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seco-labor-mcp

by malkreide

🇨🇭 Part of the Swiss Public Data MCP Portfolio

SECO Labor Market MCP Server

Version CI PyPI Python 3.11+ MCP No Auth Required License: MIT

🌐 English | Deutsch

An MCP (Model Context Protocol) server for Swiss labor market data from SECO (Staatssekretariat für Wirtschaft) and AMSTAT via opendata.swiss.


Overview

This server connects AI models to Swiss labor market statistics — unemployment rates, job seekers, open positions, youth unemployment, and occupational breakdowns — all without requiring an API key.

Primary audiences:

  • 🏫 Schulamt / Education planning — youth unemployment, vocational guidance data

  • 📊 Research & analysis — labor market trends, cantonal comparisons

  • 🤖 AI agents — automated labor market monitoring and reporting

Anchor query:
"Welche Berufsgruppen haben im Kanton Zürich die höchste Jugendarbeitslosigkeit, und welche Lehrberufe unterliegen der Stellenmeldepflicht?" → More use cases by audience →


Related MCP server: mcp-destatis

Data Sources (Phase 1 — No Auth Required)

Source

Description

Status

opendata.swiss

CKAN catalogue; the pinned BFS table T3.3.0.1 carries the SECO annual series

✅ Live

arbeit.swiss

Monthly press reports (PDF, structured URL pattern)

✅ Live

amstat.ch

AMSTAT reference portal

⚠️ JavaScript SPA, no public REST API

unfallstatistik.ch

Unfallstatistik UVG (SSUV/KSUV c/o Suva) — occupational accidents and diseases

⚠️ PDF only, no API (see below)


Architecture

┌─────────────────────────────────────────────────────┐
│                  seco-labor-mcp                     │
│                                                     │
│  ┌─────────────┐    ┌──────────────────────────┐   │
│  │  FastMCP    │    │      9 MCP Tools         │   │
│  │  Server     │◄──►│  seco_search_datasets    │   │
│  │  (stdio /   │    │  seco_get_dataset        │   │
│  │   SSE)      │    │  seco_get_unemployment_* │   │
│  └─────────────┘    │  seco_get_youth_*        │   │
│         │           │  seco_get_job_seekers    │   │
│         ▼           │  seco_get_open_positions │   │
│  ┌─────────────┐    │  seco_get_monthly_url    │   │
│  │  httpx      │    │  seco_list_cantons       │   │
│  │  async      │    └──────────────────────────┘   │
│  └──────┬──────┘                                   │
└─────────┼───────────────────────────────────────────┘
          │
          ▼
  ┌───────────────────────────────────┐
  │  opendata.swiss CKAN API          │
  │  https://opendata.swiss/api/3/    │
  │  action/package_search            │
  │  action/package_show              │
  └───────────┬───────────────────────┘
              │
              ▼
  ┌───────────────────────────────────┐
  │  SECO Data Resources              │
  │  CSV / XLSX / PDF Downloads       │
  │  (monthly labor market data)      │
  └───────────────────────────────────┘

Where the figures come from — and what is missing

SECO is no longer a publisher on opendata.swiss. Verified 2026-08-14: organization_show returns 404, and none of the 176 entries in organization_list is SECO. Until then the server filtered every search on that organisation and therefore returned nothing — a name lookup that misses looks exactly like an empty search.

The registered unemployed and job seekers are still SECO's figures: the BFS publishes them in table T3.3.0.1 and names SECO in the footer. The server reads that table through a pinned dataset id (sources.py), checked against the live source by a live test.

Series

2000

2025

Registered job seekers (SECO)

124.6

214.1

Registered unemployed (SECO)

72.0

133.7

ILO unemployed (BFS)

126.5

248.5

thousands, annual average

The three series do not measure the same thing: in 2000 the ILO figure is 1.76× the registered one. The server reports them separately and labelled, and never converts one into the other.

The cantonal layer: four cantons, four schemas

There is no national monthly series — but four cantons publish their own RAV figures, each in its own portal with its own column names. For those, seco_get_unemployment_overview(canton=…) returns real values:

Canton

Granularity

from

Level

Note

TG

monthly

2016-01

canton

only series by age class → youth unemployment as a count

FR

monthly

2004-01

canton and Switzerland

carries the national monthly figure as a comparison row

ZG

monthly

1993-01

canton

youth unemployment only as a rate, not a count

ZH

annual

1991

municipality

no monthly values; districts and regions sit in the same column as municipalities and are separated out

The other 22 cantons get a named refusal — no figure from another canton and no national aggregate. Partial coverage that feels complete is worse than none.

