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

... View full README on GitHub