tw-jobs-mcp

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A read-only Model Context Protocol server for Taiwan job boards. It lets Claude, Codex, Gemini, Cursor and any other MCP-capable AI assistant or agent search 104 人力銀行, Yourator and foreign companies' own career sites (Greenhouse, Lever, Workday) for Taiwan job postings and company profiles. More sources may be added later.

Write areas and job categories as plain Chinese names (台北市大安區, 軟體工程師) and the server turns them into 104 codes. No account, no API key.

Unofficial. Not affiliated with or endorsed by 104. It calls 104's public web endpoints. Keep the request rate low and follow 104's terms of use. No job data ships with this project.

Highlights

• Four sources that complement each other: 104 for breadth; Yourator for start-ups and foreign-company offices; career boards (Appier, Ubiquiti, Canonical, Stripe, MongoDB, Pinkoi, Binance and more) for roles that foreign companies post on their own sites and never on 104; and Workday career sites of semiconductor, hardware and pharma employers (NVIDIA, Micron, Applied Materials, KLA, Cisco, Intel, Marvell, NXP, HP, GSK, Novartis and more). Pick one with source, or search them all at once with source="all".
• Six tools, all read-only: search_jobs, get_job, get_company, salary_overview, lookup_code, sources. Every tool carries MCP read-only annotations, which clients that gate tool use can read to skip per-call confirmation.
• Filters that really filter: keyword, area, job category, salary floor (monthly, yearly, daily or hourly), job type, remote, posted in the last 7 days, years of experience, education. Each filter was checked against the live site.
• Chinese names in, codes out: ambiguous names return a list of candidates instead of a wrong guess. lookup_code browses the whole area and category tree level by level.
• Built for capable models: a user speaks plainly and the model does the translating. The schema pins every enumerated value, the server instructions state principles (what each source is, how to prepare keywords in both languages, how to convert units) instead of case lists, and the server only handles what the model cannot see: an ambiguous place name is widened to its close matches, a category that cannot be matched becomes a keyword, paging limits are clamped, and an empty search loosens its optional filters one at a time, then tries the other sources. Every assumption is listed in a note under the results.
• Finds the posting you half remember: a ranked 104 search is reordered by how many of your words the title and company cover, which put the intended posting first in 35 of 40 trial searches, up from 18 with 104's own order. Searching several sources ranks the merged rows the same way.
• Chains together: every search result carries id and company_id, so an agent can go posting → details → company without extra lookups.
• Salary market view: salary_overview summarises pay (median, quartiles, min, max) over a sample of postings, grouped by pay unit.
• Frugal with context: replies are compact text, not JSON. A page of 20 postings is a 20-line table of about 2,000 characters (under a fifth of the same data as compact JSON), and the six tool definitions total about 2,000 characters. Long texts are clipped unless you ask for full. Set TW_JOBS_FORMAT=json for the complete structured data.
• Clean results: the two paid postings 104 pins to the top of every page are always removed.
• Polite by design: one request per second, responses cached for five minutes.
• Several ways to run: stdio for local clients, streamable HTTP for remote ones, a Dockerfile and a Claude Desktop .mcpb bundle.

Install

Requires uv. The commands below fetch the server from PyPI and run it; nothing is installed permanently. To try the unreleased code instead, use uvx --from git+https://github.com/HsuanC0921/tw-jobs-mcp tw-jobs-mcp.

Claude Code

claude mcp add tw-jobs -s user -- uvx tw-jobs-mcp

OpenAI Codex CLI

codex mcp add tw-jobs -- uvx tw-jobs-mcp

or edit ~/.codex/config.toml:

[mcp_servers.tw-jobs]
command = "uvx"
args = ["tw-jobs-mcp"]
startup_timeout_sec = 60   # the first run downloads dependencies

Claude Desktop

Download tw-jobs-mcp-<version>.mcpb from Releases and open it, or add the JSON below to claude_desktop_config.json.