The four series are not comparable with each other and do not add up to a Swiss figure: different time axes, different geographic levels, and in ZG's case a rate rather than a count.

Still not available: unemployment by occupational group, open positions as a national series, and youth unemployment for Switzerland or for 24 of the 26 cantons. The affected tools say so and return no substitute figure. These values exist interactively on amstat.ch, which offers no interface a server could call.


Tools

Tool

Description

Key Use Case

seco_search_datasets

Search labour-market datasets on opendata.swiss (publisher shown per hit)

Discovery

seco_get_dataset

Full metadata + download links for a dataset

Data access

seco_get_unemployment_overview

Registered unemployed: national annual, cantonal for TG/FR/ZG/ZH

Labor market overview

seco_get_youth_unemployment

Youth unemployment (15–24) — TG (count) and ZG (rate) only

🎓 Berufswahlberatung

seco_get_job_seekers

Registered job seekers, national, annual series from 2000

Training demand

seco_get_open_positions

Open positions — no national series available

Sector analysis

seco_get_unemployment_by_occupation

Breakdown by Berufshauptgruppe — no machine-readable source

🎓 Vocational guidance

seco_get_monthly_report_url

Generate/verify PDF report URL

Source access

seco_list_cantons

All 26 canton codes and names

Utility

seco_get_uvg_overview

UVG key figures on occupational accidents and diseases

Risk overview

seco_get_uvg_by_branch

Results per NOGA 2008 economic branch

🎓 Vocational guidance

seco_get_uvg_trends

Ten-year accident time series per branch

Trend analysis

12 of a maximum of 15 tools.


Unfallstatistik UVG (SSUV)

The three seco_get_uvg_* tools cover the risk side of the same labour market the unemployment tools describe: how many occupational accidents and diseases occur per branch, and how that develops over ten years.

The publisher is not SECO. The Unfallstatistik UVG is issued by the Koordinationsgruppe KSUV and the Sammelstelle SSUV c/o Suva, Lucerne. The seco_ prefix addresses this server, not the source; every response names the actual publisher in its source field.

Architecture decision: C (dump-first)

Verified live on 2026-08-05, full write-up in PROBE_REPORT_UVG.md.

The source has no API. A link scan across every data page returned 165 PDFs and zero files with .csv, .xlsx or .json. opendata.swiss does not list the source at all (count=0 for six of seven search terms), and the BFS dam-api silently ignores its filter parameters. What remains is machine-readable in practice but not by design:

Access

Format

Refresh

schluesselzahlen_d.htm

HTML table, 5 years, Switzerland-wide

annually

Ts{YY}.pdf

annual edition, tables 1.2 and 2.4 by NOGA

annually, June

WirtKl_{BUV|NBUV}_{NN}.pdf

ten-year series per NOGA division

annually, January

PDFs are cached for 24 h and fetched with 2s/4s/8s backoff.

What every response tells you

  • source_freshness.data_year — the data year, not the edition year. The 2026 edition reports 2024; that two-year lag is stated, not buried.

  • totals_check — parsed rows are summed and compared against the total printed in the same publication. A broken layout shows up here instead of becoming a plausible wrong number.

  • significant — the source marks statistically significant year-on-year changes with an asterisk. That flag is preserved per data point, so a change is only reported as significant where the source says so.


Installation

Claude Desktop (stdio)

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "seco-labor": {
      "command": "uvx",
      "args": ["seco-labor-mcp"]
    }
  }
}

Cloud / SSE

pip install seco-labor-mcp
MCP_TRANSPORT=sse PORT=8000 seco-labor-mcp

The SSE server binds to 127.0.0.1 (loopback) by default to prevent NeighborJack on shared networks. For container deployments where you actually need to accept traffic from outside the container, set HOST=0.0.0.0 explicitly — ideally in your Dockerfile / orchestrator config, and only behind an upstream proxy or firewall:

HOST=0.0.0.0 MCP_TRANSPORT=sse PORT=8000 seco-labor-mcp   # container only

Development

git clone https://github.com/malkreide/seco-labor-mcp.git
cd seco-labor-mcp
pip install -e ".[dev]"
pytest tests/ -m "not live" -v

Usage Examples

Search for youth unemployment data

Tool: seco_search_datasets
Input: { "query": "Jugendarbeitslosigkeit Alter", "limit": 5 }

Get cantonal unemployment for Zürich

Tool: seco_get_unemployment_overview
Input: { "canton": "ZH", "response_format": "markdown" }

Get monthly report URL

Tool: seco_get_monthly_report_url
Input: { "year": 2026, "month": 2, "language": "de" }

Key Concepts

Arbeitslose vs. Stellensuchende

Eselsbrücke: Arbeitslose ⊂ Stellensuchende — Arbeitslose sind eine Teilmenge.

