:switzerland: Part of the Swiss Public Data MCP Portfolio

:balance_scale: fedlex-mcp

MCP Server for Swiss federal law, consultations & official terminology — search the SR, monitor consultation deadlines, and translate terms across the national languages via Claude Desktop or Claude.ai

:de: Deutsche Version

Overview

fedlex-mcp connects AI assistants (Claude) with three official Swiss SPARQL data sources:

1. Federal law via the Fedlex SPARQL endpoint — the Systematic Compilation (SR), Official Compilation (AS), Federal Gazette (BBl) and treaties.
2. Consultations (Vernehmlassungen) via the same Fedlex endpoint (jolux:Consultation) — the pre-parliamentary phase in which anyone can comment on a draft.
3. TERMDAT, the Federal Chancellery's terminology database, via the LINDAS SPARQL endpoint — official term equivalents across de/fr/it/rm/en.

All three are SPARQL-based, which is exactly why they live in one server rather than three: no new technology stack, only new queries against known patterns.

Metaphor: USB-C for federal law. Fedlex tells you what you have to respond to. TERMDAT tells you what it is called in the other national languages.

Features

• :balance_scale: 12 tools, 2 resources across federal law, consultations and terminology
• :mag: SPARQL-powered — two isolated endpoints (Fedlex + LINDAS), no shared failure mode
• :globe_with_meridians: 5 languages — German, French, Italian, Romansh, plus English for terminology
• :unlock: No API key required — all data under open reuse licences
• :cloud: Dual transport — stdio (Claude Desktop) + Streamable HTTP (cloud)

Anchor demo query

"Which education-related consultations are currently open, until when does the deadline run, which office is in charge — and what are the key technical terms in French and Italian for the response?"

A single conversation chains three tools across two endpoints:

fedlex_get_open_consultations(topic="education")
   → fedlex_get_consultation(event_id="proj/2026/71/cons_1")
   → termdat_lookup_term(term="Volksschule", target_languages=["fr","it"])

Every open consultation carries deadline, days_remaining (computed at request time in Europe/Zurich, 0 = deadline is today) and a derived status — an expired consultation never shows up as running. Fedlex says what you must respond to and by when; TERMDAT says how to name it in the other national languages.

Use topic="education", not keyword="Volksschule". Fedlex consultations have no subject taxonomy — filtering is free-text over the title, and the word "Volksschule" appears in zero consultation titles. The topic filter expands to a disclosed keyword union (Bildung, Schule, Berufsbildung, Hochschule, …) and reports exactly which terms it searched.

Prerequisites

• Python 3.11+
• uv (recommended) or pip

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": {
    "fedlex-mcp": {
      "command": "uvx",
      "args": [
        "fedlex-mcp"
      ]
    }
  }
}

Installation from source

# Clone the repository
git clone https://github.com/malkreide/fedlex-mcp.git
cd fedlex-mcp

# Install
pip install -e .
# or with uv:
uv pip install -e .

Or with uvx (no permanent installation):

uvx fedlex-mcp

Quickstart

# stdio (for Claude Desktop)
python -m fedlex_mcp.server

# Streamable HTTP (port 8000)
python -m fedlex_mcp.server --http --port 8000

Try it immediately in Claude Desktop:

"Show me all valid federal laws on vocational training" "What does the Data Protection Act say? Is it still in force?" "Which consultations on education are open right now, and until when?" "What is 'Volksschule' called in French and Italian in official terminology?"

Configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "fedlex": {
      "command": "python",
      "args": ["-m", "fedlex_mcp.server"]
    }
  }
}

Or with uvx:

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

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Cloud Deployment (SSE for browser access)

For use via claude.ai in the browser (e.g. on managed workstations without local software):

Render.com (recommended):

1. Push/fork the repository to GitHub
2. On render.com: New Web Service -> connect GitHub repo
3. Set start command: python -m fedlex_mcp.server --http --port 8000
4. In claude.ai under Settings -> MCP Servers, add: https://your-app.onrender.com/sse

"stdio for the developer laptop, SSE for the browser."

Demo

Available Tools

Example Use Cases

→ More use cases by audience →

Architecture

Two isolated SPARQL endpoints behind one server. Separate httpx clients and timeouts mean a LINDAS outage never breaks the fedlex_* tools, and vice versa.

+-------------------+     +------------------------------+     +--------------------------+
|   Claude / AI     |---->|  Fedlex MCP                  |---->|  Fedlex SPARQL Endpoint  |
|   (MCP Host)      |<----|  (MCP Server)                |<----|  fedlex.data.admin.ch    |
+-------------------+     |                              |     |  (law + consultations)   |
                          |  12 Tools . 2 Resources      |     +--------------------------+
                          |  Stdio | SSE                 |
                          |                              |     +--------------------------+
                          |  Isolated clients:           |---->|  LINDAS SPARQL Endpoint  |
                          |   - Fedlex  (law + cons.)     |<----|  lindas.admin.ch/query   |
                          |   - LINDAS  (TERMDAT)         |     |  (fch/termdat, TERMDAT)  |
                          |                              |     +--------------------------+
                          |  No authentication required  |
                          +------------------------------+

Data Model

JOLux Ontology — federal law (Fedlex)