Swiss Jobs API & MCP

Swiss job data for your AI and tools

Bring Panta’s job and employer data into the AI and applications you already use. Search through MCP or the REST API, with the original sources attached.

Public market data. Read-only access. Start without an account.

Panta

Swiss job index

JobsEmployersSources
Your AI assistantMCP
Your applications & workflowsREST API

One index. Two ways to use it.

Know what you’re querying.

Jobs with Swiss location evidence, from enabled sources. Coverage changes as employers and listings enter the index.

How coverage and freshness work

Inspect the job index and covered employers. Current counts load when available.

Choose the data access that fits your task.

Compare Panta with nine job-data providers, from public APIs and MCP search to publisher feeds and historical datasets. See where Panta is a practical starting point and where another product fits better.

Compare Swiss job-data APIs and feeds

Choose where you work.

Connect Panta once, then ask about Swiss jobs and employers in your own words.

MCP setup and tool reference

Choose an app for setup instructions. All three use the same server URL.

Claude
  1. In Claude, open Customize → Connectors and add a custom connector named Panta.
  2. Paste the MCP server URL below. Choose No sign in for public job and employer searches.
  3. Enable Panta in your conversation’s connectors menu, then try the example prompt.

Menus and availability depend on your Claude plan and organization. Official Claude setup guide

ChatGPT
  1. On ChatGPT’s website, open Plugins, select the plus button, then Add custom MCP server.
  2. Name it Panta, paste the MCP server URL below and choose No authentication for public data.
  3. Create and install the plugin. In a conversation, type @ and choose Panta, then try the example prompt.

Your workspace permissions and security settings can affect access to custom MCP plugins. Official ChatGPT setup guide

Gemini CLI
  1. Add Panta as a remote HTTP server with the terminal command below.
  2. Run gemini mcp list to check that Panta is connected.
  3. Ask Gemini CLI about Swiss jobs and employers, then inspect the sources in its results.
Add Panta to Gemini CLI · Shell
gemini mcp add --transport http panta https://withpanta.com/mcp

These instructions are for the terminal-based Gemini CLI. Official Gemini CLI setup guide

MCP server URL
https://withpanta.com/mcp

Public job and employer searches are read-only. Start without a Panta account.

A prompt to try in your assistant
Find software engineering jobs in Zürich. Show the employer, location evidence, original source link and when each listing was last checked.

Panta supplies the records. Your assistant helps you explore them.

Other remote MCP clients can use the same URL. Personal workspace tools are optional and require separate OAuth consent.

Make your first API request.

Plain JSON over HTTPS. Use it in your code, a research notebook or an existing workflow.

REST API quickstart
Software engineering roles in Zürich · Shell
curl --fail --get 'https://withpanta.com/api/v1/jobs' \
  --data-urlencode 'q=software engineer' \
  --data-urlencode 'canton=ZH' \
  --data-urlencode 'limit=3'
Open JSON response

This example makes a read-only request for up to three results. No sign-in or API key. Download OpenAPI

See what comes back.

Run the example to inspect current results, source links and observation dates.

Results come from a changing index. Follow next_offset to paginate; fetch a job’s details to inspect all source postings. Read the response contract

The evidence travels with the data.

Build on what the sources actually say, and keep missing information visible.

Jobs and employers

Search roles, locations and employers. Read full job details and the source postings behind them.

Original sources

Keep the original listing and application links. Follow the employer’s source before acting on a result.

Swiss location evidence

Distinguish a Swiss workplace, remote eligibility from Switzerland and roles spanning several countries.

Observation dates

Inspect when a listing was observed and the source’s freshness. A checking date is different from a publication date.

Inspect the data before relying on it.

Read Panta’s original studies of salary information, remote-work wording and source evidence. Each explains its sample and limitations.

Salary evidence in job adsWhat remote labels leave outSource evidence and study method

Before you connect.

Current access, coverage and reuse.

Access and request limits
Do I need a Panta account?

Public job and employer searches work without a Panta account or API key, through both REST and MCP. A Panta account is only needed for optional API keys or personal workspace access.

What does access cost?

Public market reads are currently available without a paid plan. Anonymous access allows 30 operations per minute per IP, per Cloudflare location. Optional API keys allow 60 operations per minute per account, shared with MCP connections. These are approximate abuse limits, not a guaranteed throughput.

Can I use a different assistant or programming language?

Use a client that supports remote MCP over Streamable HTTP, or call the REST API from any language that can make HTTPS requests. Client features and organization policies can affect connector setup.

How complete and current is the data?

Panta is an observed job index, not a census of the Swiss labour market. Sources refresh at different times and may become stale or unavailable. Check source evidence and freshness on each result; an active record does not guarantee that an employer still accepts applications.

Can I download the entire market or a hiring history?

The public API supports bounded, paginated searches. It does not provide a bulk export or historical time-series API. An employer’s past listings are incomplete observed records, not a complete hiring history.

Can I republish job descriptions?

Public access does not grant a license to republish third-party job descriptions. Preserve source links and attribution, and review Panta’s terms and the original source’s rights before reusing content.

Service terms · Data definitions and limitations

Your tools. Panta’s Swiss job data.