# Nulegal Recht MCP server

Source: https://glimind.com/server/mcp-registry%2Feu.nulegal%2Frecht
Registry id: `mcp-registry/eu.nulegal/recht`
Status: live (checked 2026-10-27T02:46:33.829Z)

## Measurements (30 days)

- Uptime: 99.97%
- Checks: 4946
- Outages (90 days): 1

## Install

```json
{
  "mcpServers": {
    "nulegal-recht-mcp-server": {
      "type": "http",
      "url": "https://recht.nulegal.eu/v1/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http nulegal-recht-mcp-server https://recht.nulegal.eu/v1/mcp
```

## Tools (9)

- `getChanges`: Which 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 process
- `getCoverage`: Corpus scope with its holes stated. Call this once when your answer depends on whether an absence is real. Returns totals (laws, provisions, versions, decisions
- `getNorm`: The 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 n
- `listCasePassages`: The 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
- `listCitedAuthorities`: Outgoing 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
- `listCitingDecisions`: Incoming citation edges. Give EITHER `law` + `ref` (which decisions apply this statute provision) OR `case` (which decisions cite this decision) — exactly one o
- `listNormVersions`: Every 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 `
- `resolveIdentifiers`: Ground 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 alr
- `search`: One query over BOTH corpora: federal and Land statutes (lexical, with concept pinning) and court decisions (semantic — natural-language questions work well here

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