AgentXM

Praxikon

mcp remote · streamable-http · v2.3.1 · source: crawl

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

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

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Works

100

Verified Oct 31, 2026 · p50 1485 ms · p95 1515 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'praxikon'
tools_listed15pass9 tools
schema_complete15pass9 of 9 tools have a description and a typed schema
latency_p5010passp50 1485 ms
latency_p955passp95 1515 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (9)

NameDescriptionSchema
classify_systemUse 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 typed
get_applicable_obligationsUse 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 andtyped
explain_applicabilityUse 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 aboutyped
get_source_provenanceUse 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 primtyped
get_national_enforcementUse 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. Ttyped
check_caseUse 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 EUtyped
export_dpia_intakeUse 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 sametyped
answer_questionUse 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 ityped
request_expert_reviewUse 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 initiativtyped

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