swiss-food-safety-mcp 1.0.0

MCP Server for Swiss Federal Food Safety and Veterinary Office (BLV) open data — no auth required

🇨🇭 Part of the Swiss Public Data MCP Portfolio

swiss-food-safety-mcp

MCP server connecting AI models to Swiss Federal Food Safety and Veterinary Office (BLV) open data — food recalls, animal disease surveillance, food control results, antibiotic usage, children's nutrition surveys and the pesticide register. No authentication required.

🇩🇪 Deutsche Version

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Overview

swiss-food-safety-mcp gives AI assistants like Claude direct access to official Swiss food safety and veterinary data from the Federal Food Safety and Veterinary Office (BLV / Bundesamt für Lebensmittelsicherheit und Veterinärwesen). It provides 11 tools covering food recalls, animal disease surveillance, food control results, antibiotic usage in veterinary medicine, nutrition surveys for children, and the pesticide register.

All data comes from official Swiss federal sources (opendata.swiss, lindas.admin.ch, news.admin.ch). No API keys or authentication are required.

This server follows the No-Auth-First philosophy and is part of a Swiss public sector MCP portfolio.

Anchor demo query: "Are there any current BLV food warnings relevant to Zurich school canteens — and which notifiable animal diseases are currently reported in the canton?"

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Features

• 🚨 Public warnings & recalls — Live RSS feed of BLV product recalls and health warnings
• 🐄 Animal disease surveillance — Notifiable animal diseases since 1991 (InfoSM) via SPARQL + CSV
• 🐦 Avian influenza monitoring — Wild bird surveillance data with geodata
• 🥩 Food control results — Cantonal food inspection results and violation rates
• 💊 Antibiotic usage veterinary — ISABV data on antibiotic use in animal medicine
• 🧒 Children's nutrition survey — menuCH-Kids national nutritional survey data
• 🌿 Pesticide register — Swiss approved pesticide products and active ingredients
• 📊 Dataset discovery — Browse all 28 BLV datasets on opendata.swiss via CKAN API
• 🔗 Dual transport — stdio (Claude Desktop) + Streamable HTTP (cloud/Render.com)
• 🗣️ Bilingual — German-first documentation, English secondary

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Prerequisites

• Python 3.11+
• uv or uvx (recommended) — install uv

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Installation

Using uvx (recommended — no install needed)

uvx swiss-food-safety-mcp

Using uv

uv tool install swiss-food-safety-mcp
swiss-food-safety-mcp

From source

git clone https://github.com/malkreide/swiss-food-safety-mcp
cd swiss-food-safety-mcp
uv sync
uv run swiss-food-safety-mcp

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Quickstart

Add to claude_desktop_config.json:

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

{
  "mcpServers": {
    "swiss-food-safety": {
      "command": "uvx",
      "args": ["swiss-food-safety-mcp"]
    }
  }
}

Try it immediately in Claude Desktop:

"Which BLV food warnings are currently active?"
"Are there any notifiable animal diseases reported in Zurich canton this year?"

Other MCP Clients (Cursor, Windsurf, VS Code + Continue)

{
  "mcpServers": {
    "swiss-food-safety": {
      "command": "uvx",
      "args": ["swiss-food-safety-mcp"]
    }
  }
}

Cloud Deployment (Streamable HTTP)

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

swiss-food-safety-mcp --http
# Server runs on port 8002

Render.com (recommended):

1. Push/fork the repository to GitHub
2. On render.com: New Web Service → connect GitHub repo
3. Set the start command to: swiss-food-safety-mcp --http
4. In claude.ai under Settings → MCP Servers, add: https://your-app.onrender.com/mcp

💡 "stdio for the developer laptop, Streamable HTTP for the browser."

