DocketTrail
State healthcare transaction reviews in OR, CA and MA, with agency sources and observed dates.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (5)
- HIGH
- MEDIUMin search_proceedings
- MEDIUMin get_proceeding
- MEDIUMin list_changes
- MEDIUMin find_organization
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"dockettrail": {
"url": "https://dockettrail.com/mcp"
}
}
}Remote-Endpunkte
https://dockettrail.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢search_proceedings(state, status, org, agency, q, ...)
List healthcare transaction reviews (one row per state proceeding, newest development first): parties as filed, the agency, its status in its own words, stage, latest dated event, the agency page (source_url) and the DocketTrail page (url). Filter by state and status; a founding key adds org, agency, q (keyword) and since. Use get_proceeding for one transaction in full. Covers Oregon, California and Massachusetts healthcare transaction reviews only (see https://dockettrail.com/coverage for what is tracked and what was checked and not tracked). Every result is a public agency record, in the agency's own words, with source_url (the agency page it was read from) and the day DocketTrail observed it (observed_day, first_seen_at, last_checked_at; UTC). Nothing here is legal advice, and absence from the data is not a claim that no review exists.
Eingabe-Schema
{
"type": "object",
"properties": {
"state": {
"description": "Two-letter state code: OR, CA or MA.",
"type": "string"
},
"status": {
"description": "A status as DocketTrail maps it, for example OPEN, APPROVED, WITHDRAWN, COMPLETED. An unknown value is refused with the list.",
"type": "string"
},
"org": {
"description": "Founding key only. An organization slug, from find_organization.",
"type": "string"
},
"agency": {
"description": "Founding key only. An agency slug: the agency's name, lower-case and hyphenated.",
"type": "string"
},
"q": {
"description": "Founding key only. A keyword, matched as a substring of the parties as filed, the agency title and status, and the agency name.",
"type": "string"
},
"since": {
"description": "Founding key only. A date, yyyy-mm-dd (UTC): only what DocketTrail observed changing on or after that day.",
"type": "string"
},
"page": {
"description": "Page number, from 1.",
"type": "integer",
"minimum": 1,
"maximum": 9007199254740991
},
"per_page": {
"description": "Records per page. Default 25; 25 is the most without a founding key, 200 with one.",
"type": "integer",
"minimum": 1,
"maximum": 200
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_proceeding(slug)
One transaction by the slug of its DocketTrail page (the transaction_slug of a search result): every state proceeding in it with the agency's wording and source link, the full trail of dated events (as the agency published or printed them), documents, and the changes DocketTrail observed. Covers Oregon, California and Massachusetts healthcare transaction reviews only (see https://dockettrail.com/coverage for what is tracked and what was checked and not tracked). Every result is a public agency record, in the agency's own words, with source_url (the agency page it was read from) and the day DocketTrail observed it (observed_day, first_seen_at, last_checked_at; UTC). Nothing here is legal advice, and absence from the data is not a claim that no review exists.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "The transaction slug, the last part of https://dockettrail.com/transactions/{slug}."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_changes(state, kind, org, agency, q, ...)
What changed, newest first: new proceedings, the agency's wording changed (before and after, verbatim), new events, new documents. Dated by the day DocketTrail observed the change on a check of the agency's page, not the day it happened. Without a key: the last 30 days, filtered by state and kind. A founding key reads the full history and adds org, agency, q and since. Covers Oregon, California and Massachusetts healthcare transaction reviews only (see https://dockettrail.com/coverage for what is tracked and what was checked and not tracked). Every result is a public agency record, in the agency's own words, with source_url (the agency page it was read from) and the day DocketTrail observed it (observed_day, first_seen_at, last_checked_at; UTC). Nothing here is legal advice, and absence from the data is not a claim that no review exists.
Eingabe-Schema
{
"type": "object",
"properties": {
"state": {
"description": "Two-letter state code: OR, CA or MA.",
"type": "string"
},
"kind": {
"description": "RECORD_ADDED, STATUS_CHANGED (the agency wording changed), EVENT_ADDED or NOTE_CHANGED (a note or document).",
"type": "string"
},
"org": {
"description": "Founding key only. An organization slug, from find_organization.",
"type": "string"
},
"agency": {
"description": "Founding key only. An agency slug: the agency's name, lower-case and hyphenated.",
"type": "string"
},
"q": {
"description": "Founding key only. A keyword, matched as a substring of the parties as filed, the agency title and status, and the agency name.",
"type": "string"
},
"since": {
"description": "Founding key only. A date, yyyy-mm-dd (UTC): only what DocketTrail observed changing on or after that day.",
"type": "string"
},
"page": {
"description": "Page number, from 1.",
"type": "integer",
"minimum": 1,
"maximum": 9007199254740991
},
"per_page": {
"description": "Records per page. Default 25; 25 is the most without a founding key, 200 with one.",
"type": "integer",
"minimum": 1,
"maximum": 200
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_organization(name, slug, state, page, per_page)
Find an organization by name (its canonical name or any name it files under, as the agency printed it), or open one by slug to see its transactions, the names it files under in each state and how each was matched. Organizations are linked across states only from a reviewed list, never by a name that looks alike. Covers Oregon, California and Massachusetts healthcare transaction reviews only (see https://dockettrail.com/coverage for what is tracked and what was checked and not tracked). Every result is a public agency record, in the agency's own words, with source_url (the agency page it was read from) and the day DocketTrail observed it (observed_day, first_seen_at, last_checked_at; UTC). Nothing here is legal advice, and absence from the data is not a claim that no review exists.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"description": "Part of an organization name; at least two letters or digits.",
"type": "string"
},
"slug": {
"description": "An organization slug, to open that organization.",
"type": "string"
},
"state": {
"description": "Two-letter state code: OR, CA or MA.",
"type": "string"
},
"page": {
"description": "Page number, from 1.",
"type": "integer",
"minimum": 1,
"maximum": 9007199254740991
},
"per_page": {
"description": "Records per page. Default 25; 25 is the most without a founding key, 200 with one.",
"type": "integer",
"minimum": 1,
"maximum": 200
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Nachweis