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Seco Labor MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 9:24:02 PM

Seco Labor MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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SECO labour market: unemployment, vacancies, workforce indicators

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "seco-labor-mcp": {
      "command": "uvx",
      "args": [
        "seco-labor-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

πŸ‡¨πŸ‡­ 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 fΓΌr Wirtschaft) and AMSTAT via opendata.swiss.

Demo: Claude queries youth unemployment via seco-labor-mcp tool call


Overview

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

Primary audiences:

  • 🏫 Schulamt / Education planning β€” youth unemployment, vocational guidance data
  • πŸ“Š Research & analysis β€” labor market trends, cantonal comparisons
  • πŸ€– AI agents β€” automated labor market monitoring and reporting

Anchor query:
"Welche Berufsgruppen haben im Kanton ZΓΌrich die hΓΆchste Jugendarbeitslosigkeit, und welche Lehrberufe unterliegen der Stellenmeldepflicht?" β†’ More use cases by audience β†’


Data Sources (Phase 1 β€” No Auth Required)

SourceDescriptionStatus
opendata.swissCKAN catalogue; the pinned BFS table T3.3.0.1 carries the SECO annual seriesβœ… Live
arbeit.swissMonthly press reports (PDF, structured URL pattern)βœ… Live
amstat.chAMSTAT reference portal⚠️ JavaScript SPA, no public REST API
unfallstatistik.chUnfallstatistik UVG (SSUV/KSUV c/o Suva) β€” occupational accidents and diseases⚠️ PDF only, no API (see below)

Architecture

server.ts
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                  seco-labor-mcp                     β”‚
β”‚                                                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
β”‚  β”‚  FastMCP    β”‚    β”‚      9 MCP Tools         β”‚   β”‚
β”‚  β”‚  Server     │◄──►│  seco_search_datasets    β”‚   β”‚
β”‚  β”‚  (stdio /   β”‚    β”‚  seco_get_dataset        β”‚   β”‚
β”‚  β”‚   SSE)      β”‚    β”‚  seco_get_unemployment_* β”‚   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚  seco_get_youth_*        β”‚   β”‚
β”‚         β”‚           β”‚  seco_get_job_seekers    β”‚   β”‚
β”‚         β–Ό           β”‚  seco_get_open_positions β”‚   β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”‚  seco_get_monthly_url    β”‚   β”‚
β”‚  β”‚  httpx      β”‚    β”‚  seco_list_cantons       β”‚   β”‚
β”‚  β”‚  async      β”‚    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜                                   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
          β”‚
          β–Ό
  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
  β”‚  opendata.swiss CKAN API          β”‚
  β”‚  https://opendata.swiss/api/3/    β”‚
  β”‚  action/package_search            β”‚
  β”‚  action/package_show              β”‚
  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
              β”‚
              β–Ό
  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
  β”‚  SECO Data Resources              β”‚
  β”‚  CSV / XLSX / PDF Downloads       β”‚
  β”‚  (monthly labor market data)      β”‚
  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Where the figures come from β€” 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 β€” 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.

Series20002025
Registered job seekers (SECO)124.6214.1
Registered unemployed (SECO)72.0133.7
ILO unemployed (BFS)126.5248.5

thousands, annual average

The three series do not measure the same thing: in 2000 the ILO figure is 1.76Γ— 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 β€” 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:

CantonGranularityfromLevelNote
TGmonthly2016-01cantononly series by age class β†’ youth unemployment as a count
FRmonthly2004-01canton and Switzerlandcarries the national monthly figure as a comparison row
ZGmonthly1993-01cantonyouth unemployment only as a rate, not a count
ZHannual1991municipalityno monthly values; districts and regions sit in the same column as municipalities and are separated out

The other 22 cantons get a named refusal β€” 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

ToolDescriptionKey Use Case
seco_search_datasetsSearch labour-market datasets on opendata.swiss (publisher shown per hit)Discovery
seco_get_datasetFull metadata + download links for a datasetData access
seco_get_unemployment_overviewRegistered unemployed: national annual, cantonal for TG/FR/ZG/ZHLabor market overview
seco_get_youth_unemploymentYouth unemployment (15–24) β€” TG (count) and ZG (rate) onlyπŸŽ“ Berufswahlberatung
seco_get_job_seekersRegistered job seekers, national, annual series from 2000Training demand
seco_get_open_positionsOpen positions β€” no national series availableSector analysis
seco_get_unemployment_by_occupationBreakdown by Berufshauptgruppe β€” no machine-readable sourceπŸŽ“ Vocational guidance
seco_get_monthly_report_urlGenerate/verify PDF report URLSource access
seco_list_cantonsAll 26 canton codes and namesUtility
seco_get_uvg_overviewUVG key figures on occupational accidents and diseasesRisk overview
seco_get_uvg_by_branchResults per NOGA 2008 economic branchπŸŽ“ Vocational guidance
seco_get_uvg_trendsTen-year accident time series per branchTrend 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:

AccessFormatRefresh
schluesselzahlen_d.htmHTML table, 5 years, Switzerland-wideannually
Ts{YY}.pdfannual edition, tables 1.2 and 2.4 by NOGAannually, June
WirtKl_{BUV|NBUV}_{NN}.pdften-year series per NOGA divisionannually, January

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

What every response tells you

  • source_freshness.data_year β€” the data year, not the edition year. The 2026 edition reports 2024; that two-year lag is stated, not buried.
  • totals_check β€” 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 β€” 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:

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Seco Labor MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "seco-labor-mcp": { "command": "npx", "args": ["-y", "seco-labor-mcp"] } }

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Technical Specs & Signals

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TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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