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Available Tools

Tool	Description	Data Source
blv_get_public_warnings	Current food recalls & health warnings	news.admin.ch RSS
blv_list_datasets	Browse all 28 BLV open datasets	opendata.swiss CKAN
blv_get_dataset_info	Dataset details & resource URLs	opendata.swiss CKAN
blv_search_animal_diseases	Notifiable animal diseases since 1991	SPARQL / CSV fallback
blv_get_animal_health_stats	Annual animal health statistics	opendata.swiss CSV/JSON
blv_get_food_control_results	Cantonal food inspection results	opendata.swiss CSV
blv_get_antibiotic_usage_vet	Veterinary antibiotic usage (ISABV)	opendata.swiss CSV
blv_get_avian_influenza	Wild bird avian influenza surveillance	opendata.swiss JSON/KML
blv_get_nutrition_data_children	Children's nutrition survey (menuCH-Kids)	opendata.swiss CSV
blv_search_pesticide_products	Swiss approved pesticide register	opendata.swiss XML
blv_get_meat_inspection_stats	Slaughterhouse inspection statistics	opendata.swiss CSV/JSON

Example Queries

Query	Tool
"Which BLV food warnings are currently active?"	blv_get_public_warnings
"Are there animal diseases in Zurich canton in 2024?"	blv_search_animal_diseases
"What is the avian influenza situation in Switzerland 2024?"	blv_get_avian_influenza
"What do Swiss children actually eat?"	blv_get_nutrition_data_children
"Which copper-based pesticides are approved in Switzerland?"	blv_search_pesticide_products

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Architecture

┌─────────────────┐     ┌─────────────────────────────┐     ┌──────────────────────────────┐
│   Claude / AI   │────▶│   Swiss Food Safety MCP     │────▶│  Swiss Federal Open Data     │
│   (MCP Host)    │◀────│   (MCP Server)              │◀────│                              │
└─────────────────┘     │                             │     │  opendata.swiss (CKAN/CSV)   │
                        │  11 Tools · No Auth         │     │  lindas.admin.ch (SPARQL)    │
                        │  Stdio | Streamable HTTP    │     │  news.admin.ch (RSS/XML)     │
                        └─────────────────────────────┘     └──────────────────────────────┘

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Synergies with Related MCP Servers

Combination	Use Case
swiss-food-safety-mcp + zurich-opendata-mcp	Geo-mapped animal disease risk near school locations
swiss-food-safety-mcp + fedlex-mcp	Link recalls to food law (Lebensmittelgesetz)
swiss-food-safety-mcp + swiss-statistics-mcp	Nutrition data × socioeconomics by school district
swiss-food-safety-mcp + global-education-mcp	Swiss children's nutrition vs. OECD benchmarks

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Project Structure

swiss-food-safety-mcp/
├── src/
│   └── swiss_food_safety_mcp/
│       ├── __init__.py        # Package metadata
│       └── server.py          # All tools, resources, prompts
├── tests/
│   ├── __init__.py
│   └── test_server.py         # Unit tests (no live API calls)
├── .github/
│   └── workflows/
│       └── ci.yml             # Python 3.11–3.13 matrix
├── pyproject.toml             # hatchling build, uv-compatible
├── CHANGELOG.md
├── CONTRIBUTING.md
├── LICENSE                    # MIT
├── README.md                  # This file (English)
└── README.de.md               # German version

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Data Sources

Source	Description	Format
opendata.swiss/BLV	28 open datasets	CSV, JSON, Parquet, SPARQL, XML
lindas.admin.ch/sparql	Swiss linked data SPARQL endpoint	RDF/SPARQL
news.admin.ch RSS	BLV public warnings & recalls	RSS/XML
blv.admin.ch	BLV website (DE/FR/IT/EN)	HTML

All data is open government data (OGD) under Creative Commons with attribution requirement.

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Known Limitations

• SPARQL endpoint: Automatic fallback to CSV if the lindas.admin.ch SPARQL endpoint is unavailable
• RSS feed: Limited to the most recent BLV publications; no historical archive
• Pesticide register: XML parsing may be slow for queries returning large result sets
• CKAN datasets: Opendata.swiss rate limits apply under heavy usage
• Animal disease data: Canton-level filtering depends on data completeness in the source

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Testing

# Unit tests (no API access required)
PYTHONPATH=src pytest tests/ -m "not live"

# All tests including live API checks
PYTHONPATH=src pytest tests/

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Changelog

See CHANGELOG.md

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Contributing

See CONTRIBUTING.md

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License

MIT License — see LICENSE

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Author

Hayal Oezkan · github.com/malkreide

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Credits & Related Projects

• Data: opendata.swiss / BLV – Federal Food Safety and Veterinary Office (BLV)
• Protocol: Model Context Protocol – Anthropic / Linux Foundation
• Related: zurich-opendata-mcp – MCP server for Zurich city open data
• Portfolio: Swiss Public Data MCP Portfolio