Lithuanian 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., "@Lithuanian Data Protection MCP search for VDAI decisions on data breach notification"
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.
Lithuanian Data Protection MCP
▶ Try this MCP instantly via Ansvar Gateway
50 free queries/day · no card required · OAuth signup at ansvar.eu/gateway
One endpoint, one OAuth signup, access from any MCP-compatible client.
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 flow at ansvar.eu/gateway. 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).
Lithuanian data protection data for AI compliance tools.
Query Lithuanian data protection data -- regulations, decisions, and requirements from VDAI (State Data Protection Inspectorate) -- directly from Claude, Cursor, or any MCP-compatible client.
Built by Ansvar Systems -- Stockholm, Sweden
Related MCP server: Slovak Data Protection MCP
Available Tools (6)
Tool | Description |
| Full-text search across VDAI (Valstybinė duomenų apsaugos inspekcija) decisions and sanctions. Returns matching decis... |
| Get a specific VDAI decision by reference number. |
| Search VDAI guidance documents: recommendations, guidelines, and FAQs on GDPR implementation in Lithuania. |
| Get a specific VDAI guidance document by its database ID. |
| List all covered data protection topics with Lithuanian and English names. Use topic IDs to filter decisions and guid... |
| 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 Lithuanian regulatory publications:
VDAI (State Data Protection Inspectorate) -- 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 VDAI (State Data Protection Inspectorate). 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/lithuanian-data-protection-mcp
cd lithuanian-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 at ansvar.eu/gateway.
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 toolslt_dp_aboutA
Return metadata about this MCP server: version, data source, coverage, and tool list.
Inputs: no named parameters.
lt_dp_get_decisionA
Get a specific VDAI decision by reference number.
Inputs: reference (required).
lt_dp_get_guidelineA
Get a specific VDAI guidance document by its database ID.
Inputs: id (required).
lt_dp_list_topicsA
List all covered data protection topics with Lithuanian and English names. Use topic IDs to filter decisions and guidelines.
Inputs: no named parameters.
lt_dp_search_decisionsA
Full-text search across VDAI (Valstybinė duomenų apsaugos inspekcija) decisions and sanctions. Returns matching decisions with reference, entity name, fine amount, and GDPR articles cited.
Inputs: query (required), type, limit, topic.
lt_dp_search_guidelinesA
Search VDAI guidance documents: recommendations, guidelines, and FAQs on GDPR implementation in Lithuania.
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 distinct purpose: search vs get for decisions, search vs get for guidelines, plus list_topics for filtering and about for server metadata. No overlap or ambiguity.
All tools follow a consistent pattern: lt_dp_<verb>_<resource>. Verbs are search, get, list, about; resources are decision/decisions, guideline/guidelines, topics. Minor singular/plural usage is consistent across resource pairs.
Six tools is well-scoped for a focused Lithuanian data protection research server. Each tool covers a necessary function without redundancy.
For a read-only research domain, the surface is complete: search and retrieve for both decisions and guidelines, topic listing for navigation, and an about tool for metadata. No obvious missing operations.
Maintenance
Related MCP Connectors
Lithuanian legislation and court practice for your AI agent. Search laws and 2.4 million court decisions, read the exact article or ruling paragraph, see which version was in force on any date, follow citations both ways and check a quote against its source. Lithuanian and EU law. Free during beta: sign in with your email. --- Lietuvos teisės šaltiniai jūsų DI asistente (Claude, ChatGPT ir kt.). Galiojančios įstatymų ir kitų teisės aktų redakcijos su datomis, teismų praktika su punktais, VMI ir kitų institucijų paaiškinimai, citatų patikra. Kiekvienas atsakymas su nuoroda į oficialų šaltinį. Teisininkams, buhalteriams, personalo, viešųjų pirkimų ir kitiems specialistams.
Privacy law your AI assistant can cite: the exact clause and its version. GDPR and UAE PDPL today.
Slovak court decisions as MCP tools. 12,000+ decisions, GDPR-compliant, pseudonymized, SLA-backed.
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