mcp server
Citation Safe Verifier
Verifies legal citations vs primary sources: existence, quote match, proposition support.
Description as published by the maintainer. Source
- version 1.0.0
- archived
archived — The linked repository returns 404. It was deleted, renamed or made private.
What this server can do
8 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
batch_verify_citations(texts)- Runs the same 3-layer citation verification as verify_citation across multiple texts in a single call. Each item is billed against your CitationSafe usage exactly like an individual verify_citation call — batching never bypasses your plan's monthly limit. Max 10 items per batch, 64,000 characters per item. Requires a signed-in CitationSafe account (Authorization: Bearer <access_token>) — anonymous batch calls are not supported, use verify_citation for anonymous single-text checks. Required: texts.
get_verification(id)- Retrieves a previously run CitationSafe verification (by the verificationId returned from verify_citation/verify_document, or from a citationsafe.com/v/{id} share link) and returns its full per-citation results. Required: id.
is_this_case_real(citation)- Deterministic existence check (Layer 1 only, no LLM) for one legal citation against CourtListener's primary-source database. Answers the single question "is this case real" for one citation — for multi-citation quote-checked verdicts across a whole brief, use verify_brief instead. Free tier: 5 checks/day per IP, no key required. For unlimited access, pass an API key as "Authorization: Bearer <key>" (contact support@citationsafe.com to request one). Required: citation.
search_phantoms(query)- Searches CitationSafe's phantom-citation registry — fabricated case names/citations that have shown up in real, sanctioned AI-hallucination incidents — by case name or the AI system that produced them. Read-only, public data. Returns an empty array (not an error) if nothing matches or the registry has no entries yet. Required: query.
search_sanctions(court, query)- Searches CitationSafe's database of real court sanctions/orders arising from AI-hallucinated legal citations, by court name, party/case name keyword, or free-text keyword. Read-only, public data — same dataset backing citationsafe.com/sanctions-database.
verify_brief(text)- Runs existence (Layer 1) and quote-match (Layer 2) checks — both deterministic, no LLM — on every citation found in the given text and returns one verdict per citation. The multi-citation counterpart to is_this_case_real. Proposition support (Layer 3) is not included on this free/API-key surface; sign in at citationsafe.com for full 3-layer verification via verify_citation. Free tier: 5 checks/day per IP (one verify_brief call = one check, regardless of how many citations the text contains); an API key bypasses the daily cap. Required: text.
verify_citation(text)- Checks every legal citation in the given text against primary sources: does the cited case exist (Layer 1, CourtListener database lookup — deterministic, no LLM), does a quoted passage appear in the source opinion (Layer 2), and — on paid CitationSafe tiers — does the case support the proposition it's cited for (Layer 3). Returns VERIFIED / UNCONFIRMED / UNCONFIRMED — OUTSIDE COVERAGE / SOURCE UNAVAILABLE per citation, never a bare true/false, with source links. Not legal advice. Required: text.
verify_document(url)- Fetches a document (PDF, DOCX, or plain text) from a URL and runs the same 3-layer citation verification as verify_citation. Use this when you have a link to a brief rather than pasted text. Required: url.
Last successful function declaration observed on . Source: https://citationsafe.com/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://citationsafe.com/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-14 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-14 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | not_found | GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. | as of fetch | GitHub | |
| mcp tools declared | 8 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | citationsafe.com | |
| mcp endpoint status | ok | The server listed 8 functions when asked. | as of probe | citationsafe.com |
Where to get it
Also from andrewjgaber-commits
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ai.argushq/enforcement-database
— repository gone
Search Argus HQ public FDA enforcement data: warning letters, recalls, approvals, 483s.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json