MCP server

Praxikon Official

com.praxikon/praxikon

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

EU AI Act and GDPR checks with sources: classify an AI system, trace each duty, find the supervisor.

Website

At a glance

Type

MCP server

Publisher

praxikon.com (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 10,914 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http praxikon https://www.praxikon.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.praxikon]
url = "https://www.praxikon.com/api/mcp"

Gemini CLI

{"mcpServers":{"praxikon":{"httpUrl":"https://www.praxikon.com/api/mcp"}}}

Cursor

{"mcpServers":{"praxikon":{"url":"https://www.praxikon.com/api/mcp"}}}

VS Code

{"servers":{"praxikon":{"type":"http","url":"https://www.praxikon.com/api/mcp"}}}

Antigravity

agy mcp add praxikon https://www.praxikon.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"praxikon","server_url":"https://www.praxikon.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"praxikon","server_url":"https://www.praxikon.com/api/mcp"}

Tools

• answer_question ~506 tokens
  Use this for a short, general question about the EU AI Act or the GDPR (AVG), such as whether a customer service chatbot has to say that it is AI or when a DPIA is required. It looks the question up in the published Praxikon answers: deterministic, no language model, and with the articles and source
• check_case ~2390 tokens
  Use this when the user describes a concrete, intended use of AI or of personal data (a system, a project, a supplier) and wants to know whether a DPIA, a FRIA or duties under the GDPR (AVG) and the EU AI Act come into play. It runs the Praxikon case check: fixed rules over fixed answers, the same ru
• classify_system ~3910 tokens
  Use this as the first step when you hold a concrete AI system and need to know which routes of the EU AI Act come into view: prohibited practice screening, Annex III high risk, transparency, FRIA and the general purpose model route, and with a version 2 profile the wider set of duties, such as Artic
• explain_applicability ~778 tokens
  Use this whenever you have to justify why an obligation does or does not bear on a case, and an outcome on its own is not enough. It returns the legal path: the conditions under which the rule is about a situation, the exceptions under which it is not despite those conditions, and the statements of
• export_dpia_intake ~976 tokens
  Use this when the user wants the DPIA intake of a concrete, intended use of AI or of personal data as a Word file to work on, and, where the FRIA comes into play, the FRIA draft too. It takes the same fixed fact answers as the case check of Praxikon, as coded choices, and gives the same documents as
• get_applicable_obligations ~617 tokens
  Use this when you need the obligations themselves for one assessed system rather than the classification picture: which obligations apply, which possibly apply, from when, why, and on which source and locator. Returns one entry per assessed obligation, filtered by applicability. A version 2 profile
• get_national_enforcement ~698 tokens
  Use this for the national layer: which authority is designated in a member state, how far the implementing law has come, and which dated enforcement signals are recorded, each with a primary source. The authority is recorded as free text per member state and is deliberately not a graph identifier, b
• get_source_provenance ~574 tokens
  Use this before you quote, cite or hand on anything from this graph, and whenever a reader asks on what authority a statement rests. It returns, for one object, every statement with its kind, its primary source, the locator inside that source and the review metadata, plus the source records behind t
• request_expert_review ~465 tokens
  Use this only when the user asks for it in their own words: they want to talk to a person, ask for a human expert, or ask how to get in touch about their situation. Never call it on your own initiative, never as a closing suggestion, and never because an answer seems uncertain. It returns a link to

Browse

• Legal research
• Government and public data

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