with counters
instaffo_get_job_suggestion one role in full: description, requirements, salary, screening questions
instaffo_list_conversations company requests (inbound interest) and your applications
instaffo_auth_status is a session present (--deep validates it live)

Writes (every write tool takes confirm; without it you get a preview and nothing changes):

Tool Effect Endpoint
instaffo_save_job bookmark a suggestion (reversible) POST .../job_suggestions/{uuid}/favorite
instaffo_unsave_job remove a bookmark DELETE .../job_suggestions/{uuid}/favorite
instaffo_set_skill_experience set your years per skill on your profile POST .../experience_durations/bulk_save

All endpoints above are verified against the live API.

Supervised, on purpose: apply and message

Two actions are intentionally not implemented as fire-and-forget tools: applying to a job, and messaging a recruiter.

Applying is not one request. It is a multi-step wizard that writes lasting self-representations to your real profile before it submits:

  1. a skill self-assessment (year sliders per required skill, e.g. 0-5), which auto-saves to your profile via experience_durations/bulk_save,
  2. your salary expectation (pre-filled from your profile),
  3. an "AI tools you use" and "AI skills" multi-select,
  4. a final submit that creates the application and opens a chat with the recruiter.

Because those are real, outward-facing choices about how you present yourself, and the final submit endpoint only appears once the whole flow is completed, the apply and message tools are left for a supervised session where the account owner approves the inputs. They are not built against a guessed endpoint. The observed sub-steps and wizard shape are recorded here so that session is quick.

Commands

instaffo-mcp                 # run the MCP server (stdio)
instaffo-mcp --login         # headed manual login, persist the session
instaffo-mcp --capture       # record app API traffic to a JSONL (diagnostics)
instaffo-mcp --auth-status [--deep]

Security and privacy

  • Session material (profile/, storage-state.json, captures/, .env) lives under ~/.instaffo-mcp, is written 0600, and is git-ignored. It is never committed.
  • Write tools are confirm-gated and only touch reversible surfaces.
  • This is a personal, local tool for your own account. It stores no one else's data and talks only to Instaffo with your own session.

Prior art

The session-capture and browser patterns are adapted in spirit from stickerdaniel/linkedin-mcp-server (Apache-2.0), which authenticates a personal LinkedIn session the same way.

from github.com/esinecan/instaffo-mcp-server

Установка Instaffo Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/esinecan/instaffo-mcp-server

FAQ

Instaffo Server MCP бесплатный?

Да, Instaffo Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Instaffo Server?

Нет, Instaffo Server работает без API-ключей и переменных окружения.

Instaffo Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Instaffo Server в Claude Desktop, Claude Code или Cursor?

Открой Instaffo Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Instaffo Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории browse