nu:legal Deutsches Recht
eu.nulegal/recht · v1.0.2
German federal and Land statutes plus court decisions for agents. Keyless, read-only, CC BY 4.0.
MCPremoteno credentialsLaw & governmentDocuments & PDF
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 74/100
What it does: 9 tools · 9 read, 0 write · Law & government, Documents & PDF, Knowledge & docs
Test call listCitingDecisions: failed — tool error: {
"error": true,
"reason": "invalid_argument",
"detail": "Give either `law` + `ref` (decisions citing a statute pr (993 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +4
- Read/write annotations: +5
- Safe test call: 0
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://recht.nulegal.eu/v1/mcpTools
9 tools listed at last check
resolveIdentifiersGround a batch of German legal citations against the corpus. Call this BEFORE stating any citation you did not read here. Takes the citation in the form you already hold it — including the court name, the dispositive word and the date a model normally writes around a docket. KEEP THEM IN: the courtsearchOne query over BOTH corpora: federal and Land statutes (lexical, with concept pinning) and court decisions (semantic — natural-language questions work well here and are the better shape for case law). Search both unless you have a reason not to. A term of art often does not appear in the statute thgetNormThe text of one provision, by default as clean Markdown — about a tenth the size of the reader page for the same provision, with no navigation, no scripts and no boilerplate. `law` is the abbreviation as a citation writes it ('BGB', 'DSGVO', 'BDSG 2018', 'RVG'); `ref` is the bare number, with any llistNormVersionsEvery stored version of one provision, newest first, so you can find out which dates `getNorm(as_of=…)` can actually answer before you ask. Each entry carries `first_observed` (the day the text was first seen here — NOT the Inkrafttreten), `valid_to`, `date_precision` and the law-level `amendment_nlistCitingDecisionsIncoming citation edges. Give EITHER `law` + `ref` (which decisions apply this statute provision) OR `case` (which decisions cite this decision) — exactly one of the two. Results are ranked by citation weight, then court tier, then recency. Read the ranking honestly: for a provision with many EU delistCitedAuthoritiesOutgoing citation edges of one decision: the statute provisions it cites (with how often it cites each — that is the Normenkette, weighted) and the decisions it relies on. `treatment` is null on every edge and stays null. Classifying an edge as gefolgt / abgegrenzt / aufgegeben is unbuilt work, andlistCasePassagesThe full text of one decision, split into its paragraphs, each with a permalink you can cite. `rn` is the Randnummer the COURT printed, read out of the decision's own markup. It is never inferred from position: where a document prints no numbers, `rn` is null and stays null. `anchor_basis` is derivgetChangesWhich provisions got a new text recently, newest first — the freshness feed, as JSON. Poll it with `since` set to the newest `observed` you have already processed. `observed` is the day the new text was FIRST SEEN here, which is not necessarily the day it came into force. Say so if you report a datgetCoverageCorpus scope with its holes stated. Call this once when your answer depends on whether an absence is real. Returns totals (laws, provisions, versions, decisions, courts, citation edges), the per-source windows, the count of Aktenzeichen we can prove exist and do not hold, and `limits`: the version-
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