Swiss Data Protection MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Swiss Data Protection MCP find FDPIC decisions on employee monitoring"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Swiss Data Protection MCP
The Swiss data-protection corpus is now served through the Ansvar Gateway. Connect your AI assistant (Claude, Copilot, Cursor, custom MCP client) to
https://gateway.ansvar.eu/mcp— one OAuth connection, free tier available, covering this corpus plus EU regulations, national law across dozens of audited jurisdictions (Europe + the US), and CVE/security intelligence, every result with a verbatim source citation. Start at https://ansvar.eu/docs/quickstart
Connect
Claude Code (one line):
claude mcp add ansvar --transport http https://gateway.ansvar.eu/mcpClaude Desktop / Cursor — add to claude_desktop_config.json (or mcp.json):
{
"mcpServers": {
"ansvar": {
"type": "url",
"url": "https://gateway.ansvar.eu/mcp"
}
}
}Claude.ai — Settings → Connectors → Add custom connector → paste https://gateway.ansvar.eu/mcp
First request opens an OAuth signup flow (setup details: ansvar.eu/docs/quickstart). After signup, your client is bound to your account; tier (free / premium / team / company) determines fan-out, quota, and which downstream MCPs are reachable.
Self-host this MCP
You can also clone this repo and build the corpus yourself. The schema, fetcher, and tool implementations all live here. What is not in the repo is the pre-built database — TDM and standards-licensing constraints on the upstream sources mean we host the corpus on Ansvar infrastructure rather than redistribute it as a public artifact.
Build your own: run this repo's ingestion script (entry-point varies per
repo — typically scripts/ingest.sh, npm run ingest, or make ingest;
check the repo root).
Swiss data protection data for AI compliance tools.
Query Swiss data protection data -- regulations, decisions, and requirements from FDPIC/EDOB (Federal Data Protection and Information Commissioner) -- directly from Claude, Cursor, or any MCP-compatible client.
Built by Ansvar Systems -- Stockholm, Sweden
Related MCP server: fedlex-mcp
Available Tools (6)
Tool | Description |
| Full-text search across FDPIC decisions and opinions (Sachverhaltsdarstellungen, Empfehlungen). Returns matching deci... |
| Get a specific FDPIC decision or opinion by reference number. |
| Search FDPIC guidance documents: Leitfäden, Erläuterungen, and guidance on cloud computing, new DSG, video surveillan... |
| Get a specific FDPIC guidance document by its database ID. |
| List all covered data protection topics with German and English names. Use topic IDs to filter decisions and guidelines. |
| Return metadata about this MCP server: version, data source, coverage, and tool list. |
All tools return structured data with source references and timestamps.
Data Sources and Freshness
All content is sourced from official Swiss regulatory publications:
FDPIC/EDOB (Federal Data Protection and Information Commissioner) -- Official regulatory authority
Data Currency
Database updates are periodic and may lag official publications
Freshness checks run via GitHub Actions workflows
Last-updated timestamps in tool responses indicate data age
See sources.yml for full provenance metadata.
Security
This project uses multiple layers of automated security scanning:
Scanner | What It Does | Schedule |
CodeQL | Static analysis for security vulnerabilities | Weekly + PRs |
Semgrep | SAST scanning (OWASP top 10, secrets, TypeScript) | Every push |
Gitleaks | Secret detection across git history | Every push |
Trivy | CVE scanning on filesystem and npm dependencies | Daily |
Docker Security | Container image scanning + SBOM generation | Daily |
Socket.dev | Supply chain attack detection | PRs |
Dependabot | Automated dependency updates | Weekly |
See SECURITY.md for the full policy and vulnerability reporting.
Important Disclaimers
Not Regulatory Advice
THIS TOOL IS NOT REGULATORY OR LEGAL ADVICE
Regulatory data is sourced from official publications by FDPIC/EDOB (Federal Data Protection and Information Commissioner). However:
This is a research tool, not a substitute for professional regulatory counsel
Verify all references against primary sources before making compliance decisions
Coverage may be incomplete -- do not rely solely on this for regulatory research
Before using professionally, read: DISCLAIMER.md | PRIVACY.md
Confidentiality
Queries go through the Claude API. For privileged or confidential matters, use on-premise deployment. See PRIVACY.md for details.
Development
Setup
git clone https://github.com/Ansvar-Systems/swiss-data-protection-mcp
cd swiss-data-protection-mcp
npm install
npm run build
npm testRunning Locally
npm run dev # Start MCP server
npx @anthropic/mcp-inspector node dist/index.js # Test with MCP InspectorData Management
npm run build:db # Rebuild SQLite database from seed data
npm run check-updates # Check for new regulatory dataMore Ansvar MCPs
Full fleet coverage at ansvar.eu/coverage.
Contributing
Contributions welcome! See CONTRIBUTING.md for guidelines.
License
Apache License 2.0. See LICENSE for details.
Data Licenses
Regulatory data sourced from official government publications. See sources.yml for per-source licensing details.
About Ansvar Systems
We build AI-powered compliance and legal research tools for the European market. Our MCP fleet provides structured, verified regulatory data to AI assistants -- so compliance professionals can work with accurate sources instead of guessing.
ansvar.eu -- Stockholm, Sweden
Available Tools
6 toolsch_dp_aboutA
Return metadata about this MCP server: version, data source, coverage, and tool list.
Inputs: no named parameters.
ch_dp_get_decisionB
Get a specific FDPIC decision or opinion by reference number.
Inputs: reference (required).
ch_dp_get_guidelineA
Get a specific FDPIC guidance document by its database ID.
Inputs: id (required).
ch_dp_list_topicsA
List all covered data protection topics with German and English names. Use topic IDs to filter decisions and guidelines.
Inputs: no named parameters.
ch_dp_search_decisionsA
Full-text search across FDPIC decisions and opinions (Sachverhaltsdarstellungen, Empfehlungen). Returns matching decisions with reference, entity name, and DSG articles cited.
Inputs: query (required), type, limit, topic.
ch_dp_search_guidelinesB
Search FDPIC guidance documents: Leitfäden, Erläuterungen, and guidance on cloud computing, new DSG, video surveillance, health data, cross-border transfers, and more.
Inputs: query (required), type, limit, topic.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: searching decisions, retrieving specific decisions, getting guidelines, listing topics, searching guidelines, and server metadata. No overlap in functionality.
All tools follow a consistent 'ch_dp_' prefix with verb_noun pattern (e.g., search_decisions, get_decision). Even the 'about' tool fits the pattern as a service action. Uniform use of snake_case.
With 6 tools covering search, retrieval, topic browsing, and metadata, the set is well-scoped for a specialized data protection legal research server. Neither too few nor excessive.
Core CRUD-like operations are present, but search tools may not support filtering by topic ID explicitly, which could be a minor gap. Otherwise, the surface covers the main workflows.
Maintenance
Related MCP Connectors
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
Query your own PDFs and documents from any MCP client. Every answer cites the page it came from.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
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