Gemini CLI, Cursor, Windsurf, Cline and other mcpServers clients

Add to ~/.gemini/settings.json, ~/.cursor/mcp.json (or .cursor/mcp.json), Windsurf's mcp_config.json, or the client's equivalent:

{
  "mcpServers": {
    "tw-jobs": {
      "command": "uvx",
      "args": ["tw-jobs-mcp"]
    }
  }
}

VS Code (GitHub Copilot)

.vscode/mcp.json uses servers and needs a type:

{
  "servers": {
    "tw-jobs": {
      "type": "stdio",
      "command": "uvx",
      "args": ["tw-jobs-mcp"]
    }
  }
}

Remote (HTTP) and Docker

Clients that connect by URL, or a server shared inside a team:

uvx tw-jobs-mcp --transport streamable-http --port 8000
# endpoint: http://127.0.0.1:8000/mcp

docker build -t tw-jobs-mcp .
docker run --rm -p 8000:8000 tw-jobs-mcp

claude mcp add --transport http tw-jobs http://127.0.0.1:8000/mcp
codex mcp add tw-jobs --url http://127.0.0.1:8000/mcp

The HTTP server has no authentication. Keep it on localhost or a private network, or put an authenticating reverse proxy in front of it.

From a clone

git clone https://github.com/HsuanC0921/tw-jobs-mcp
cd tw-jobs-mcp
claude mcp add tw-jobs -- uv run --project "$PWD" tw-jobs-mcp

Agent skill

The server already tells a model how to use it. The skill in skills/tw-jobs goes further for agents that load skills: how to turn a plain request into arguments, which source to pick, how to read the notes, and what to report. It follows the open Agent Skills format.

• Claude Code: install the plugin, which bundles the server and the skill: /plugin marketplace add HsuanC0921/tw-jobs-mcp, then /plugin install tw-jobs@tw-jobs-mcp. Or copy skills/tw-jobs to ~/.claude/skills/.
• Codex and other skill-aware agents: copy skills/tw-jobs to ~/.agents/skills/ (or .agents/skills/ in a repository).

Tools

search_jobs arguments (all optional):

Sources

source picks where to search. Result ids say where a posting lives, and get_job / get_company route on them: a bare id is 104, y: is Yourator, g: and l: are Greenhouse and Lever boards, w: is Workday. Pass ids back exactly as listed.

Filters a source cannot apply are named in a 註：…未套用 line under the table, so nothing is silently ignored. salary_overview and lookup_code are 104-only.

Add boards with TW_JOBS_BOARDS, e.g. g:gitlab,l:kraken,-g:stripe (g: Greenhouse, l: Lever, a leading - removes one). A board without Taiwan roles simply returns nothing.

TW_JOBS_WORKDAY does the same for Workday: acme.wd1/External,-micron (tenant.wdN/site, a leading - removes). Each Workday search reads only the first 60 rows per company, so narrow deep searches with a keyword. These are the same unauthenticated calls the companies' own career pages make; check each company's terms before heavy use.

Left out on purpose: 1111 (same kind of board as 104, smaller), Cake (Cloudflare challenge on every request) and LinkedIn (its terms prohibit automated access).

Examples

Find .NET backend jobs in Taipei paying at least 50,000 a month, and tell me what the market pays.

I have two years of experience. Show remote backend postings in New Taipei, read the top three, and compare the companies.

search_jobs(keyword="後端工程師", area=["台北市"])
共 1716 筆，第 1/86 頁
id|company_id|職稱|公司|薪資|地點|學歷|技能|刊登
8mve7|1a2x6bmz67|後端工程師|途銳資訊股份有限公司|月45000~70000|台北市南港區|專科~碩士|PHP/MySQL/AWS/Linux/Git|10-02
…

Configuration

How it works

104 sits behind Cloudflare, which answers ordinary HTTP clients with a 403. curl_cffi sends the TLS fingerprint of a real Chrome instead, which gets through. Area and category names are resolved locally against 104's public code tables (src/tw_jobs_mcp/j104/data/).

Limits, on purpose

• Read-only. No login, applying or bookmarking. Handing an AI your job-board password is not worth the risk.
• No company-name search. 104 puts a Cloudflare challenge in front of that endpoint. Reach companies through the company_id on postings.
• salary_overview is a sample of the most relevant postings, not a census, and many postings do not publish pay (undisclosed_share).

Development

uv sync
uv run pytest                  # offline: unit tests plus stdio and HTTP protocol tests
uv run pytest -m live          # against the real 104 site
uv run python scripts/update_codes.py   # refresh the area and category tables

License

MIT. Provided as is, without warranty.