Term

Definition

Dec 2025

Arbeitslose

RAV-registered, immediately available

~149'000 (3.2%)

Stellensuchende

All RAV-registered (incl. training programs)

~233'900

Youth Unemployment Seasonality

  • July/August: Sharp increase (school leavers without placements)

  • September/October: Decline (apprenticeship starts)

  • The residual that remains after the autumn decline signals structural need for bridge programs (Brückenangebote)

Stellenmeldepflicht (since 2020)

Occupations with ≥5% unemployment rate must be reported to the RAV before posting publicly. The list changes annually. This is directly relevant for vocational counseling — these professions have highest availability for Swiss job seekers.


Portfolio Synergies

Server

Synergy

swiss-statistics-mcp

BFS population/employment data for deeper context

zurich-opendata-mcp

City of Zurich-level education and social data

swiss-snb-mcp

Economic context (GDP, wages) for labor market interpretation

fedlex-mcp

ALV (Arbeitslosenversicherung) legislative framework


Known Limitations

  • amstat.arbeit.swiss has no public REST API (JavaScript SPA) → workaround via CKAN

  • Occupational/sectoral detail requires CSV download from SECO resources

  • Monthly press report URL patterns may vary for older reports

  • Cantonal sub-municipal data not available at this level

  • UVG figures come from PDF parsing — the layout was stable across the 2025 and 2026 editions, but a redesign can break it. The totals_check in every response is what makes such a break visible rather than silent.

  • UVG data lags roughly two years (the 2026 edition reports 2024)

  • UVG branch detail follows NOGA 2008 and groups some divisions (41 – 42, 77, 79 – 82); there is no cantonal breakdown at this level

  • Detailed UVG data beyond the publications sits behind the SSUV closed user group and is out of scope for this no-auth server

Phase 2 roadmap:

  • Automatic CSV caching with 24h TTL

  • Direct XLSX parsing for cantonal breakdowns

  • Integration with zh-education-mcp for Schulamt-specific correlations


Data License

Two different licences apply — the code of this server is MIT either way, but the data is not covered by it.

SECO / AMSTAT data published on opendata.swiss is under Creative Commons CCZero (public domain). Source: Staatssekretariat für Wirtschaft (SECO) — seco.admin.ch

Unfallstatistik UVG data is not openly licensed. The publication states:

«Abdruck – ausser für kommerzielle Nutzung – mit Quellenangabe gestattet.» (Reproduction permitted, except for commercial use, with attribution.)

That is a non-commercial restriction with an attribution requirement. It belongs to KSUV/SSUV and cannot be lifted by this repository's MIT licence: the MIT terms cover the code, not the figures the code retrieves. If you use this server commercially, the UVG tools are not covered — clarify directly with the Sammelstelle (unfallstatistik@suva.ch). Every UVG response repeats this restriction in its source field, because a README is not passed to the model.


Safety & Limits

Aspect

Details

Access

Read-only (readOnlyHint: true) — the server cannot modify or delete any data

Personal data

No personal data — all sources are aggregated, anonymous public statistics

Rate limits

No enforced external limits; server caps queries at 20 results by default; 30 s HTTP timeout

Authentication

No API keys required — opendata.swiss and arbeit.swiss are publicly accessible

Licenses

SECO data under Creative Commons CCZero (public domain)

Terms of Service

Subject to ToS of: opendata.swiss, SECO, arbeit.swiss

GDPR / DSG

Fully compliant — no personal data transmitted or stored; all data is official public statistics


Contributing

See CONTRIBUTING.md for development guidelines.


Security

See SECURITY.md for the security posture and how to report a vulnerability.


License

Released under the MIT License — Copyright © 2026 Hayal Oezkan.


Author

Hayal Oezkan · github.com/malkreide

Installation

Run via uv's uvx — no clone or manual install needed. Add to your MCP client config (mcpServers for Claude Desktop, Cursor and Windsurf; use a top-level servers key for VS Code in .vscode/mcp.json):

{
  "mcpServers": {
    "seco-labor-mcp": {
      "command": "uvx",
      "args": [
        "seco-labor-mcp"
      ]
    }
  }
}
Install Server
A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
Response time
6wRelease cycle
4Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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