MCP server for searching 104 (Taiwan) job listings with natural-language filters
Project description
job104-mcp
An MCP server for searching 104 人力銀行 job listings with natural-language filters. Works with any MCP client — Claude, Cursor, Windsurf, Cline, Zed, VS Code, and others.
Disclaimer: This is an unofficial, educational/personal-use tool. It is not affiliated with, endorsed by, or sponsored by 104 Corporation. It calls 104's public web endpoints; please respect 104's Terms of Service and use it at a reasonable, low frequency. No scraped job data is distributed with this project.
How it works
104 sits behind Cloudflare bot protection — a plain HTTP request to its JSON API
returns 403. This server uses curl_cffi
with impersonate="chrome" to match a real browser's TLS fingerprint, so the same
public endpoints return their normal JSON. The AI sees clean structured results; the
104 category/area codes are resolved from Chinese names automatically.
Prerequisite: install uv
Every install path runs the server through uv, so it must
be installed first (uvx ships with uv):
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Install in any MCP client (Cursor, Windsurf, Cline, Zed, VS Code, …)
MCP is an open protocol, so any MCP-capable client works — not just Claude. Add this to
the client's MCP config (e.g. Cursor's ~/.cursor/mcp.json); the command/args form is
what most clients accept:
{
"mcpServers": {
"job104": { "command": "uvx", "args": ["job104-mcp@latest"] }
}
}
Install in Claude Code
claude mcp add job104 -- uvx job104-mcp@latest
Or from a local clone (no PyPI required):
claude mcp add job104 -- uv run --project /absolute/path/to/job104-mcp -m job104_mcp
Install in Claude Desktop (.mcpb bundle)
The .mcpb bundle is a Claude-Desktop-only convenience (other clients use the JSON config
above). Download job104-mcp-vX.Y.Z.mcpb from the
Releases page and double-click it (or drag
it into Claude Desktop → Settings → Extensions).
To build the bundle yourself:
npx @anthropic-ai/mcpb pack . # produces job104-mcp.mcpb
Run manually (stdio)
uv run job104-mcp
# or
uv run python -m job104_mcp
Tools
search_jobs— search with keyword, area, job category, salary floor, remote, recency, experience, education, sort, paging. Use Chinese names forarea/jobcat(e.g.["台北市大安區"],["軟體工程師"]); they resolve to 104 codes automatically. Each result carries adetail_id.get_job_detail— full posting for adetail_idfromsearch_jobs.lookup_code— resolve a job-category or area name to its 104 code.
Refresh code tables
The bundled jobcat.json / area.json come from 104's public category tool. Regenerate:
uv run python scripts/fetch_codes.py
Tests
uv run pytest # fast unit tests
uv run pytest -m live # hits the real 104 site
Releasing (maintainer)
Releases are automated by .github/workflows/release.yml, triggered when the
version in pyproject.toml changes on main. It publishes to PyPI, builds the
.mcpb bundle, and attaches it to a GitHub Release.
One-time PyPI setup (uses Trusted Publishing,
no API token stored): on https://pypi.org/manage/account/publishing/ add a pending
publisher with project job104-mcp, owner mozzan, repo job104-mcp, workflow
release.yml.
To cut a release: bump version in pyproject.toml, commit to main.
License
MIT — see LICENSE. Provided as-is, without warranty.
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